The iterative model breaks a project into small modules that can be delivered incrementally. A working version is produced in the first module, with each subsequent release adding additional functionality until the full system is complete. It allows for quick releases during development and makes it easier to develop and test in smaller iterations while incorporating customer feedback at each stage. However, it requires more resources than traditional models and skilled management to avoid increased costs over time.
The waterfall model is a sequential model for software development where progress flows in one direction like a waterfall from conception to maintenance. It involves 8 phases: definition, design, implementation, testing, integration, deployment, maintenance and support. While it provides structure and is good for stable requirements, it is difficult to change requirements or go back to previous phases and does not allow for much iteration. The waterfall model works best for projects with clearly defined requirements and stable scope, but may not be suitable if requirements are likely to change.
The iterative model of the software development lifecycle involves developing software in cycles. Each cycle creates a new version of the software by specifying, implementing, and reviewing a part of the requirements. This allows development to begin before all requirements are known and lets the software evolve through feedback. Benefits include early detection of defects, reliable user feedback, and more time spent designing. Limitations are that each phase is rigid and costly architecture issues may arise from a lack of upfront requirements gathering. The iterative model is best for projects with clearly defined but evolving requirements or large projects where some details can change over time.
The document discusses key concepts in software engineering. It defines software engineering as applying systematic and technical approaches to develop reliable and efficient computer software. It describes various software development models including waterfall, prototyping, RAD, spiral and evolutionary models. It also discusses software engineering layers, characteristics, applications, and process models. Finally, it covers concepts like fourth generation techniques, software project management, estimation techniques, and risk management.
The document defines the software development life cycle (SDLC) and its phases. It discusses several SDLC models including waterfall, prototype, iterative enhancement, and spiral. The waterfall model follows sequential phases from requirements to maintenance with no overlap. The prototype model involves building prototypes for user feedback. The iterative enhancement model develops software incrementally. The spiral model is divided into risk analysis, engineering, construction, and evaluation cycles. The document also covers software requirements, elicitation through interviews and use cases, analysis through data, behavioral and functional modeling, and documentation in a software requirements specification.
The document discusses the main phases and models of the software development life cycle (SDLC). It describes common SDLC models like waterfall, spiral, and agile. The waterfall model involves sequential phases from requirements to maintenance. The spiral model is iterative with risk assessment. Agile emphasizes iterative development, collaboration, and responding to change. Testing methodologies like black box and white box testing are also summarized along with levels of testing from unit to system.
Evolutionary models are iterative and incremental software development approaches that combine iterative and incremental processes. There are two main types: prototyping and spiral models. The prototyping model develops prototypes that are tested and refined based on customer feedback until requirements are met, while the spiral model proceeds through multiple loops or phases of planning, risk analysis, engineering, and evaluation. Both approaches allow requirements to evolve through development and support risk handling.
The iterative model breaks a project into small modules that can be delivered incrementally. A working version is produced in the first module, with each subsequent release adding additional functionality until the full system is complete. It allows for quick releases during development and makes it easier to develop and test in smaller iterations while incorporating customer feedback at each stage. However, it requires more resources than traditional models and skilled management to avoid increased costs over time.
The waterfall model is a sequential model for software development where progress flows in one direction like a waterfall from conception to maintenance. It involves 8 phases: definition, design, implementation, testing, integration, deployment, maintenance and support. While it provides structure and is good for stable requirements, it is difficult to change requirements or go back to previous phases and does not allow for much iteration. The waterfall model works best for projects with clearly defined requirements and stable scope, but may not be suitable if requirements are likely to change.
The iterative model of the software development lifecycle involves developing software in cycles. Each cycle creates a new version of the software by specifying, implementing, and reviewing a part of the requirements. This allows development to begin before all requirements are known and lets the software evolve through feedback. Benefits include early detection of defects, reliable user feedback, and more time spent designing. Limitations are that each phase is rigid and costly architecture issues may arise from a lack of upfront requirements gathering. The iterative model is best for projects with clearly defined but evolving requirements or large projects where some details can change over time.
The document discusses key concepts in software engineering. It defines software engineering as applying systematic and technical approaches to develop reliable and efficient computer software. It describes various software development models including waterfall, prototyping, RAD, spiral and evolutionary models. It also discusses software engineering layers, characteristics, applications, and process models. Finally, it covers concepts like fourth generation techniques, software project management, estimation techniques, and risk management.
The document defines the software development life cycle (SDLC) and its phases. It discusses several SDLC models including waterfall, prototype, iterative enhancement, and spiral. The waterfall model follows sequential phases from requirements to maintenance with no overlap. The prototype model involves building prototypes for user feedback. The iterative enhancement model develops software incrementally. The spiral model is divided into risk analysis, engineering, construction, and evaluation cycles. The document also covers software requirements, elicitation through interviews and use cases, analysis through data, behavioral and functional modeling, and documentation in a software requirements specification.
The document discusses the main phases and models of the software development life cycle (SDLC). It describes common SDLC models like waterfall, spiral, and agile. The waterfall model involves sequential phases from requirements to maintenance. The spiral model is iterative with risk assessment. Agile emphasizes iterative development, collaboration, and responding to change. Testing methodologies like black box and white box testing are also summarized along with levels of testing from unit to system.
Evolutionary models are iterative and incremental software development approaches that combine iterative and incremental processes. There are two main types: prototyping and spiral models. The prototyping model develops prototypes that are tested and refined based on customer feedback until requirements are met, while the spiral model proceeds through multiple loops or phases of planning, risk analysis, engineering, and evaluation. Both approaches allow requirements to evolve through development and support risk handling.
This document discusses different process models used in software development. It describes the key phases and characteristics of several common process models including waterfall, prototyping, V-model, incremental, iterative, spiral and agile development models. The waterfall model involves sequential phases from requirements to maintenance without iteration. Prototyping allows for user feedback earlier. The V-model adds verification and validation phases. Incremental and iterative models divide the work into smaller chunks to allow for iteration and user feedback throughout development.
The COCOMO model is a widely used software cost estimation model developed by Barry Boehm in 1981. It predicts effort, schedule, and staffing needs based on project size and characteristics. The Basic COCOMO model uses three development modes (Organic, Semidetached, Embedded) and a simple formula to estimate effort and schedule based on thousands of delivered source instructions. However, its accuracy is limited as it does not account for various project attributes known to influence costs. Function Point Analysis is an alternative size measurement that counts different types of system functions and complexity factors to estimate effort and cost.
The document describes the waterfall model of software development. It consists of 5 sequential phases: 1) Requirement gathering and analysis, 2) Design, 3) Coding, 4) Testing, and 5) Maintenance. Each phase must be completed before moving to the next. The waterfall model provides structure, clear milestones, and is good for management control, but it does not allow for flexibility or iteration between phases. It is best used for projects with stable requirements that can be clearly defined upfront.
The document describes the waterfall model of software development. It begins by listing the presenters and defining sequential and incremental software development models. It then discusses the waterfall model in more detail, describing it as a linear sequential process where each phase must be completed before the next begins. The document outlines the history, use cases, diagram, phases and advantages/disadvantages of the waterfall model.
The document discusses the waterfall model, which is a sequential software development process where progress flows steadily from one phase to the next - conception, initiation, analysis, design, construction, testing, production/implementation, and maintenance. The key phases and deliverables are completed one at a time before moving to the next phase. The waterfall model is simple and easy to understand, manage, and works well for smaller projects with well-defined requirements. However, it is inflexible and carries high risks since changes are difficult once a later phase has begun and no working software is produced until late in the lifecycle. The model is not suitable for complex, long-term, or ambiguous projects where requirements may change.
What is Software project management?? , What is a Project?, What is a Product?, What is Project Management?, What is Software Project Life Cycle?, What is a Product Life Cycle?, Software Project, Software Triple Constraints, Software Project Manager, Project Planning,
This document discusses software process models. It defines a software process as a framework for activities required to build high-quality software. A process model describes the phases in a product's lifetime from initial idea to final use. The document then describes a generic process model with five framework activities - communication, planning, modeling, construction, and deployment. It provides an example of identifying task sets for different sized projects. Finally, it discusses the waterfall process model as the first published model, outlining its sequential phases and problems with being rarely linear and requiring all requirements up front.
The document discusses the waterfall model of software development. It describes the waterfall model as a linear sequential approach where progress flows from one phase to the next like a waterfall. The key phases are requirement analysis, design, development, testing, deployment, and maintenance. Each phase has distinct requirements and activities. The waterfall model works well for smaller, well-defined projects but has disadvantages for complex projects where requirements may change.
The document discusses software estimation and project planning. It covers estimating project cost and effort through decomposition techniques and empirical estimation models. Specifically, it discusses:
1) Decomposition techniques involve breaking down a project into functions and tasks to estimate individually, such as estimating lines of code or function points for each piece.
2) Empirical estimation models use historical data from past projects to generate estimates.
3) Key factors that affect estimation accuracy include properly estimating product size, translating size to effort/time/cost, and accounting for team abilities and requirements stability.
The document discusses various aspects of the software process including software process models, generic process models like waterfall model and evolutionary development, process iteration, and system requirements specification. It provides details on each topic with definitions, characteristics, advantages and diagrams. The key steps in software process are specified as software specifications, design and implementation, validation, and evolution. Generic process models and specific models like waterfall, evolutionary development, and incremental delivery are explained.
A waterfall model is a sequential design process, used in software development processes, in which progress is seen as flowing steadily downwards( like a waterfall) through the phrases of Conception, Initiation, Analysis, Design, Construction, Testing, Production/Implementation, and Maintenance.
The waterfall development model originates in the manufacturing and construction industries which are highly structured physical environments in which after-the-fact changes are prohibitively costly, if not impossible. Since no formal software development methodologies existed at the time, this hardware-oriented model was simply adapted for software development.
The document outlines the software testing life cycle (STLC) which is a systematic and planned process for testing software. The STLC includes requirement analysis to define what will be tested, test planning to identify activities, resources and schedules, test case development to detail test cases and data, test execution to run test cases and log results, and test cycle closure to generate reports and complete testing.
The document discusses various software development life cycle (SDLC) models including waterfall, prototyping, spiral, RAD and V-model. It provides advantages and disadvantages of each model. In conclusion, the RAD model is identified as the best model to implement for a software project since it emphasizes delivering projects in smaller pieces to encourage user involvement and provide greater flexibility.
Black box testing refers to testing software without knowledge of its internal implementation by focusing on inputs and outputs. There are several techniques including boundary value analysis, equivalence partitioning, state transition testing, and graph-based testing. Black box testing is useful for testing functionality, behavior, and non-functional aspects from the end user's perspective.
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.
The document discusses different structures for programming teams:
- Democratic structure where all members participate in decisions and leadership rotates.
- Chief programmer structure with one lead programmer who designs work and manages others.
- Hierarchical structure that combines aspects of the democratic and chief programmer models with levels like project leader, senior programmers, and junior programmers.
The structures vary in things like communication paths, decision making, and suitability for different types and sizes of projects.
The document describes the Spiral Model software development methodology. It discusses the history, phases, graphical representation, pros and cons, comparisons to other models like Waterfall and Agile, applications, and provides an example of how Microsoft used it to develop Windows operating systems. The Spiral Model is an iterative approach that involves planning, risk analysis, engineering, and evaluation phases within each loop or spiral. It is suited for large, expensive, complex projects and allows for risk identification and mitigation at each stage of development.
The document presents information on the Software Development Life Cycle (SDLC), including:
1) It describes the seven main phases of the SDLC - planning, analysis, design, development, testing, implementation, and maintenance.
2) It discusses several SDLC models like waterfall, iterative, prototyping, spiral and V-model and compares their strengths and weaknesses.
3) It emphasizes the important role of testing in the SDLC and describes different testing types done during the phases.
The document discusses the software development life cycle (SDLC), outlining its key phases: problem definition, program design, coding, debugging, testing, documentation, maintenance, and extension/redesign. It also covers different SDLC models like waterfall and agile, noting strengths like structure but weaknesses like lack of iteration. The conclusion reinforces that the SDLC aims to develop high-quality, on-time and on-budget systems that are inexpensive to maintain.
This document discusses different process models used in software development. It describes the key phases and characteristics of several common process models including waterfall, prototyping, V-model, incremental, iterative, spiral and agile development models. The waterfall model involves sequential phases from requirements to maintenance without iteration. Prototyping allows for user feedback earlier. The V-model adds verification and validation phases. Incremental and iterative models divide the work into smaller chunks to allow for iteration and user feedback throughout development.
The COCOMO model is a widely used software cost estimation model developed by Barry Boehm in 1981. It predicts effort, schedule, and staffing needs based on project size and characteristics. The Basic COCOMO model uses three development modes (Organic, Semidetached, Embedded) and a simple formula to estimate effort and schedule based on thousands of delivered source instructions. However, its accuracy is limited as it does not account for various project attributes known to influence costs. Function Point Analysis is an alternative size measurement that counts different types of system functions and complexity factors to estimate effort and cost.
The document describes the waterfall model of software development. It consists of 5 sequential phases: 1) Requirement gathering and analysis, 2) Design, 3) Coding, 4) Testing, and 5) Maintenance. Each phase must be completed before moving to the next. The waterfall model provides structure, clear milestones, and is good for management control, but it does not allow for flexibility or iteration between phases. It is best used for projects with stable requirements that can be clearly defined upfront.
The document describes the waterfall model of software development. It begins by listing the presenters and defining sequential and incremental software development models. It then discusses the waterfall model in more detail, describing it as a linear sequential process where each phase must be completed before the next begins. The document outlines the history, use cases, diagram, phases and advantages/disadvantages of the waterfall model.
The document discusses the waterfall model, which is a sequential software development process where progress flows steadily from one phase to the next - conception, initiation, analysis, design, construction, testing, production/implementation, and maintenance. The key phases and deliverables are completed one at a time before moving to the next phase. The waterfall model is simple and easy to understand, manage, and works well for smaller projects with well-defined requirements. However, it is inflexible and carries high risks since changes are difficult once a later phase has begun and no working software is produced until late in the lifecycle. The model is not suitable for complex, long-term, or ambiguous projects where requirements may change.
What is Software project management?? , What is a Project?, What is a Product?, What is Project Management?, What is Software Project Life Cycle?, What is a Product Life Cycle?, Software Project, Software Triple Constraints, Software Project Manager, Project Planning,
This document discusses software process models. It defines a software process as a framework for activities required to build high-quality software. A process model describes the phases in a product's lifetime from initial idea to final use. The document then describes a generic process model with five framework activities - communication, planning, modeling, construction, and deployment. It provides an example of identifying task sets for different sized projects. Finally, it discusses the waterfall process model as the first published model, outlining its sequential phases and problems with being rarely linear and requiring all requirements up front.
The document discusses the waterfall model of software development. It describes the waterfall model as a linear sequential approach where progress flows from one phase to the next like a waterfall. The key phases are requirement analysis, design, development, testing, deployment, and maintenance. Each phase has distinct requirements and activities. The waterfall model works well for smaller, well-defined projects but has disadvantages for complex projects where requirements may change.
The document discusses software estimation and project planning. It covers estimating project cost and effort through decomposition techniques and empirical estimation models. Specifically, it discusses:
1) Decomposition techniques involve breaking down a project into functions and tasks to estimate individually, such as estimating lines of code or function points for each piece.
2) Empirical estimation models use historical data from past projects to generate estimates.
3) Key factors that affect estimation accuracy include properly estimating product size, translating size to effort/time/cost, and accounting for team abilities and requirements stability.
The document discusses various aspects of the software process including software process models, generic process models like waterfall model and evolutionary development, process iteration, and system requirements specification. It provides details on each topic with definitions, characteristics, advantages and diagrams. The key steps in software process are specified as software specifications, design and implementation, validation, and evolution. Generic process models and specific models like waterfall, evolutionary development, and incremental delivery are explained.
A waterfall model is a sequential design process, used in software development processes, in which progress is seen as flowing steadily downwards( like a waterfall) through the phrases of Conception, Initiation, Analysis, Design, Construction, Testing, Production/Implementation, and Maintenance.
The waterfall development model originates in the manufacturing and construction industries which are highly structured physical environments in which after-the-fact changes are prohibitively costly, if not impossible. Since no formal software development methodologies existed at the time, this hardware-oriented model was simply adapted for software development.
The document outlines the software testing life cycle (STLC) which is a systematic and planned process for testing software. The STLC includes requirement analysis to define what will be tested, test planning to identify activities, resources and schedules, test case development to detail test cases and data, test execution to run test cases and log results, and test cycle closure to generate reports and complete testing.
The document discusses various software development life cycle (SDLC) models including waterfall, prototyping, spiral, RAD and V-model. It provides advantages and disadvantages of each model. In conclusion, the RAD model is identified as the best model to implement for a software project since it emphasizes delivering projects in smaller pieces to encourage user involvement and provide greater flexibility.
Black box testing refers to testing software without knowledge of its internal implementation by focusing on inputs and outputs. There are several techniques including boundary value analysis, equivalence partitioning, state transition testing, and graph-based testing. Black box testing is useful for testing functionality, behavior, and non-functional aspects from the end user's perspective.
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.
The document discusses different structures for programming teams:
- Democratic structure where all members participate in decisions and leadership rotates.
- Chief programmer structure with one lead programmer who designs work and manages others.
- Hierarchical structure that combines aspects of the democratic and chief programmer models with levels like project leader, senior programmers, and junior programmers.
The structures vary in things like communication paths, decision making, and suitability for different types and sizes of projects.
The document describes the Spiral Model software development methodology. It discusses the history, phases, graphical representation, pros and cons, comparisons to other models like Waterfall and Agile, applications, and provides an example of how Microsoft used it to develop Windows operating systems. The Spiral Model is an iterative approach that involves planning, risk analysis, engineering, and evaluation phases within each loop or spiral. It is suited for large, expensive, complex projects and allows for risk identification and mitigation at each stage of development.
The document presents information on the Software Development Life Cycle (SDLC), including:
1) It describes the seven main phases of the SDLC - planning, analysis, design, development, testing, implementation, and maintenance.
2) It discusses several SDLC models like waterfall, iterative, prototyping, spiral and V-model and compares their strengths and weaknesses.
3) It emphasizes the important role of testing in the SDLC and describes different testing types done during the phases.
The document discusses the software development life cycle (SDLC), outlining its key phases: problem definition, program design, coding, debugging, testing, documentation, maintenance, and extension/redesign. It also covers different SDLC models like waterfall and agile, noting strengths like structure but weaknesses like lack of iteration. The conclusion reinforces that the SDLC aims to develop high-quality, on-time and on-budget systems that are inexpensive to maintain.
The document discusses several software development process models including waterfall, iterative development, prototyping, RAD, spiral, RUP, and agile processes. The waterfall model is a linear sequential process while iterative development allows for incremental improvements. Prototyping allows users to provide early feedback. RAD combines waterfall and prototyping and emphasizes rapid development. Spiral model iterates through risk analysis, development, and planning phases. RUP is object-oriented and divided into cycles. Agile processes emphasize working software, incremental delivery, flexibility, and customer involvement.
The document discusses the Software Development Life Cycle (SDLC) which is a methodology for developing high quality software through defined processes and phases. It describes the typical phases of SDLC as requirement analysis and planning, defining requirements, software design, development, testing, and deployment. Popular SDLC models include waterfall, iterative, spiral, incremental, and prototype models. Each phase and model is then explained in more detail over the course of the document.
International Journal of Soft Computing and Engineering (IJShildredzr1di
International Journal of Soft Computing and Engineering (IJSCE)
ISSN: 2231-2307, Volume-2, Issue-3, July 2012
251
Abstract— In recent years, software testing is becoming more
popular and important in the software development industry.
Indeed, software testing is a broad term encircling a variety of
activities along the development cycle and beyond, aimed at
different goals. Hence, software testing research faces a collection
of challenges. A consistent roadmap of most relevant challenges is
proposed here. In it, the starting point is constituted by some
important past achievements, while the destination consists of two
major identified goals to which research ultimately leads, but
which remains as reachable as goals. The routes from the
achievements to the goals are paved by outstanding research
challenges, which are discussed in the paper along with the
ongoing work.
Software testing is as old as the hills in the history of digital
computers. The testing of software is an important means of
assessing the software to determine its quality. Since testing
typically consumes 40~50% of development efforts, and consumes
more effort for systems that require higher levels of reliability, it is
a significant part of the software engineering
Software testing is a very broad area, which involves many
other technical and non-technical areas, such as specification,
design and implementation, maintenance, process and
management issues in software engineering. Our study focuses on
the state of the art in testing techniques, as well as the latest
techniques which representing the future direction of this area.
Today, testing is the most challenging and dominating activity
used by industry, therefore, improvement in its effectiveness, both
with respect to the time and resources, is taken as a major factor
by many researchers
The purpose of testing can be quality assurance, verification,
and validation or reliability estimation. It is a tradeoff between
budget, time and quality. Software Quality is the central concern
of software engineering. Testing is the single most widely used
approach to ensuring software quality.
(Keywords: SDLC, Software quality, Testing techniq
Technique .)
I. INTRODUCTION
I. Introduction: Software Testing
Software testing is the process of executing a program or
system with the intent of finding errors. Software is not unlike
other physical processes where inputs are received and
outputs are produced. Where software differs is in the manner
in which it fails. Most physical systems fail in a fixed (and
reasonably small) set of ways. By contrast, software can fail in
Manuscript received: on July, 2012
Maneela Tuteja, Department of Information TechnologyDronacharya
College of Engineering, Gurgaon, Haryana,.
Gaurav Dubey, Amity School of Computer Sciences, Amity University,
Uttar Pradesh,India.,
.
many bizarre ways. Detec ...
The document discusses the software development life cycle (SDLC). It describes the typical phases of SDLC including problem definition, program design, coding, debugging, testing, documentation, maintenance, and extension/redesign. It also covers different SDLC models like waterfall, prototyping, and agile development. The SDLC process is best for structured environments while iterative models work better for web and e-commerce projects where frequent stakeholder feedback is needed.
REPORT IN SYSTEM INTEGRATION AND ARCHITECTURE.pptxESAChannel
The term "Software Development Life Cycle" (SDLC) refers to a methodology for producing high-quality software that includes well-defined processes. The phases of software development that the SDLC approach focuses on in depth are as follows:
The document describes 18 different software development models including the Waterfall, Incremental, Spiral, Concurrent, Component-Based, Formal Method, Aspect Oriented, Unified Process models. For each model there is a brief introduction describing the key aspects of the model, a diagram illustrating it, advantages and disadvantages, best uses, and similar models. The models range from traditional sequential to more modern iterative and agile approaches.
The document describes various software development life cycle (SDLC) models. It discusses the waterfall model, iterative model, spiral model, V-model, and big bang model. For each model, it provides an overview of the design, typical application scenarios, and pros and cons. The key stages of the waterfall model are outlined in detail, including planning, requirements, design, implementation, testing, deployment, and maintenance.
The document discusses software engineering and the software development life cycle. It defines software engineering as the process of designing, developing, testing, and maintaining software applications. It notes that software engineers use engineering principles and programming languages to create software solutions for end users. It also outlines some of the main challenges in software engineering like debugging, security issues, time limitations, testing conflicts, and changing requirements. Finally, it provides an overview of the typical steps in the software development life cycle including planning, requirements analysis, and development process models.
Introduction,Software Process Models, Project Managementswatisinghal
The document discusses different types of software processes and models used in software engineering. It defines software and differentiates it from programs. It then explains key concepts in software engineering including the waterfall model, prototyping model, incremental/iterative model, and spiral model. For each model it provides an overview and discusses their advantages and limitations.
Elementary Probability theory Chapter 2.pptxethiouniverse
The document discusses various software process models including waterfall, iterative, incremental, evolutionary (prototyping and spiral), and component-based development models. It describes the key activities and characteristics of each model and discusses when each may be applicable. The waterfall model presents a linear sequential flow while evolutionary models like prototyping and spiral are iterative and incremental to accommodate changing requirements.
The document discusses different software development life cycle models including the waterfall model, iterative model, and prototyping model. It provides details on the waterfall model, describing it as a sequential process with distinct phases for requirements, design, implementation, verification, and maintenance. It notes some advantages like simplicity but also disadvantages like inability to go back a step. The document then covers the iterative model, describing it as breaking the project into modules that can be delivered incrementally with each release adding more functionality. The phases of the iterative model including planning, analysis and design, implementation, testing, and evaluation are outlined. Advantages of the iterative model like early software production and ability to change requirements more easily are highlighted.
The document discusses the software development lifecycle (SDLC). It defines SDLC as a series of phases that provide a model for developing and managing software applications. The key phases discussed are analysis, construction, testing, release, and maintenance. Within testing, the document emphasizes the importance of using tools like Veracode to test for security vulnerabilities without requiring additional resources. It also covers different SDLC methodologies like waterfall and agile approaches. The conclusion restates that the goal of any SDLC is to deliver high-quality, on-time, cost-effective software that is secure, efficient to maintain and cost-effective to enhance over time.
The document provides an overview of the Software Development Life Cycle (SDLC) including its various stages and models. The key points are:
1. SDLC is a process that consists of planning, analysis, design, implementation, testing, deployment, and maintenance phases to develop and maintain software.
2. The stages include planning, requirements analysis, design, development, testing, deployment, and maintenance.
3. Common models include waterfall, iterative, spiral, V-model, and agile. Waterfall is the earliest and most basic sequential model while iterative and agile are more flexible to changing requirements.
This document discusses various software development life cycle models including the V-Model, Prototyping Model, Extreme Programming, Synchronize-and-Stabilize Model, Fountain Model, and Spiral Model. It provides an overview and description of each model, outlining their key characteristics, advantages, and disadvantages. The models are classified based on features of software projects to determine the most appropriate life cycle approach.
Menus are ubiquitous in websites and applications of all types. They are critical to accessing the information and actions that users need, yet they can be very frustrating to use. In our UX consulting practice, many clients have come to us for help solving problems with menus, such as scaling to handle long lists of options, and overcoming usability issues with hover and flyout menus. In this presentation we’ll review what we have learned about best practices for designing mega menus, context menus, hamburger menus, full page menus and other types, and share case studies of menu redesigns we have worked on for enterprise applications, mobile apps, and information-rich websites.
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3. SDLC
Also referred to as the
application development life-
cycle
Used in systems engineering,
information systems and
software engineering
Applies to a range of hardware
and software configurations
4. Iterative models
It starts with
implementation of a small
set of the software
requirements
Development begins by
specifying and implementing
just part of the software
Produces a new version of
the software at the end of
each iteration of the model.
5. Iterative Model design
Requirements
Design &
Development
Testing Implementation
Testing
Testing
Design &
Development
Design &
Development
Build 1
Build 2
Build 3
Implementation
Implementation
6. Iterative
Model
Application
Requirements of the
complete system
Major requirements must
be defined
Market constraint.
A new technology is
being used
Resources are planned
High risk features
7. Pros and Cons
Some working functionality can be developed quickly and early
Results are obtained early and periodically.
Parallel development can be planned.
Progress can be measured.
Less costly to change the scope
Testing and debugging during smaller iteration is easy.
Risks are identified and resolved during iteration
Easier to manage risk
8. Pros and Cons
More resources may be required.
Not very suitable for changing requirements.
More management attention is required.
Not suitable for smaller projects.
Management complexity is more.
System architecture or design issue may arise
Highly skilled resources are required for risk analysis.
Projects progress is highly dependent upon the risk analysis
phase