The document discusses key concepts in software design including the design process, design models, translating requirements to design, and quality attributes. It describes how design brings together requirements, business needs, and technical considerations to provide a blueprint for software construction. The design model includes data structures, architecture, interfaces, and components. Translating requirements involves creating class, architectural, interface, and component designs. Quality is assessed based on functionality, usability, reliability, performance, and other attributes.
The document discusses key concepts in software design, including:
- Design involves modeling the system architecture, interfaces, and components before implementation. This allows assessment and improvement of quality.
- Important design concepts span abstraction, architecture, patterns, separation of concerns, modularity, information hiding, and functional independence. Architecture defines overall structure and interactions. Patterns help solve common problems.
- Separation of concerns and related concepts like modularity and information hiding help decompose problems into independently designed and optimized pieces to improve manageability. Functional independence means each module has a single, well-defined purpose with minimal interaction.
The document discusses key concepts in software design including abstraction, modularity, information hiding, functional independence, and refactoring. It also covers design patterns, architectural patterns, data abstraction, procedural abstraction, architecture, and principles of good modular design.
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This document provides an introduction to software architecture design. It discusses key concepts like the relationship between requirements and architecture, architecture styles, quality attributes, and tradeoff analysis. The document is divided into multiple parts that cover topics such as an overview of software architecture, common architecture styles, quality attributes, and some rules of thumb for architecture design.
The design model transforms requirements from the analysis model into a blueprint for constructing the software. It includes four main elements: the data/class design, architectural design, interface design, and component-level design. These elements are developed iteratively through increasing levels of abstraction, starting with high-level elements that are traced to requirements and refining into lower-level representations. The design model aims to implement requirements while considering quality guidelines around modularity, patterns, and other design concepts.
The document discusses key design concepts in software engineering including abstraction, architecture, patterns, separation of concerns, modularity, information hiding, refinement, functional independence, aspects, refactoring, object-oriented design concepts, and design classes. It provides details on each concept, their importance in software design, and how they lead to the development of high-quality software.
The document discusses various aspects of design modeling for software engineering projects. It describes how the design model builds upon the analysis model by refining and adding more implementation details to elements like data design, architectural design, interface design, and component design. It also covers important design concepts like abstraction, architecture, patterns, modularity, information hiding, and functional independence. Quality guidelines for software design are provided along with principles of object-oriented design.
The document discusses key concepts in software design, including:
- Design involves modeling the system architecture, interfaces, and components before implementation. This allows assessment and improvement of quality.
- Important design concepts span abstraction, architecture, patterns, separation of concerns, modularity, information hiding, and functional independence. Architecture defines overall structure and interactions. Patterns help solve common problems.
- Separation of concerns and related concepts like modularity and information hiding help decompose problems into independently designed and optimized pieces to improve manageability. Functional independence means each module has a single, well-defined purpose with minimal interaction.
The document discusses key concepts in software design including abstraction, modularity, information hiding, functional independence, and refactoring. It also covers design patterns, architectural patterns, data abstraction, procedural abstraction, architecture, and principles of good modular design.
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This document provides an introduction to software architecture design. It discusses key concepts like the relationship between requirements and architecture, architecture styles, quality attributes, and tradeoff analysis. The document is divided into multiple parts that cover topics such as an overview of software architecture, common architecture styles, quality attributes, and some rules of thumb for architecture design.
The design model transforms requirements from the analysis model into a blueprint for constructing the software. It includes four main elements: the data/class design, architectural design, interface design, and component-level design. These elements are developed iteratively through increasing levels of abstraction, starting with high-level elements that are traced to requirements and refining into lower-level representations. The design model aims to implement requirements while considering quality guidelines around modularity, patterns, and other design concepts.
The document discusses key design concepts in software engineering including abstraction, architecture, patterns, separation of concerns, modularity, information hiding, refinement, functional independence, aspects, refactoring, object-oriented design concepts, and design classes. It provides details on each concept, their importance in software design, and how they lead to the development of high-quality software.
The document discusses various aspects of design modeling for software engineering projects. It describes how the design model builds upon the analysis model by refining and adding more implementation details to elements like data design, architectural design, interface design, and component design. It also covers important design concepts like abstraction, architecture, patterns, modularity, information hiding, and functional independence. Quality guidelines for software design are provided along with principles of object-oriented design.
The document discusses key concepts in design modeling for software engineering projects, including:
- Data/class design transforms analysis models into design class structures and data structures.
- Architectural design defines relationships between major software elements and how they interact.
- Interface, component, and other designs further refine elements from analysis into implementation-specific details.
- Design principles include traceability to analysis, avoiding reinventing solutions, and structuring for change and graceful degradation.
This document provides an overview of the software design process. It discusses that design is where creativity and technical considerations come together to model a product or system. Software engineers conduct design tasks to create a design model that provides architectural and implementation details needed to build the system. The design model is important because it can be assessed before development to improve quality. The design process involves modeling the architecture, interfaces, and components. The primary work product is a design model representing these views. Throughout the iterative design process, quality is evaluated against requirements and guidelines.
This document discusses key concepts in software design engineering including analysis models, design models, the programmer's approach versus best practices, purposes of design, quality guidelines, design principles, fundamental concepts like abstraction and architecture, and specific design concepts like patterns, modularity, and information hiding. It emphasizes that design is important for translating requirements into a quality software solution before implementation begins.
Software design is an iterative process that translates requirements into a blueprint for constructing software. It involves understanding the problem from different perspectives, identifying solutions, and describing solution abstractions using notations. The design must satisfy users and developers by being correct, complete, understandable, and maintainable. During the design process, specifications are transformed into design models describing data structures, architecture, interfaces, and components, which are reviewed before development.
Software engineering is a detailed study of engineering to the design, development and maintenance of software. Software engineering was introduced to address the issues of low-quality software projects.
Software Archtecture.
Software design is a process to transform user requirements into some suitable form, which helps the programmer in software coding and implementation.
Software design is the important step in SDLC (Software Design Life Cycle), which moves the concentration from problem domain to solution domain. It tries to specify how to fulfill the requirements mentioned in SRS.
Software design plays an important role in developing software: during software design, software engineers produce various models that form a kind of blueprint of the solution to be implemented
This document discusses various topics related to software design including design principles, concepts, modeling, and architecture. It provides examples of class/data design, architectural design, interface design, and component design. Some key points discussed include:
- Software design creates representations and models that provide details on architecture, data structures, interfaces, and components needed to implement the system.
- Design concepts like abstraction, modularity, encapsulation, and information hiding are important to reduce complexity and improve design.
- Different types of design models include data/class design, architectural design, interface design, and component-level design.
- Good software architecture and design lead to systems that are more understandable, maintainable, and of higher quality.
This document discusses software design principles and concepts. It begins by defining software design as translating requirements into a blueprint for constructing software. Key concepts discussed include:
1. Managing complexity through principles like uniformity, accommodating change, and minimizing coupling between modules.
2. Software architecture, which defines the overall structure and interactions between major system elements.
3. Common design techniques like abstraction, modularity, hierarchy, and separation of concerns that help manage complexity.
The document provides information on a course titled "Software Engineering" taught by Dr. P. Visu at Velammal Engineering College. It includes the course objectives, outcomes, syllabus, and learning resources. The objectives are to understand software project phases, requirements engineering, object-oriented concepts, enterprise integration, and testing techniques. The outcomes cover comparing process models, requirements engineering, object-oriented fundamentals, software design, and testing techniques. The syllabus covers topics like software processes, requirements analysis, object-oriented concepts, software design, testing, and project management over 5 units. Recommended textbooks and online references are also provided.
The document discusses key concepts in software design, including:
- Mitch Kapor's "software design manifesto" emphasized good design exhibiting firmness, commodity, and delight.
- Design encompasses principles, concepts, and practices that lead to high quality systems, including data/class design, architectural design, interface design, and component-level design.
- Quality guidelines for design include modularity, distinct representations of elements, appropriate data structures, independent components, and reduced complexity interfaces.
The document provides information on a course titled "Software Engineering" taught by Dr. P. Visu at Velammal Engineering College. It includes the course objectives, outcomes, syllabus, and learning resources. The objectives are to understand software project phases, requirements engineering, object-oriented concepts, enterprise integration, and testing techniques. The outcomes cover comparing process models, formulating requirements engineering concepts, understanding object-oriented fundamentals, applying software design procedures, and finding errors with testing techniques. The syllabus covers topics like software processes, requirements analysis, object-oriented concepts, software design, and testing and management over 5 units. Recommended textbooks and online references are also provided.
The document discusses the differences between analysis modeling and design engineering/modeling. Analysis involves understanding a problem, while design focuses on creating a solution. Models can be used to better understand problems in analysis or solutions in design. The key aspects of design engineering are then outlined, including translating requirements into a software blueprint, iterating on the design, and ensuring quality through guidelines such as modularity, information hiding, and functional independence. Common design concepts like abstraction, architecture, patterns, and classes are also explained.
This document discusses software design principles and activities. It notes that requirements analysis should minimize design assumptions while ensuring consistency with technology. Analysis and design are interwoven. Design models refine analysis models with more implementation details. Design engineering starts with data/class design and includes architectural, interface, and component level design. The design must implement requirements and accommodate implicit needs while being understandable. A good design exhibits recognizable architecture and patterns, modularity, and distinct data, architecture, interface and component representations.
The document discusses various aspects of software design including:
1. The differences between design and programming and the role of a design engineer.
2. The iterative software design process of translating requirements into a blueprint for building software.
3. Key attributes like functionality, efficiency, flexibility, and usability that software design should address.
4. Fundamental software design concepts such as abstraction, architecture, modularity, and information hiding.
The document discusses key concepts in software design engineering including:
- Design should implement requirements from analysis and be understandable.
- Qualities like modularity, appropriate data structures, and independent components improve design.
- Fundamental concepts like abstraction, architecture, patterns, and modularity compartmentalize a design.
- Design principles guide creating a design that is traceable, reusable, and accommodates change.
The document discusses key concepts in software design engineering including:
- Design should implement requirements from analysis and be understandable.
- Qualities like modularity, appropriate data structures, and independent components improve design.
- Fundamental concepts like abstraction, architecture, patterns, and modularity compartmentalize a design.
- Design principles guide creating a design that is traceable, reusable, and accommodates change.
This document provides an introduction to software architecture. It discusses what software architecture is, popular architecture styles, quality attributes of a system, and architecture design guidelines. The key points are:
- Software architecture is the high-level design of a system that guides its construction and development. It defines the relationship between major structural elements.
- Popular architecture styles include layered, pipes and filters, and event-based. Each style has advantages and disadvantages for certain quality attributes.
- Quality attributes include implementation attributes like maintainability, runtime attributes like performance and availability, and business attributes like time to market. There are often tradeoffs between attributes.
- Architecture design guidelines include thinking about requirements before design, using abstraction, considering non-
This document provides an overview of key design concepts in software engineering, including abstraction, architecture, patterns, and others. It discusses how software design has evolved over decades to incorporate these concepts. Abstraction involves representing solutions at different levels of detail. Architecture defines the overall structure of a software system. Patterns describe proven solutions to common problems. The document also discusses quality guidelines for software design and how the design process fits within the broader context of software engineering.
The document discusses key concepts in design modeling for software engineering projects, including:
- Data/class design transforms analysis models into design class structures and data structures.
- Architectural design defines relationships between major software elements and how they interact.
- Interface, component, and other designs further refine elements from analysis into implementation-specific details.
- Design principles include traceability to analysis, avoiding reinventing solutions, and structuring for change and graceful degradation.
This document provides an overview of the software design process. It discusses that design is where creativity and technical considerations come together to model a product or system. Software engineers conduct design tasks to create a design model that provides architectural and implementation details needed to build the system. The design model is important because it can be assessed before development to improve quality. The design process involves modeling the architecture, interfaces, and components. The primary work product is a design model representing these views. Throughout the iterative design process, quality is evaluated against requirements and guidelines.
This document discusses key concepts in software design engineering including analysis models, design models, the programmer's approach versus best practices, purposes of design, quality guidelines, design principles, fundamental concepts like abstraction and architecture, and specific design concepts like patterns, modularity, and information hiding. It emphasizes that design is important for translating requirements into a quality software solution before implementation begins.
Software design is an iterative process that translates requirements into a blueprint for constructing software. It involves understanding the problem from different perspectives, identifying solutions, and describing solution abstractions using notations. The design must satisfy users and developers by being correct, complete, understandable, and maintainable. During the design process, specifications are transformed into design models describing data structures, architecture, interfaces, and components, which are reviewed before development.
Software engineering is a detailed study of engineering to the design, development and maintenance of software. Software engineering was introduced to address the issues of low-quality software projects.
Software Archtecture.
Software design is a process to transform user requirements into some suitable form, which helps the programmer in software coding and implementation.
Software design is the important step in SDLC (Software Design Life Cycle), which moves the concentration from problem domain to solution domain. It tries to specify how to fulfill the requirements mentioned in SRS.
Software design plays an important role in developing software: during software design, software engineers produce various models that form a kind of blueprint of the solution to be implemented
This document discusses various topics related to software design including design principles, concepts, modeling, and architecture. It provides examples of class/data design, architectural design, interface design, and component design. Some key points discussed include:
- Software design creates representations and models that provide details on architecture, data structures, interfaces, and components needed to implement the system.
- Design concepts like abstraction, modularity, encapsulation, and information hiding are important to reduce complexity and improve design.
- Different types of design models include data/class design, architectural design, interface design, and component-level design.
- Good software architecture and design lead to systems that are more understandable, maintainable, and of higher quality.
This document discusses software design principles and concepts. It begins by defining software design as translating requirements into a blueprint for constructing software. Key concepts discussed include:
1. Managing complexity through principles like uniformity, accommodating change, and minimizing coupling between modules.
2. Software architecture, which defines the overall structure and interactions between major system elements.
3. Common design techniques like abstraction, modularity, hierarchy, and separation of concerns that help manage complexity.
The document provides information on a course titled "Software Engineering" taught by Dr. P. Visu at Velammal Engineering College. It includes the course objectives, outcomes, syllabus, and learning resources. The objectives are to understand software project phases, requirements engineering, object-oriented concepts, enterprise integration, and testing techniques. The outcomes cover comparing process models, requirements engineering, object-oriented fundamentals, software design, and testing techniques. The syllabus covers topics like software processes, requirements analysis, object-oriented concepts, software design, testing, and project management over 5 units. Recommended textbooks and online references are also provided.
The document discusses key concepts in software design, including:
- Mitch Kapor's "software design manifesto" emphasized good design exhibiting firmness, commodity, and delight.
- Design encompasses principles, concepts, and practices that lead to high quality systems, including data/class design, architectural design, interface design, and component-level design.
- Quality guidelines for design include modularity, distinct representations of elements, appropriate data structures, independent components, and reduced complexity interfaces.
The document provides information on a course titled "Software Engineering" taught by Dr. P. Visu at Velammal Engineering College. It includes the course objectives, outcomes, syllabus, and learning resources. The objectives are to understand software project phases, requirements engineering, object-oriented concepts, enterprise integration, and testing techniques. The outcomes cover comparing process models, formulating requirements engineering concepts, understanding object-oriented fundamentals, applying software design procedures, and finding errors with testing techniques. The syllabus covers topics like software processes, requirements analysis, object-oriented concepts, software design, and testing and management over 5 units. Recommended textbooks and online references are also provided.
The document discusses the differences between analysis modeling and design engineering/modeling. Analysis involves understanding a problem, while design focuses on creating a solution. Models can be used to better understand problems in analysis or solutions in design. The key aspects of design engineering are then outlined, including translating requirements into a software blueprint, iterating on the design, and ensuring quality through guidelines such as modularity, information hiding, and functional independence. Common design concepts like abstraction, architecture, patterns, and classes are also explained.
This document discusses software design principles and activities. It notes that requirements analysis should minimize design assumptions while ensuring consistency with technology. Analysis and design are interwoven. Design models refine analysis models with more implementation details. Design engineering starts with data/class design and includes architectural, interface, and component level design. The design must implement requirements and accommodate implicit needs while being understandable. A good design exhibits recognizable architecture and patterns, modularity, and distinct data, architecture, interface and component representations.
The document discusses various aspects of software design including:
1. The differences between design and programming and the role of a design engineer.
2. The iterative software design process of translating requirements into a blueprint for building software.
3. Key attributes like functionality, efficiency, flexibility, and usability that software design should address.
4. Fundamental software design concepts such as abstraction, architecture, modularity, and information hiding.
The document discusses key concepts in software design engineering including:
- Design should implement requirements from analysis and be understandable.
- Qualities like modularity, appropriate data structures, and independent components improve design.
- Fundamental concepts like abstraction, architecture, patterns, and modularity compartmentalize a design.
- Design principles guide creating a design that is traceable, reusable, and accommodates change.
The document discusses key concepts in software design engineering including:
- Design should implement requirements from analysis and be understandable.
- Qualities like modularity, appropriate data structures, and independent components improve design.
- Fundamental concepts like abstraction, architecture, patterns, and modularity compartmentalize a design.
- Design principles guide creating a design that is traceable, reusable, and accommodates change.
This document provides an introduction to software architecture. It discusses what software architecture is, popular architecture styles, quality attributes of a system, and architecture design guidelines. The key points are:
- Software architecture is the high-level design of a system that guides its construction and development. It defines the relationship between major structural elements.
- Popular architecture styles include layered, pipes and filters, and event-based. Each style has advantages and disadvantages for certain quality attributes.
- Quality attributes include implementation attributes like maintainability, runtime attributes like performance and availability, and business attributes like time to market. There are often tradeoffs between attributes.
- Architecture design guidelines include thinking about requirements before design, using abstraction, considering non-
This document provides an overview of key design concepts in software engineering, including abstraction, architecture, patterns, and others. It discusses how software design has evolved over decades to incorporate these concepts. Abstraction involves representing solutions at different levels of detail. Architecture defines the overall structure of a software system. Patterns describe proven solutions to common problems. The document also discusses quality guidelines for software design and how the design process fits within the broader context of software engineering.
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Rail transport is one of the important modes of transport in India. Now a days we
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1. Module:3
Modeling (Design) Design within the context
of Software Engineering, Design Process,
Design Concepts, Design Model Software
Architecture.
5 hours
2. 2
Purpose of Design
• Design is where customer requirements, business needs, and
technical considerations all come together in the formulation of a
product or system
• The design model provides detail about the software data
structures, architecture, interfaces, and components
• The design model can be assessed for quality and be improved
before code is generated and tests are conducted
3. 3
Purpose of Design (continued)
• A designer must practice diversification and convergence
• Software design is an iterative process through which requirements are
translated into a blueprint for constructing the software
4. 4
From Analysis Model to
Design Model
• Each element of the analysis model provides information that is
necessary to create the four design models
– The data/class design transforms analysis classes into design classes along
with the data structures required to implement the software
– The architectural design defines the relationship between major structural
elements of the software; architectural styles and design patterns help
achieve the requirements defined for the system
– The interface design describes how the software communicates with
systems that interoperate with it and with humans that use it
– The component-level design transforms structural elements of the
software architecture into a procedural description of software
components
(More on next slide)
5. 5
From Analysis Model to
Design Model (continued)
Data/Class Design
(Class-based model, Behavioral model)
Architectural Design
(Class-based model, Flow-oriented model)
Interface Design
(Scenario-based model, Flow-oriented model
Behavioral model)
Component-level Design
(Class-based model, Flow-oriented model
Behavioral model)
7. Translating the requirements model into the design
model
The requirements model, manifested by scenario-
based, class-based, flow-oriented, and behavioral
elements, feed the design task.
design produces a data/class design, an architectural
design, an interface design, and a component design
8. Translating the requirements
model into the design mode
The data/class design transforms class models into design
class realizations and the requisite data structures required to
implement the software.
The objects and relationships defined in the CRC diagram and
the detailed data content depicted by class attributes and other
notation provide the basis for the data design action.
Part of class design may occur in conjunction with the design
of software architecture. More detailed class design occurs as
each software component is designed.
9. Translating the requirements
model into the design mode
The architectural design defines the relationship between
major structural elements of the software, the
architectural styles and design patterns that can be used
to achieve the requirements defined for the system, and
the constraints that affect the way in which architecture
can be implemented [Sha96]. The architectural design
representation—the framework of a computer-based
system—is derived from the requirements model
10. Translating the requirements
model into the design mode
The interface design describes how the software
communicates with systems that interoperate with it, and with
humans who use it.
An interface implies a flow of information (e.g., data and/or
control) and a specific type of behavior. Therefore, usage
scenarios and behavioral models provide much of the
information required for interface design. The component-
level design transforms structural elements of the software
architecture into a procedural description of software
components. Information obtained from the class-based
models, flow models, and behavioral models serve as the
basis for component design
11. Software Quality Guidelines and Attributes
McGlaughlin suggests three characteristics that serve as a guide for the
evaluation of a good design:
• The design must implement all of the explicit
requirements contained in the requirements model, and
it must accommodate all of the implicit requirements
desired by stakeholders.
• The design must be a readable, understandable guide for
those who generate code and for those who test and
subsequently support the software.
• The design should provide a complete picture of the
software, addressing the data, functional, and behavioral
domains from an implementation perspective.
12. Quality guidelines
A design should exhibit an architecture that (1) has been created using
recognizable architectural styles or patterns, (2) is composed of
components that exhibit good design characteristics. and (3) can be
implemented in an evolutionary fashion,2 thereby facilitating
implementation and testing.
2. A design should be modular; that is, the software should be logically
partitioned into elements or subsystems.
3. A design should contain distinct representations of data, architecture,
interfaces, and components
13. Quality guidelines
4. A design should lead to data structures that are appropriate for the
classes to be implemented and are drawn from recognizable data
patterns.
5. A design should lead to components that exhibit independent
functional characteristics.
6. A design should lead to interfaces that reduce the complexity of
connections between components and with the external environment.
14. Quality guidelines
7. A design should be derived using a repeatable method
that is driven by information obtained during software
requirements analysis.
8. A design should be represented using a notation that
effectively communicates its meaning.
16. Quality attributes
Functionality is assessed by evaluating the feature set and
capabilities of the program, the generality of the functions
that are delivered, and the security of the overall system
Usability is assessed by considering human factors overall
aesthetics, consistency, and documentation.
Reliability is evaluated by measuring the frequency and
severity of failure, the accuracy of output results, the mean-
time-to-failure (MTTF), the ability to recover from failure,
and the predictability of the program.
17. Performance is measured by considering processing
speed, response time, resource consumption,
throughput, and efficiency.
• Supportability combines the ability to extend the
program (extensibility), adaptability, serviceability—
these three attributes represent a more common term,
maintainability
18. The Evolution of Software Design:
• The evolution of software design is a continuing
process that has now spanned almost six
decades.
• All these methods have a number of common
characteristics:
1. A mechanism for the translation of the
requirements model into a design representation,
2. A notation for representing functional
components and their interfaces,
3. Heuristics for refinement and partitioning, and
4. Guidelines for quality assessment
19. 19
Design Concepts
Abstraction
• At the highest level of abstraction, a solution is stated in broad
terms using the language of the problem environment.
• At lower levels of abstraction, a more detailed description of
the solution is provided.
– Procedural abstraction – a sequence of instructions that have
a specific and limited function
– Data abstraction – a named collection of data that describes
a data object
20. Data Abstraction
door
implemented as a data structure
manufacturer
model number
type
swing direction
inserts
lights
type
number
weight
opening mechanism
21. Procedural Abstraction
open
details of enter
algorithm
Open implies a long sequence of
procedural steps (e.g., walk to the door,
reach out and grasp knob, turn knob and
pull door, step away from moving door
22. Architecture
architecture is the structure or organization of
program components (modules), the manner
in which these components interact, and the
structure of data that are used by the
components
23. Shaw and Garlan [Sha95a] describe a set of
properties that should be specified as part of
an architectural design:
Structural properties. This aspect of the architectural design
representation defines the components of a system (e.g.,
modules, objects, filters) and the manner in which those
components are packaged and interact with one another.
Extra-functional properties. The architectural design
description should address how the design architecture
achieves requirements for performance, capacity, reliability,
security, adaptability, and other system characteristics.
24. Architecture
• Structural models represent architecture as
an organized collection of program
components.
• Framework models increase the level of
design abstraction by attempting to identify
repeatable architectural design frameworks
that are encountered in similar types of
application
25. Architecture:
• Dynamic models address the behavioral aspects of
the program architecture, indicating how the structure or
system configuration may change as a function of external
events
• Procedural models focus on the design of the
business or technical process that the system must
accommodate.
27. Pattern
Design pattern describes a design structure that solves a
particular design problem within a specific context.
– Each design pattern is to provide a description that enables
a designer to determine
• Whether the pattern is applicable to the current work
• Whether the pattern can be reused
• Whether the pattern can serve as a guide for developing a
similar, but functionally or structurally different pattern
28. Separation of Concerns
Separation of concerns is a design concept that suggests that
any complex problem can be more easily handled if it is
subdivided into pieces that can each be solved and/or
optimized independently.
A concern is a feature or behavior that is specified as part of
the requirements model for the software.
• By separating concerns into smaller, and therefore more
manageable pieces, a problem takes less effort and time to
solve.
29. Separation of Concerns
For two problems, p1 and p2, if the perceived complexity of
p1 is greater than the perceived complexity of p2, it follows
that the effort required to solve p1 is greater than the effort
required to solve p2.
It also follows that the perceived complexity of two problems
when they are combined is often greater than the sum of the
perceived complexity when each is taken separately.
This leads to a divide-and-conquer strategy—it’s easier to
solve a complex problem when you break it into manageable
pieces.
30. Modularity
Software is divided into separately named and
addressable components, sometimes called
modules, that are integrated to satisfy problem
requirements.
Monolithic software (i.e., a large program
composed of a single module) cannot be
easily grasped by a software engineer. The
number of control paths, span of reference,
number of variables, and overall complexity
would make understanding close to
impossible