This document provides an overview of topics covered in Chapter 7 on software design and implementation, including object-oriented design using UML, design patterns, implementation issues, and open source development. It discusses the design and implementation process, build vs buy approaches, object-oriented design processes involving system models, and key activities like defining system context, identifying objects and interfaces. Specific examples are provided for designing a wilderness weather station system.
Architectural design involves identifying major system components and their communications. Architectural views provide different perspectives of the system, such as conceptual, logical, process, and development views. Common architectural patterns include model-view-controller, layered, client-server, and pipe-and-filter architectures. Application architectures define common structures for transaction processing, information, and language processing systems.
System modeling involves creating abstract models of a system from different perspectives, such as context, interactions, structure, and behavior. These models help analysts understand system functionality and communicate with customers. Context models show a system's external environment and relationships. Interaction models, such as use case and sequence diagrams, depict how users and systems interact. Structural models, like class diagrams, represent a system's internal organization. Behavioral models, including activity and state diagrams, illustrate a system's dynamic response to events or data. Model-driven engineering aims to generate implementation from system models.
Ian Sommerville, Software Engineering, 9th EditionCh 8Mohammed Romi
The document discusses different types of software testing including unit testing, component testing, and system testing. Unit testing involves testing individual program components in isolation through techniques like partition testing and guideline-based testing. Component testing focuses on testing interactions between components through their interfaces. System testing integrates components to test their interactions and check for emergent behaviors that are not explicitly defined. The document also covers test-driven development, which involves writing tests before code in incremental cycles.
This document provides an overview of key topics from Chapter 11 on security and dependability, including:
- The principal dependability properties of availability, reliability, safety, and security.
- Dependability covers attributes like maintainability, repairability, survivability, and error tolerance.
- Dependability is important because system failures can have widespread effects and undependable systems may be rejected.
- Dependability is achieved through techniques like fault avoidance, detection and removal, and building in fault tolerance.
Ian Sommerville, Software Engineering, 9th Edition Ch 4Mohammed Romi
The document discusses requirements engineering and summarizes key topics covered in Chapter 4, including:
- The importance of specifying both functional and non-functional requirements. Non-functional requirements place constraints on system functions and development process.
- The software requirements specification document defines what the system must do and includes both user and system requirements. It should not describe how the system will be implemented.
- Requirements engineering involves eliciting, analyzing, validating and managing requirements throughout the development lifecycle. Precise, complete and consistent requirements are important for development.
The document discusses various types of software testing:
- Development testing includes unit, component, and system testing to discover defects.
- Release testing is done by a separate team to validate the software meets requirements before release.
- User testing involves potential users testing the system in their own environment.
The goals of testing are validation, to ensure requirements are met, and defect testing to discover faults. Automated unit testing and test-driven development help improve test coverage and regression testing.
The document discusses requirements engineering for software systems. It covers topics like functional and non-functional requirements, the software requirements document, requirements specification processes, and requirements elicitation, analysis, and management. Requirements engineering is the process of establishing customer needs for a system and constraints for its development and operation. Requirements can range from abstract to highly detailed and serve different purposes depending on their intended use.
Ian Sommerville, Software Engineering, 9th Edition Ch2Mohammed Romi
This document summarizes key aspects of software processes and models. It discusses the basic activities involved in software development like specification, design, implementation, validation and evolution. It describes process models like waterfall, incremental development and reuse-oriented processes. The waterfall model involves sequential phases while incremental development interleaves activities. Validation includes testing stages from unit to system level. The document also covers designing for change and evolution.
Architectural design involves identifying major system components and their communications. Architectural views provide different perspectives of the system, such as conceptual, logical, process, and development views. Common architectural patterns include model-view-controller, layered, client-server, and pipe-and-filter architectures. Application architectures define common structures for transaction processing, information, and language processing systems.
System modeling involves creating abstract models of a system from different perspectives, such as context, interactions, structure, and behavior. These models help analysts understand system functionality and communicate with customers. Context models show a system's external environment and relationships. Interaction models, such as use case and sequence diagrams, depict how users and systems interact. Structural models, like class diagrams, represent a system's internal organization. Behavioral models, including activity and state diagrams, illustrate a system's dynamic response to events or data. Model-driven engineering aims to generate implementation from system models.
Ian Sommerville, Software Engineering, 9th EditionCh 8Mohammed Romi
The document discusses different types of software testing including unit testing, component testing, and system testing. Unit testing involves testing individual program components in isolation through techniques like partition testing and guideline-based testing. Component testing focuses on testing interactions between components through their interfaces. System testing integrates components to test their interactions and check for emergent behaviors that are not explicitly defined. The document also covers test-driven development, which involves writing tests before code in incremental cycles.
This document provides an overview of key topics from Chapter 11 on security and dependability, including:
- The principal dependability properties of availability, reliability, safety, and security.
- Dependability covers attributes like maintainability, repairability, survivability, and error tolerance.
- Dependability is important because system failures can have widespread effects and undependable systems may be rejected.
- Dependability is achieved through techniques like fault avoidance, detection and removal, and building in fault tolerance.
Ian Sommerville, Software Engineering, 9th Edition Ch 4Mohammed Romi
The document discusses requirements engineering and summarizes key topics covered in Chapter 4, including:
- The importance of specifying both functional and non-functional requirements. Non-functional requirements place constraints on system functions and development process.
- The software requirements specification document defines what the system must do and includes both user and system requirements. It should not describe how the system will be implemented.
- Requirements engineering involves eliciting, analyzing, validating and managing requirements throughout the development lifecycle. Precise, complete and consistent requirements are important for development.
The document discusses various types of software testing:
- Development testing includes unit, component, and system testing to discover defects.
- Release testing is done by a separate team to validate the software meets requirements before release.
- User testing involves potential users testing the system in their own environment.
The goals of testing are validation, to ensure requirements are met, and defect testing to discover faults. Automated unit testing and test-driven development help improve test coverage and regression testing.
The document discusses requirements engineering for software systems. It covers topics like functional and non-functional requirements, the software requirements document, requirements specification processes, and requirements elicitation, analysis, and management. Requirements engineering is the process of establishing customer needs for a system and constraints for its development and operation. Requirements can range from abstract to highly detailed and serve different purposes depending on their intended use.
Ian Sommerville, Software Engineering, 9th Edition Ch2Mohammed Romi
This document summarizes key aspects of software processes and models. It discusses the basic activities involved in software development like specification, design, implementation, validation and evolution. It describes process models like waterfall, incremental development and reuse-oriented processes. The waterfall model involves sequential phases while incremental development interleaves activities. Validation includes testing stages from unit to system level. The document also covers designing for change and evolution.
The document discusses different types of software testing:
- Development testing includes unit, component, and system testing to discover bugs during development. Unit testing involves testing individual program units in isolation.
- Release testing is done by a separate team to test a complete version before public release.
- User testing involves potential users testing the system in their own environment.
The goals of testing are to demonstrate that software meets requirements and to discover incorrect or undesirable behavior to find defects. Different testing types include validation testing to check correct functionality and defect testing to uncover bugs. Both inspections and testing are important and complementary methods in software verification.
The chapter discusses software evolution, including that software change is inevitable due to new requirements, business changes, and errors. It describes how organizations must manage change to existing software systems, which represent huge investments. The majority of large software budgets are spent evolving, rather than developing new, systems. The chapter outlines the software evolution process and different approaches to evolving systems, including addressing urgent changes. It also discusses challenges with legacy systems and their management.
This document discusses software processes and models. It covers the following key points:
1. Software processes involve activities like specification, design, implementation, validation and evolution to develop software systems. Common process models include waterfall, incremental development and reuse-oriented development.
2. Processes need to cope with inevitable changes. This can involve prototyping to avoid rework or using incremental development and delivery to more easily accommodate changes.
3. The Rational Unified Process is a modern process model with phases for inception, elaboration, construction and transition. It advocates iterative development and managing requirements and quality.
Software evolution involves making ongoing changes to software systems to address new requirements, fix errors, and improve performance. There are several approaches to managing software evolution, including maintenance, reengineering, refactoring, and legacy system management. Key considerations for legacy systems include assessing their business value and quality to determine whether they should be replaced, transformed, or maintained.
This document provides an overview of software reuse techniques discussed in Chapter 16, including:
1) Application frameworks which provide reusable skeleton designs through abstract and concrete classes;
2) Software product lines which allow generic applications to be adapted through configuration, component selection, and specialization for different requirements;
3) COTS (commercial off-the-shelf) product reuse where pre-existing software systems can be customized through deployment configuration without changing source code.
Ian Sommerville, Software Engineering, 9th Edition Ch1Mohammed Romi
The document provides an introduction to software engineering concepts. It discusses what software engineering is, the importance of ethics in software development, and introduces three case studies that will be used as examples throughout the book. Specifically:
[1] It defines software engineering as an engineering discipline concerned with all aspects of software production. Professional and ethical practices are important.
[2] It discusses software engineering ethics and introduces the ACM/IEEE code of ethics for software engineers.
[3] It provides an overview of three case studies that will be referenced in later chapters: an insulin pump system, a patient management system, and a weather station system.
The document discusses chapter 7 of a software engineering textbook which covers design and implementation. It begins by outlining the topics to be covered, including object-oriented design using UML, design patterns, and implementation issues. It then discusses the software design and implementation process, considerations around building versus buying systems, and approaches to object-oriented design using UML.
This chapter discusses system modeling and different types of models used, including:
- Context models which illustrate the operational context of a system.
- Interaction models which model interactions between a system and its environment.
- Structural models which display the organization of a system's components.
- Behavioral models which model a system's dynamic behavior in response to events or data.
- Model-driven engineering is discussed as an approach where models rather than code are the primary outputs.
This document discusses software reuse and application frameworks. It covers the benefits of software reuse like accelerated development and increased dependability. Application frameworks provide a reusable architecture for related applications and are implemented by adding components and instantiating abstract classes. Web application frameworks in particular use the model-view-controller pattern to support dynamic websites as a front-end for web applications.
This document discusses quality management in software development. It covers topics like software quality, standards, reviews/inspections, quality management in agile development, and software measurement. Regarding quality management, the key points are that it provides an independent check on the development process, ensures deliverables meet goals/standards, and the quality team should be independent from developers. Quality plans set quality goals and define assessment processes and standards to apply. Quality management is important for large, complex systems and focuses on establishing a quality culture for smaller systems.
Linear algebra provides the tools needed for machine learning algorithms by allowing complex operations to be described using matrices and vectors. It is widely used in machine learning because operations can be parallelized efficiently. Linear algebra also provides the foundation and notation used in other fields like calculus and probability that are important for machine learning. Machine learning involves feeding training data to algorithms that produce mathematical models to make predictions without being explicitly programmed. It works by learning from experience to improve performance at tasks over time. There are various applications of machine learning like image recognition, speech recognition, recommendations, and fraud detection.
The document discusses reliability engineering and fault tolerance. It covers topics like availability, reliability requirements, fault-tolerant architectures, and reliability measurement. It defines key terms like faults, errors, and failures. It also describes techniques for achieving reliability like fault avoidance, fault detection, and fault tolerance. Specific architectures discussed include redundant systems and protection systems that can take emergency action if failures occur.
The document discusses the design and implementation process in software engineering. It covers topics like using the Unified Modeling Language (UML) for object-oriented design, design patterns, and implementation issues. It then discusses the design process, including identifying system contexts and interactions, architectural design, identifying object classes, and creating design models like subsystem, sequence, and state diagrams. The example of designing a weather station system is used to illustrate these design concepts and activities.
This document discusses agile software development methods. It covers topics like agile principles, extreme programming practices including test-driven development and pair programming. It also discusses scaling agile methods to larger projects using scrum, with sprints and daily stand-up meetings. Some challenges of applying agile to large, long-term projects with distributed teams are also outlined.
This document provides an overview of component-based software engineering (CBSE). It discusses CBSE processes, component models, composition, and issues related to developing and reusing components. Specifically, it covers CBSE for reuse, which focuses on developing reusable components, and CBSE with reuse, which is the process of developing new applications using existing components. Component identification, validation, and resolving interface incompatibilities during composition are also addressed.
This document provides an introduction to software engineering topics including:
1. What software engineering is, its importance, and the software development lifecycle activities it encompasses.
2. The many different types of software systems that exist and how software engineering approaches vary depending on the application.
3. Key fundamentals of software engineering that apply universally, including managing development processes, dependability, and reusing existing software components.
The document discusses architectural design and various architectural concepts. It covers topics like architectural design decisions, architectural views using different models, common architectural patterns like MVC and layered architectures, application architectures, and how architectural design is concerned with organizing a software system and identifying its main structural components and relationships.
The document discusses agile software development methods. It covers topics like agile methods, techniques, and project management. Agile development aims to rapidly develop and deliver working software through iterative processes, customer collaboration, and responding to changing requirements. Extreme programming (XP) is an influential agile method that uses practices like test-driven development, pair programming, frequent refactoring, and user stories for requirements specification. The key principles of agile methods are also outlined.
This document discusses key topics in systems engineering, including:
1) Systems engineering involves procuring, designing, implementing, and maintaining sociotechnical systems that include both technical and human elements.
2) Software systems are part of broader sociotechnical systems and software engineers must consider human, social, and organizational factors.
3) Sociotechnical systems have emergent properties that depend on the interactions between system components and cannot be understood by examining the components individually.
This document discusses configuration management (CM) and version control. It covers topics like version management, system building, change management, and release management. CM is important for software development as it allows tracking of changing software systems and components. Version control systems are key to CM, identifying and storing different versions. They support independent development through a shared repository and private workspaces. Developers check components in and out to make changes separately without interfering with each other.
This document discusses the design and implementation chapter of a lecture. It covers topics like using UML for object-oriented design, design patterns, and implementation issues. It then discusses the weather station case study used to illustrate the design process, including defining system context, use cases, architectural design, identifying object classes, design models, and interface specification.
The document discusses different types of software testing:
- Development testing includes unit, component, and system testing to discover bugs during development. Unit testing involves testing individual program units in isolation.
- Release testing is done by a separate team to test a complete version before public release.
- User testing involves potential users testing the system in their own environment.
The goals of testing are to demonstrate that software meets requirements and to discover incorrect or undesirable behavior to find defects. Different testing types include validation testing to check correct functionality and defect testing to uncover bugs. Both inspections and testing are important and complementary methods in software verification.
The chapter discusses software evolution, including that software change is inevitable due to new requirements, business changes, and errors. It describes how organizations must manage change to existing software systems, which represent huge investments. The majority of large software budgets are spent evolving, rather than developing new, systems. The chapter outlines the software evolution process and different approaches to evolving systems, including addressing urgent changes. It also discusses challenges with legacy systems and their management.
This document discusses software processes and models. It covers the following key points:
1. Software processes involve activities like specification, design, implementation, validation and evolution to develop software systems. Common process models include waterfall, incremental development and reuse-oriented development.
2. Processes need to cope with inevitable changes. This can involve prototyping to avoid rework or using incremental development and delivery to more easily accommodate changes.
3. The Rational Unified Process is a modern process model with phases for inception, elaboration, construction and transition. It advocates iterative development and managing requirements and quality.
Software evolution involves making ongoing changes to software systems to address new requirements, fix errors, and improve performance. There are several approaches to managing software evolution, including maintenance, reengineering, refactoring, and legacy system management. Key considerations for legacy systems include assessing their business value and quality to determine whether they should be replaced, transformed, or maintained.
This document provides an overview of software reuse techniques discussed in Chapter 16, including:
1) Application frameworks which provide reusable skeleton designs through abstract and concrete classes;
2) Software product lines which allow generic applications to be adapted through configuration, component selection, and specialization for different requirements;
3) COTS (commercial off-the-shelf) product reuse where pre-existing software systems can be customized through deployment configuration without changing source code.
Ian Sommerville, Software Engineering, 9th Edition Ch1Mohammed Romi
The document provides an introduction to software engineering concepts. It discusses what software engineering is, the importance of ethics in software development, and introduces three case studies that will be used as examples throughout the book. Specifically:
[1] It defines software engineering as an engineering discipline concerned with all aspects of software production. Professional and ethical practices are important.
[2] It discusses software engineering ethics and introduces the ACM/IEEE code of ethics for software engineers.
[3] It provides an overview of three case studies that will be referenced in later chapters: an insulin pump system, a patient management system, and a weather station system.
The document discusses chapter 7 of a software engineering textbook which covers design and implementation. It begins by outlining the topics to be covered, including object-oriented design using UML, design patterns, and implementation issues. It then discusses the software design and implementation process, considerations around building versus buying systems, and approaches to object-oriented design using UML.
This chapter discusses system modeling and different types of models used, including:
- Context models which illustrate the operational context of a system.
- Interaction models which model interactions between a system and its environment.
- Structural models which display the organization of a system's components.
- Behavioral models which model a system's dynamic behavior in response to events or data.
- Model-driven engineering is discussed as an approach where models rather than code are the primary outputs.
This document discusses software reuse and application frameworks. It covers the benefits of software reuse like accelerated development and increased dependability. Application frameworks provide a reusable architecture for related applications and are implemented by adding components and instantiating abstract classes. Web application frameworks in particular use the model-view-controller pattern to support dynamic websites as a front-end for web applications.
This document discusses quality management in software development. It covers topics like software quality, standards, reviews/inspections, quality management in agile development, and software measurement. Regarding quality management, the key points are that it provides an independent check on the development process, ensures deliverables meet goals/standards, and the quality team should be independent from developers. Quality plans set quality goals and define assessment processes and standards to apply. Quality management is important for large, complex systems and focuses on establishing a quality culture for smaller systems.
Linear algebra provides the tools needed for machine learning algorithms by allowing complex operations to be described using matrices and vectors. It is widely used in machine learning because operations can be parallelized efficiently. Linear algebra also provides the foundation and notation used in other fields like calculus and probability that are important for machine learning. Machine learning involves feeding training data to algorithms that produce mathematical models to make predictions without being explicitly programmed. It works by learning from experience to improve performance at tasks over time. There are various applications of machine learning like image recognition, speech recognition, recommendations, and fraud detection.
The document discusses reliability engineering and fault tolerance. It covers topics like availability, reliability requirements, fault-tolerant architectures, and reliability measurement. It defines key terms like faults, errors, and failures. It also describes techniques for achieving reliability like fault avoidance, fault detection, and fault tolerance. Specific architectures discussed include redundant systems and protection systems that can take emergency action if failures occur.
The document discusses the design and implementation process in software engineering. It covers topics like using the Unified Modeling Language (UML) for object-oriented design, design patterns, and implementation issues. It then discusses the design process, including identifying system contexts and interactions, architectural design, identifying object classes, and creating design models like subsystem, sequence, and state diagrams. The example of designing a weather station system is used to illustrate these design concepts and activities.
This document discusses agile software development methods. It covers topics like agile principles, extreme programming practices including test-driven development and pair programming. It also discusses scaling agile methods to larger projects using scrum, with sprints and daily stand-up meetings. Some challenges of applying agile to large, long-term projects with distributed teams are also outlined.
This document provides an overview of component-based software engineering (CBSE). It discusses CBSE processes, component models, composition, and issues related to developing and reusing components. Specifically, it covers CBSE for reuse, which focuses on developing reusable components, and CBSE with reuse, which is the process of developing new applications using existing components. Component identification, validation, and resolving interface incompatibilities during composition are also addressed.
This document provides an introduction to software engineering topics including:
1. What software engineering is, its importance, and the software development lifecycle activities it encompasses.
2. The many different types of software systems that exist and how software engineering approaches vary depending on the application.
3. Key fundamentals of software engineering that apply universally, including managing development processes, dependability, and reusing existing software components.
The document discusses architectural design and various architectural concepts. It covers topics like architectural design decisions, architectural views using different models, common architectural patterns like MVC and layered architectures, application architectures, and how architectural design is concerned with organizing a software system and identifying its main structural components and relationships.
The document discusses agile software development methods. It covers topics like agile methods, techniques, and project management. Agile development aims to rapidly develop and deliver working software through iterative processes, customer collaboration, and responding to changing requirements. Extreme programming (XP) is an influential agile method that uses practices like test-driven development, pair programming, frequent refactoring, and user stories for requirements specification. The key principles of agile methods are also outlined.
This document discusses key topics in systems engineering, including:
1) Systems engineering involves procuring, designing, implementing, and maintaining sociotechnical systems that include both technical and human elements.
2) Software systems are part of broader sociotechnical systems and software engineers must consider human, social, and organizational factors.
3) Sociotechnical systems have emergent properties that depend on the interactions between system components and cannot be understood by examining the components individually.
This document discusses configuration management (CM) and version control. It covers topics like version management, system building, change management, and release management. CM is important for software development as it allows tracking of changing software systems and components. Version control systems are key to CM, identifying and storing different versions. They support independent development through a shared repository and private workspaces. Developers check components in and out to make changes separately without interfering with each other.
This document discusses the design and implementation chapter of a lecture. It covers topics like using UML for object-oriented design, design patterns, and implementation issues. It then discusses the weather station case study used to illustrate the design process, including defining system context, use cases, architectural design, identifying object classes, design models, and interface specification.
This document discusses design and implementation topics covered in Chapter 7, including object-oriented design using UML, design patterns, implementation issues, and open source development. It provides an example of designing a weather station system using various UML diagrams to illustrate the object-oriented design process. Key activities covered are identifying objects, developing design models, and specifying object interfaces. Implementation issues discussed include reuse, configuration management, and host-target development.
This document discusses topics related to software design and implementation, including object-oriented design using UML, design patterns, and implementation issues. It provides details on the design and implementation process for a weather station system, including identifying system objects and classes, developing design models like sequence and state diagrams, and specifying interfaces. Design patterns are also introduced as a way to reuse solutions to common problems.
This chapter discusses software design and implementation. It covers object-oriented design using UML, design patterns, implementation issues, and open source development. The key stages of design and implementation are discussed, including defining requirements, designing architecture, identifying objects, developing design models, and specifying interfaces. Common design models like use case diagrams, sequence diagrams, and state diagrams are presented. Design patterns like Observer are explained. Implementation issues around reuse, configuration management, and host-target development are also covered.
This document discusses design and implementation in software engineering. It covers object-oriented design using the Unified Modeling Language (UML), implementation issues such as reuse and configuration management, and open source development. Specifically, it provides examples and diagrams for the design of a weather station system, including use cases, classes, interfaces, and state diagrams. It emphasizes that design is an iterative process involving modeling the system context, architecture, objects, and their interactions.
This document provides an introduction to object-oriented analysis and design (OOAD) and the Unified Modeling Language (UML). It discusses the basic concepts of OOAD and how UML uses diagrams to model software systems. UML diagrams can be used in all phases of the software development life cycle, including requirements analysis, design, implementation, and testing. The document also gives an overview of the different parts of UML, such as views, diagrams, relationships, and model elements.
The document discusses software architecture, including:
1. Definitions of software architecture and how it is influenced.
2. Common sections of a software architecture document such as introduction, views, goals and quality.
3. Architectural patterns and views including model-view-controller, layered patterns, and the "4+1" views of logical, process, deployment, and implementation.
4. How architecture addresses concerns like complexity, communication, and early decisions.
The document discusses architectural design in software engineering. It covers topics like architectural design decisions, views, patterns, and application architectures. Architectural design involves identifying major system components and their communications in order to represent the link between specification and design processes. Common architectural patterns discussed include model-view-controller, layered architectures, repositories, client-server, pipes and filters. The document also provides examples of architectures for different types of applications like transaction processing systems and information systems.
Object-oriented design involves representing a software system as interacting objects that manage their own state and operations. The key activities in object-oriented design are object identification, developing design models like class diagrams and sequence diagrams, and specifying object interfaces. Design evolution is simplified since changes made to objects do not unpredictably affect other objects due to encapsulation.
The document introduces software architecture and describes key aspects of documenting a software architecture. It defines software architecture as the structure of components and relationships in a system. It outlines the 4+1 views model for documenting architecture, including use case, logical, process, deployment, and code views. It provides examples of architectural patterns like model-view-controller and layered patterns. It describes how a software architecture document outlines architectural goals, constraints, and quality attributes.
This document discusses architectural design and provides examples of architectural views, patterns, and decisions. It covers topics such as the 4+1 view model, layered architecture pattern, model-view-controller pattern, and how architectural decisions impact system characteristics such as performance, security, and maintainability. Key points are that architectural design represents a link between specification and design, and that views, patterns, and decisions are important aspects of documenting and designing software architectures.
The document discusses object-oriented design and its role in software development. It describes how design builds upon analysis to provide implementation details. Key aspects of object-oriented design include defining a multilayered architecture, specifying subsystems and components, describing classes and objects, and defining communication mechanisms. The input to design comes from artifacts created in analysis like use cases and class models. The output of design serves as a blueprint to guide construction.
The document discusses architectural design and provides examples of different architectural patterns and application architectures. It begins with defining architectural design and its role in the system design process. It then covers topics such as architectural views, patterns like Model-View-Controller and layered architectures. Examples are given of different application architectures for transaction processing and information systems. Key decisions in architectural design and documenting architectures are also summarized.
The document discusses architectural design and key concepts:
- Architectural design determines the subsystems of a system and how they communicate. It represents the link between specification and design.
- Views and patterns are used to document architectures. Common views include logical, process, development, and physical views. Patterns like MVC and layered architectures organize systems.
- Architectural design involves decisions like the application architecture, distribution, styles, decomposition, and documentation. Views and non-functional requirements influence these decisions.
The document provides an overview of architectural design topics including:
- Architectural design decisions involve choices around application architecture, distribution, styles, and documentation.
- Architectural views provide different perspectives of a system's modules, runtime processes, and distribution.
- Architectural patterns like MVC and layered architectures capture proven design solutions.
- Application architectures provide templates for transaction processing, language processing, and information systems.
Application Of UML In Real-Time Embedded Systemsijseajournal
The UML was designed as a graphical notation for use with object-oriented systems and applications.
Because of its popularity, now it is emerging in the field of embedded systems design as a modeling
language. The UML notation is useful in capturing the requirements, documenting the structure,
decomposing into objects and defining relationships between objects. It is a notational language that is
very useful in modelling the real-time embedded systems. This paper presents the requirements and
analysis modelling of a real-time embedded system related to a control system application for platform
stabilization using COMET method of design with UML notation. These applications involve designing of
electromechanical systems that are controlled by multi-processors.
This document discusses fundamentals of software engineering design. It explains that design creates a representation of software that provides implementation details beyond an analysis model. Four design models are described: data design, architectural design, user interface design, and component-level design. Design principles, concepts like abstraction and patterns are explained. Tools like CASE tools can support design, and evaluation ensures a quality design. A design specification document formally specifies the design.
Requirements validation certifies that the requirements document accurately describes the system to be built. It checks for completeness, consistency, standards compliance, and technical errors. Validation analyzes the final requirements document, while analysis works with initial requirements. Validation inputs include the requirements document and organizational standards. Outputs are a problem list and agreed actions. Requirements reviews involve analyzing the document for problems, discussing issues, and agreeing on solutions. Validation techniques include reviews, prototyping, modeling, and testing.
This document discusses requirements elicitation and analysis. It describes the components and stages of elicitation including understanding the problem domain, stakeholders' needs, and collecting requirements. Analysis techniques are discussed like necessity, consistency, and feasibility checking. Requirements elicitation involves iterative negotiation when conflicts arise. Various techniques are presented like interviews, scenarios, prototyping and observation to understand requirements.
Requirements engineering (RE) involves a set of activities that transform inputs like stakeholder needs into outputs like requirements documents. RE processes vary between organizations and involve eliciting, analyzing, documenting, and validating requirements. Process models describe RE at different levels of detail. RE is influenced by human factors and involves stakeholders from various backgrounds. Process improvement aims to address problems through incremental introduction of good practices, with the goal of increasing process maturity.
The document provides an introduction to requirements engineering and system requirements. It discusses the importance of requirements engineering in the broader systems engineering process. Requirements engineering involves developing requirements documents that define what a system must do and its constraints. Key challenges include ensuring requirements accurately reflect customer needs and avoiding inconsistencies or misunderstandings.
Requirements management involves collecting, storing, and maintaining requirements and related information. It aims to manage changes to requirements and dependencies between requirements. Traceability links requirements to their sources and related designs/documents. Change management defines processes for handling change requests, analyzing impacts, and implementing changes. Traceability and change management policies help control costs by defining what information to collect and maintain.
This document provides an overview of key topics in distributed software engineering. It discusses distributed systems issues, architectural patterns for distributed systems like client-server and peer-to-peer, and software as a service. Some important considerations for designing distributed systems include transparency, openness, scalability, security, and failure management. Middleware helps manage communication and interoperability between diverse components in a distributed system.
This document provides an overview of key topics in service-oriented architecture (SOA) including:
- Services can be implemented as reusable components that are independent of the applications that use them.
- Web services standards like SOAP, WSDL, and WS-BPEL allow services to be described and composed into workflows.
- Service-oriented development involves identifying candidate services, designing service interfaces, and implementing and deploying services. Existing systems can be wrapped as services to promote reuse.
This document summarizes key points from a lecture on aspect-oriented software development:
1. Aspect-oriented development supports separating concerns by representing cross-cutting concerns as aspects. This allows individual concerns to be understood, reused, and modified without changing other parts of the program.
2. Viewpoint-oriented requirements engineering focuses on stakeholder concerns and identifies cross-cutting concerns that affect all viewpoints.
3. Designing aspect-oriented systems involves identifying core functionality, aspects, and where aspects should be composed with the core. Testing aspect-oriented programs poses challenges around program inspection and deriving tests.
This document provides an overview of embedded systems and real-time systems. It discusses topics such as embedded system design, architectural patterns, timing analysis, real-time operating systems, and reactive systems. Key aspects of embedded systems include their need to respond to external events in real-time, their use of cooperating processes controlled by a real-time executive, and constraints related to hardware interaction, safety, and reliability.
This document discusses project management and managing people on software projects. It covers topics like risk management, motivating team members, and dealing with different personality types. It provides an example of an individual motivation issue where a team member has lost interest in the project work and is no longer developing the skills they want. The project manager talks to the team member to understand the problem and find a way to re-engage them by addressing their skill development needs.
This document summarizes Chapter 12 of a textbook on dependability and security specification. It discusses risk-driven specification, including identifying risks, analyzing risks, and defining requirements to reduce risks. It also covers specifying safety requirements by identifying hazards, assessing hazards, and analyzing hazards to discover root causes. The goal is to specify requirements that ensure systems function dependably and securely without failures causing harm.
Static analysis, reliability testing, and security testing are techniques for validating critical systems. Additional validation processes are required for critical systems due to the high costs and consequences of failure. Validation costs for critical systems are significantly higher than for non-critical systems, typically taking up more than 50% of total development costs. The outcome of the validation process is evidence that demonstrates the system's level of dependability.
This document summarizes key topics from a lecture on security engineering:
1. It discusses security engineering and management, risk assessment, and designing systems for security. Application security focuses on design while infrastructure security is a management problem.
2. It outlines guidelines for secure system design including basing decisions on security policies, avoiding single points of failure, balancing security and usability, validating all inputs, and designing for deployment and recoverability.
3. It also covers risk management, assessing threats, and designing architectures with layered protection and distributed assets to minimize the effects of attacks.
The document discusses techniques for achieving dependable software systems. It covers redundancy and diversity approaches including N-version programming where multiple versions of software are developed independently. Dependable system architectures like protection systems and self-monitoring architectures that use redundancy are described. The document emphasizes that a well-defined development process is important for minimizing faults and notes validation activities should include requirements reviews, testing, and change management.
This document discusses sociotechnical systems and systems engineering. It defines sociotechnical systems as systems that include both technical systems (e.g. hardware and software) as well as operational processes and people. Sociotechnical systems have emergent properties that depend on the interactions between system components. They are also non-deterministic since human behavior introduces unpredictability. Developing sociotechnical systems requires an interdisciplinary approach involving areas like software engineering, organizational design, and human factors.
This document summarizes key aspects of project planning and estimation techniques discussed in a lecture. It covers topics like plan-driven vs agile development, project scheduling, estimation models like COCOMO II, and factors that affect estimation accuracy. Project planning involves breaking work into tasks, scheduling, and communicating the plan. Estimation can be experience-based or use algorithmic models factoring in attributes like size, team experience, and complexity.
This document provides an overview of quality management in software engineering. It discusses software quality, standards, reviews and inspections, as well as software measurement and metrics. The key points covered include establishing an organizational framework for quality management, applying specific quality processes and standards at the project level, and conducting independent reviews to ensure compliance. Software metrics can help quantify attributes and identify anomalous components, but meaningful relationships between internal metrics and external quality attributes can be difficult to establish.
Configuration management involves change management, version management, system building, and release management. It ensures changes to software systems are managed and tracked. Version management tracks different versions of components to prevent interference. System building compiles components into executable systems. Release management prepares software for distribution and tracks released versions.
This document summarizes key aspects of process improvement discussed in two lectures. It discusses the process improvement process, including process measurement, analysis, and change. It describes approaches like the CMMI framework and how it is used to assess process maturity levels. It outlines the stages of process change and challenges like resistance to change.
1. Chapter 7 – Design and Implementation Lecture 1 1 Chapter 7 Design and implementation
2. Topics covered Object-oriented design using the UML Design patterns Implementation issues Open source development 2 Chapter 7 Design and implementation
3. Design and implementation Software design and implementation is the stage in the software engineering process at which an executable software system is developed. Software design and implementation activities are invariably inter-leaved. Software design is a creative activity in which you identify software components and their relationships, based on a customer’s requirements. Implementation is the process of realizing the design as a program. 3 Chapter 7 Design and implementation
4. Build or buy In a wide range of domains, it is now possible to buy off-the-shelf systems (COTS) that can be adapted and tailored to the users’ requirements. For example, if you want to implement a medical records system, you can buy a package that is already used in hospitals. It can be cheaper and faster to use this approach rather than developing a system in a conventional programming language. When you develop an application in this way, the design process becomes concerned with how to use the configuration features of that system to deliver the system requirements. 4 Chapter 7 Design and implementation
5. An object-oriented design process Structured object-oriented design processes involve developing a number of different system models. They require a lot of effort for development and maintenance of these models and, for small systems, this may not be cost-effective. However, for large systems developed by different groups design models are an important communication mechanism. 5 Chapter 7 Design and implementation
6. Process stages There are a variety of different object-oriented design processes that depend on the organization using the process. Common activities in these processes include: Define the context and modes of use of the system; Design the system architecture; Identify the principal system objects; Develop design models; Specify object interfaces. Process illustrated here using a design for a wilderness weather station. 6 Chapter 7 Design and implementation
7. System context and interactions Understanding the relationships between the software that is being designed and its external environment is essential for deciding how to provide the required system functionality and how to structure the system to communicate with its environment. Understanding of the context also lets you establish the boundaries of the system. Setting the system boundaries helps you decide what features are implemented in the system being designed and what features are in other associated systems. 7 Chapter 7 Design and implementation
8. Context and interaction models A system context model is a structural model that demonstrates the other systems in the environment of the system being developed. An interaction model is a dynamic model that shows how the system interacts with its environment as it is used. 8 Chapter 7 Design and implementation
9. System context for the weather station 9 Chapter 7 Design and implementation
12. Architectural design Once interactions between the system and its environment have been understood, you use this information for designing the system architecture. You identify the major components that make up the system and their interactions, and then may organize the components using an architectural pattern such as a layered or client-server model. The weather station is composed of independent subsystems that communicate by broadcasting messages on a common infrastructure. 12 Chapter 7 Design and implementation
15. Object class identification Identifying object classes is toften a difficult part of object oriented design. There is no 'magic formula' for object identification. It relies on the skill, experience and domain knowledge of system designers. Object identification is an iterative process. You are unlikely to get it right first time. 15 Chapter 7 Design and implementation
16. Approaches to identification Use a grammatical approach based on a natural language description of the system (used in Hood OOD method). Base the identification on tangible things in the application domain. Use a behavioural approach and identify objects based on what participates in what behaviour. Use a scenario-based analysis. The objects, attributes and methods in each scenario are identified. 16 Chapter 7 Design and implementation
17. Weather station description A weather station is a package of software controlled instruments which collects data, performs some data processing and transmits this data for further processing. The instruments include air and ground thermometers, an anemometer, a wind vane, a barometer and a rain gauge. Data is collected periodically. When a command is issued to transmit the weather data, the weather station processes and summarises the collected data. The summarised data is transmitted to the mapping computer when a request is received. 17 Chapter 7 Design and implementation
18. Weather station object classes Object class identification in the weather station system may be based on the tangible hardware and data in the system: Ground thermometer, Anemometer, Barometer Application domain objects that are ‘hardware’ objects related to the instruments in the system. Weather station The basic interface of the weather station to its environment. It therefore reflects the interactions identified in the use-case model. Weather data Encapsulates the summarized data from the instruments. 18 Chapter 7 Design and implementation
20. Design models Design models show the objects and object classes and relationships between these entities. Static models describe the static structure of the system in terms of object classes and relationships. Dynamic models describe the dynamic interactions between objects. 20 Chapter 7 Design and implementation
21. Examples of design models Subsystem models that show logical groupings of objects into coherent subsystems. Sequence models that show the sequence of object interactions. State machine models that show how individual objects change their state in response to events. Other models include use-case models, aggregation models, generalisation models, etc. 21 Chapter 7 Design and implementation
22. Subsystem models Shows how the design is organised into logically related groups of objects. In the UML, these are shown using packages - an encapsulation construct. This is a logical model. The actual organisation of objects in the system may be different. 22 Chapter 7 Design and implementation
23. Sequence models Sequence models show the sequence of object interactions that take place Objects are arranged horizontally across the top; Time is represented vertically so models are read top to bottom; Interactions are represented by labelled arrows, Different styles of arrow represent different types of interaction; A thin rectangle in an object lifeline represents the time when the object is the controlling object in the system. 23 Chapter 7 Design and implementation
25. State diagrams State diagrams are used to show how objects respond to different service requests and the state transitions triggered by these requests. State diagrams are useful high-level models of a system or an object’s run-time behavior. You don’t usually need a state diagram for all of the objects in the system. Many of the objects in a system are relatively simple and a state model adds unnecessary detail to the design. 25 Chapter 7 Design and implementation
27. Interface specification Object interfaces have to be specified so that the objects and other components can be designed in parallel. Designers should avoid designing the interface representation but should hide this in the object itself. Objects may have several interfaces which are viewpoints on the methods provided. The UML uses class diagrams for interface specification but Java may also be used. 27 Chapter 7 Design and implementation
29. Key points Software design and implementation are inter-leaved activities. The level of detail in the design depends on the type of system and whether you are using a plan-driven or agile approach. The process of object-oriented design includes activities to design the system architecture, identify objects in the system, describe the design using different object models and document the component interfaces. A range of different models may be produced during an object-oriented design process. These include static models (class models, generalization models, association models) and dynamic models (sequence models, state machine models). Component interfaces must be defined precisely so that other objects can use them. A UML interface stereotype may be used to define interfaces. 29 Chapter 7 Design and implementation
30. Chapter 7 – Design and Implementation Lecture 2 30 Chapter 7 Design and implementation
31. Design patterns A design pattern is a way of reusing abstract knowledge about a problem and its solution. A pattern is a description of the problem and the essence of its solution. It should be sufficiently abstract to be reused in different settings. Pattern descriptions usually make use of object-oriented characteristics such as inheritance and polymorphism. 31 Chapter 7 Design and implementation
32. Pattern elements Name A meaningful pattern identifier. Problem description. Solution description. Not a concrete design but a template for a design solution that can be instantiated in different ways. Consequences The results and trade-offs of applying the pattern. 32 Chapter 7 Design and implementation
33. The Observer pattern Name Observer. Description Separates the display of object state from the object itself. Problem description Used when multiple displays of state are needed. Solution description See slide with UML description. Consequences Optimisations to enhance display performance are impractical. 33 Chapter 7 Design and implementation
37. A UML model of the Observer pattern 37 Chapter 7 Design and implementation
38. Design problems To use patterns in your design, you need to recognize that any design problem you are facing may have an associated pattern that can be applied. Tell several objects that the state of some other object has changed (Observer pattern). Tidy up the interfaces to a number of related objects that have often been developed incrementally (Façade pattern). Provide a standard way of accessing the elements in a collection, irrespective of how that collection is implemented (Iterator pattern). Allow for the possibility of extending the functionality of an existing class at run-time (Decorator pattern). 38 Chapter 7 Design and implementation
39. Implementation issues Focus here is not on programming, although this is obviously important, but on other implementation issues that are often not covered in programming texts: Reuse Most modern software is constructed by reusing existing components or systems. When you are developing software, you should make as much use as possible of existing code. Configuration management During the development process, you have to keep track of the many different versions of each software component in a configuration management system. Host-target development Production software does not usually execute on the same computer as the software development environment. Rather, you develop it on one computer (the host system) and execute it on a separate computer (the target system). 39 Chapter 7 Design and implementation
40. Reuse From the 1960s to the 1990s, most new software was developed from scratch, by writing all code in a high-level programming language. The only significant reuse or software was the reuse of functions and objects in programming language libraries. Costs and schedule pressure mean that this approach became increasingly unviable, especially for commercial and Internet-based systems. An approach to development based around the reuse of existing software emerged and is now generally used for business and scientific software. 40 Chapter 7 Design and implementation
41. Reuse levels The abstraction level At this level, you don’t reuse software directly but use knowledge of successful abstractions in the design of your software. The object level At this level, you directly reuse objects from a library rather than writing the code yourself. The component level Components are collections of objects and object classes that you reuse in application systems. The system level At this level, you reuse entire application systems. 41 Chapter 7 Design and implementation
42. Reuse costs The costs of the time spent in looking for software to reuse and assessing whether or not it meets your needs. Where applicable, the costs of buying the reusable software. For large off-the-shelf systems, these costs can be very high. The costs of adapting and configuring the reusable software components or systems to reflect the requirements of the system that you are developing. The costs of integrating reusable software elements with each other (if you are using software from different sources) and with the new code that you have developed. 42 Chapter 7 Design and implementation
43. Configuration management Configuration management is the name given to the general process of managing a changing software system. The aim of configuration management is to support the system integration process so that all developers can access the project code and documents in a controlled way, find out what changes have been made, and compile and link components to create a system. See also Chapter 25. 43 Chapter 7 Design and implementation
44. Configuration management activities Version management, where support is provided to keep track of the different versions of software components. Version management systems include facilities to coordinate development by several programmers. System integration, where support is provided to help developers define what versions of components are used to create each version of a system. This description is then used to build a system automatically by compiling and linking the required components. Problem tracking, where support is provided to allow users to report bugs and other problems, and to allow all developers to see who is working on these problems and when they are fixed. 44 Chapter 7 Design and implementation
45. Host-target development Most software is developed on one computer (the host), but runs on a separate machine (the target). More generally, we can talk about a development platform and an execution platform. A platform is more than just hardware. It includes the installed operating system plus other supporting software such as a database management system or, for development platforms, an interactive development environment. Development platform usually has different installed software than execution platform; these platforms may have different architectures. 45 Chapter 7 Design and implementation
46. Development platform tools An integrated compiler and syntax-directed editing system that allows you to create, edit and compile code. A language debugging system. Graphical editing tools, such as tools to edit UML models. Testing tools, such as Junit that can automatically run a set of tests on a new version of a program. Project support tools that help you organize the code for different development projects. 46 Chapter 7 Design and implementation
47. Integrated development environments (IDEs) Software development tools are often grouped to create an integrated development environment (IDE). An IDE is a set of software tools that supports different aspects of software development, within some common framework and user interface. IDEs are created to support development in a specific programming language such as Java. The language IDE may be developed specially, or may be an instantiation of a general-purpose IDE, with specific language-support tools. 47 Chapter 7 Design and implementation
48. Component/system deployment factors If a component is designed for a specific hardware architecture, or relies on some other software system, it must obviously be deployed on a platform that provides the required hardware and software support. High availability systems may require components to be deployed on more than one platform. This means that, in the event of platform failure, an alternative implementation of the component is available. If there is a high level of communications traffic between components, it usually makes sense to deploy them on the same platform or on platforms that are physically close to one other. This reduces the delay between the time a message is sent by one component and received by another. 48 Chapter 7 Design and implementation
49. Open source development Open source development is an approach to software development in which the source code of a software system is published and volunteers are invited to participate in the development process Its roots are in the Free Software Foundation (www.fsf.org), which advocates that source code should not be proprietary but rather should always be available for users to examine and modify as they wish. Open source software extended this idea by using the Internet to recruit a much larger population of volunteer developers. Many of them are also users of the code. 49 Chapter 7 Design and implementation
50. Open source systems The best-known open source product is, of course, the Linux operating system which is widely used as a server system and, increasingly, as a desktop environment. Other important open source products are Java, the Apache web server and the mySQL database management system. 50 Chapter 7 Design and implementation
51. Open source issues Should the product that is being developed make use of open source components? Should an open source approach be used for the software’s development? 51 Chapter 7 Design and implementation
52. Open source business More and more product companies are using an open source approach to development. Their business model is not reliant on selling a software product but on selling support for that product. They believe that involving the open source community will allow software to be developed more cheaply, more quickly and will create a community of users for the software. 52 Chapter 7 Design and implementation
53. Open source licensing Afundamental principle of open-source development is that source code should be freely available, this does not mean that anyone can do as they wish with that code. Legally, the developer of the code (either a company or an individual) still owns the code. They can place restrictions on how it is used by including legally binding conditions in an open source software license. Some open source developers believe that if an open source component is used to develop a new system, then that system should also be open source. Others are willing to allow their code to be used without this restriction. The developed systems may be proprietary and sold as closed source systems. 53 Chapter 7 Design and implementation
54. License models The GNU General Public License (GPL). This is a so-called ‘reciprocal’ license that means that if you use open source software that is licensed under the GPL license, then you must make that software open source. The GNU Lesser General Public License (LGPL) is a variant of the GPL license where you can write components that link to open source code without having to publish the source of these components. The Berkley Standard Distribution (BSD) License. This is a non-reciprocal license, which means you are not obliged to re-publish any changes or modifications made to open source code. You can include the code in proprietary systems that are sold. 54 Chapter 7 Design and implementation
55. License management Establish a system for maintaining information about open-source components that are downloaded and used. Be aware of the different types of licenses and understand how a component is licensed before it is used. Be aware of evolution pathways for components. Educate people about open source. Have auditing systems in place. Participate in the open source community. 55 Chapter 7 Design and implementation
56. Key points When developing software, you should always consider the possibility of reusing existing software, either as components, services or complete systems. Configuration management is the process of managing changes to an evolving software system. It is essential when a team of people are cooperating to develop software. Most software development is host-target development. You use an IDE on a host machine to develop the software, which is transferred to a target machine for execution. Open source development involves making the source code of a system publicly available. This means that many people can propose changes and improvements to the software. 56 Chapter 7 Design and implementation