Lecture 19,20 Software Development Process Models.pptxSeniorUsama
The document discusses three software development process models: the Waterfall model, Prototyping model, and Rapid Application Development (RAD) model. The Waterfall model involves dividing the development process into separate sequential phases. The Prototyping model involves iteratively developing prototypes based on customer feedback. The RAD model involves developing components in parallel on a time-boxed basis and assembling them into a working prototype.
Project on software engineering types of modelsSoham Nanekar
The document provides an overview of 5 software development models: Waterfall, Prototyping, Incremental, Concurrent, and Spiral. For each model, it describes the key aspects, advantages, disadvantages, example uses, and real-life applications. The Waterfall model involves sequential phases from requirements to maintenance. Prototyping involves building prototypes to understand requirements. Incremental involves dividing work into modules. Concurrent involves overlapping phases. Spiral involves risk identification and prototype evaluation in loops.
Process models are not perfect, but provide road map for software engineering work. Software models provide stability, control, and organization to a process that if not managed can easily get out of control
Software process models are adapted to meet the needs of software engineers and managers for a specific project.
The document discusses several software development process models:
- The waterfall model is a sequential process with distinct phases from conception to maintenance. It works well for small, stable projects.
- The prototype model develops throwaway prototypes for user feedback to refine requirements. It is useful for complex systems with significant user interaction.
- The incremental model produces working software in modules, with each release adding functionality until complete. It allows for flexibility and early delivery.
- The spiral model is iterative like the incremental model but emphasizes risk analysis in each phase. It is well-suited for large, critical projects.
- The agile model delivers working software frequently through rapid, incremental cycles with user collaboration, valuing interaction over process.
Software development process models
Rapid Application Development (RAD) Model
Evolutionary Process Models
Spiral Model
THE FORMAL METHODS MODEL
Specialized Process Models
The Concurrent Development Model
This document provides an overview of different software process models. It discusses the build and fix model, why models are needed to address issues like schedule and cost overruns. It covers process models as a "black box" and "white box" approach. Prescriptive models advocate an orderly approach and include activities like communication, planning, modeling etc. The waterfall model is described as having sequential phases of requirements, design, implementation, testing and maintenance. Limitations are noted. Incremental process models deliver software in increments. RAD aims for a very short development cycle through reuse. Evolutionary models produce increasingly complete versions through iterations, such as with prototyping, the spiral model and concurrent development.
This document provides an overview of different software process models. It discusses the build and fix model, why models are needed to address issues like schedule and cost overruns. It covers process models as a "black box" and "white box" approach. Prescriptive models advocate an orderly approach and include activities like communication, planning, modeling etc. The waterfall model is described as having sequential phases of requirements, design, implementation, testing and maintenance. Limitations are noted. Incremental process models deliver software in increments that build on each other. RAD aims for a very short development cycle through reuse. Evolutionary models produce increasingly complete versions through iterations like prototyping, the spiral model and concurrent development.
Process models describe the life cycle of software development from requirements gathering to maintenance. The main process models discussed are waterfall, incremental, RAD, prototype, spiral and concurrent development. Each model represents the phases and flow of activities in the software development process in a different way. Process models help develop software in a systematic manner and ensure all team members understand responsibilities and timelines.
The document discusses several common software life cycle models: the waterfall model, rapid application development (RAD) model, prototyping model, and spiral model. The waterfall model involves sequential phases from requirements to maintenance without overlap. The RAD model emphasizes rapid delivery through iterative prototyping. The prototyping model builds prototypes to refine requirements before full development. Finally, the spiral model takes a risk-driven approach to software development through iterative planning, risk analysis, and evaluations.
The document discusses and compares several software development life cycle (SDLC) models:
1) The waterfall model is a linear sequential flow where progress flows steadily through phases without backtracking. It is best for projects with clearly defined requirements.
2) The V-shaped model extends the waterfall model with early testing. It works well when requirements are easily understood.
3) The spiral model combines prototyping and risk assessment in cycles. It is favored for large, expensive projects built in phases.
4) The iterative model develops a system through repeated cycles and smaller portions, allowing learning from earlier versions. It produces value early and accommodates some changes.
5) The concurrent model develops tasks and states concurrently through framework
Process Models in Software EngineeringGohAr_MaLiik
The document discusses and compares different models of project development: Waterfall model, Incremental model, and Spiral model. The Waterfall model involves completing each phase fully before starting the next in a linear sequence, while the Incremental model divides the project into modules developed iteratively and the Spiral model similarly iterates in risk analysis, engineering, and evaluation spirals.
The document discusses several system development life cycle (SDLC) models including waterfall, iterative, incremental, spiral, RAD, concurrent, and unified process models. The key phases of SDLC are defined as preliminary survey, analysis, design, implementation, post-implementation/maintenance, and project termination. Each model takes different approaches such as sequential, iterative, incremental, or concurrent development through the SDLC phases.
Evolutionary process models are iterative models that allow software to develop through more complete versions. The main evolutionary models discussed are prototyping, spiral, and concurrent development models. Prototyping model quickly produces initial programs and gets user feedback to refine the prototype until requirements are met. Spiral model is risk-driven and provides alternatives if risks are found. Concurrent model has activities moving between states to allow immediate feedback.
Software Lifecycle Models / Software Development Models
Types of Software development models
Waterfall Model
Features of Waterfall Model
Phase of Waterfall Model
Prototype Model
Advantages of Prototype Model
Disadvantages of Prototype model
V Model
Advantages of V-model
Disadvantages of V-model
When to use the V-model
Incremental Model
ITERATIVE AND INCREMENTAL DEVELOPMENT
INCREMENTAL MODEL LIFE CYCLE
When to use the Incremental model
Rapid Application Development RAD Model
phases in the rapid application development (RAD) model
Advantages of the RAD model
Disadvantages of RAD model
When to use RAD model
Agile Model
Advantages of Agile model
Disadvantages of Agile model
When to use Agile model
Comparison of Software Engineering Modelstahir iqbal
This document provides an overview of several software development process models: waterfall model, iterative model, prototyping model, and spiral model. It describes the basic principles, advantages, and disadvantages of each model. The waterfall model involves sequential phases from requirements to maintenance. The iterative model divides a project into smaller parts with feedback between phases. The prototyping model emphasizes user involvement through prototypes. The spiral model combines elements of design and prototyping with a focus on risk assessment through multiple cycles.
The document discusses several software development process models:
- The Waterfall model is a linear sequential model where each phase must be completed before the next begins. It works best for small, well-defined projects.
- The Incremental model divides requirements into builds that each pass through phases of requirements, design, implementation, and testing in an iterative manner.
- Specialized models discussed include the Unified Process model, which incorporates iterative and incremental elements, and the Personal Software Process and Team Software Process which emphasize individual and team metrics, planning, and process improvement.
The document discusses various topics related to software engineering including:
1. It defines software and describes attributes of good software such as functionality, maintainability, dependability, and usability.
2. It explains that software engineering is concerned with all aspects of software production, whereas computer science focuses more on theory and fundamentals.
3. Key attributes of good software are discussed including maintainability, dependability, efficiency, and acceptability.
4. Various software engineering models such as waterfall, prototyping, spiral, and agile models are briefly introduced.
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.
This document provides an overview of different software process models including the build and fix model, waterfall model, incremental process model, and evolutionary process models like prototyping and spiral model. It describes the key activities and limitations of each model. The build and fix model involves continuously building and reworking a product without design. The waterfall model is a linear sequential process with distinct stages of requirements, design, implementation, testing, and maintenance. Incremental and evolutionary models like prototyping and spiral model deliver software iteratively in increments with customer feedback to refine requirements.
The document discusses various software development life cycle (SDLC) models. It describes the phases of SDLC as requirements gathering and analysis, design, development, testing, implementation, and maintenance. Several common models are explained in detail, including the waterfall model, prototyping model, incremental model, and spiral model. The waterfall model follows a sequential process from requirements to maintenance, while other iterative models allow for more customer feedback and flexibility to change requirements over multiple iterations of development. Choosing the appropriate model depends on factors like project risks, requirements stability, and need for early delivery of basic functionality.
The document discusses several software development life cycle (SDLC) models including waterfall, V-shaped, prototyping, rapid application development (RAD), incremental, spiral, and timeboxing. It provides descriptions of each model including typical steps, strengths, weaknesses, and when each model is best suited. It also discusses capability maturity model (CMM) levels and how changing the lifecycle model can impact development speed, quality, visibility, overhead, risk, and customer relations.
The Waterfall Model is a linear sequential software development process where each phase must be completed before the next can begin. It has six phases: requirements, analysis, design, coding, testing, and maintenance. The advantages are that it is simple, easy to manage each phase, and works well for small projects with fixed requirements. The disadvantages are that it is inflexible, does not allow for overlapping phases, and changes later in the process are costly. The Waterfall Model is best for projects with stable requirements, clear specifications, and available expertise throughout the process.
This is about software engineering.Software engineers apply engineering principles and knowledge of programming languages to build software solutions for end users. Software engineers design and develop computer games, business applications, operating systems, network control systems, and middleware—to name just a few of the many career paths available.
This document discusses several software development models and practices. It describes the waterfall model which involves sequential stages of requirement analysis, design, implementation, testing, and maintenance. It also covers prototyping, rapid application development (RAD), and component assembly models which are more iterative in nature. The prototyping model involves creating prototypes to help define requirements, RAD emphasizes reuse and short development cycles, and component assembly focuses on reusing existing software components.
Process models describe the life cycle of software development from requirements gathering to maintenance. The main process models discussed are waterfall, incremental, RAD, prototype, spiral and concurrent development. Each model represents the phases and flow of activities in the software development process in a different way. Process models help develop software in a systematic manner and ensure all team members understand responsibilities and timelines.
The document discusses several common software life cycle models: the waterfall model, rapid application development (RAD) model, prototyping model, and spiral model. The waterfall model involves sequential phases from requirements to maintenance without overlap. The RAD model emphasizes rapid delivery through iterative prototyping. The prototyping model builds prototypes to refine requirements before full development. Finally, the spiral model takes a risk-driven approach to software development through iterative planning, risk analysis, and evaluations.
The document discusses and compares several software development life cycle (SDLC) models:
1) The waterfall model is a linear sequential flow where progress flows steadily through phases without backtracking. It is best for projects with clearly defined requirements.
2) The V-shaped model extends the waterfall model with early testing. It works well when requirements are easily understood.
3) The spiral model combines prototyping and risk assessment in cycles. It is favored for large, expensive projects built in phases.
4) The iterative model develops a system through repeated cycles and smaller portions, allowing learning from earlier versions. It produces value early and accommodates some changes.
5) The concurrent model develops tasks and states concurrently through framework
Process Models in Software EngineeringGohAr_MaLiik
The document discusses and compares different models of project development: Waterfall model, Incremental model, and Spiral model. The Waterfall model involves completing each phase fully before starting the next in a linear sequence, while the Incremental model divides the project into modules developed iteratively and the Spiral model similarly iterates in risk analysis, engineering, and evaluation spirals.
The document discusses several system development life cycle (SDLC) models including waterfall, iterative, incremental, spiral, RAD, concurrent, and unified process models. The key phases of SDLC are defined as preliminary survey, analysis, design, implementation, post-implementation/maintenance, and project termination. Each model takes different approaches such as sequential, iterative, incremental, or concurrent development through the SDLC phases.
Evolutionary process models are iterative models that allow software to develop through more complete versions. The main evolutionary models discussed are prototyping, spiral, and concurrent development models. Prototyping model quickly produces initial programs and gets user feedback to refine the prototype until requirements are met. Spiral model is risk-driven and provides alternatives if risks are found. Concurrent model has activities moving between states to allow immediate feedback.
Software Lifecycle Models / Software Development Models
Types of Software development models
Waterfall Model
Features of Waterfall Model
Phase of Waterfall Model
Prototype Model
Advantages of Prototype Model
Disadvantages of Prototype model
V Model
Advantages of V-model
Disadvantages of V-model
When to use the V-model
Incremental Model
ITERATIVE AND INCREMENTAL DEVELOPMENT
INCREMENTAL MODEL LIFE CYCLE
When to use the Incremental model
Rapid Application Development RAD Model
phases in the rapid application development (RAD) model
Advantages of the RAD model
Disadvantages of RAD model
When to use RAD model
Agile Model
Advantages of Agile model
Disadvantages of Agile model
When to use Agile model
Comparison of Software Engineering Modelstahir iqbal
This document provides an overview of several software development process models: waterfall model, iterative model, prototyping model, and spiral model. It describes the basic principles, advantages, and disadvantages of each model. The waterfall model involves sequential phases from requirements to maintenance. The iterative model divides a project into smaller parts with feedback between phases. The prototyping model emphasizes user involvement through prototypes. The spiral model combines elements of design and prototyping with a focus on risk assessment through multiple cycles.
The document discusses several software development process models:
- The Waterfall model is a linear sequential model where each phase must be completed before the next begins. It works best for small, well-defined projects.
- The Incremental model divides requirements into builds that each pass through phases of requirements, design, implementation, and testing in an iterative manner.
- Specialized models discussed include the Unified Process model, which incorporates iterative and incremental elements, and the Personal Software Process and Team Software Process which emphasize individual and team metrics, planning, and process improvement.
The document discusses various topics related to software engineering including:
1. It defines software and describes attributes of good software such as functionality, maintainability, dependability, and usability.
2. It explains that software engineering is concerned with all aspects of software production, whereas computer science focuses more on theory and fundamentals.
3. Key attributes of good software are discussed including maintainability, dependability, efficiency, and acceptability.
4. Various software engineering models such as waterfall, prototyping, spiral, and agile models are briefly introduced.
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.
This document provides an overview of different software process models including the build and fix model, waterfall model, incremental process model, and evolutionary process models like prototyping and spiral model. It describes the key activities and limitations of each model. The build and fix model involves continuously building and reworking a product without design. The waterfall model is a linear sequential process with distinct stages of requirements, design, implementation, testing, and maintenance. Incremental and evolutionary models like prototyping and spiral model deliver software iteratively in increments with customer feedback to refine requirements.
The document discusses various software development life cycle (SDLC) models. It describes the phases of SDLC as requirements gathering and analysis, design, development, testing, implementation, and maintenance. Several common models are explained in detail, including the waterfall model, prototyping model, incremental model, and spiral model. The waterfall model follows a sequential process from requirements to maintenance, while other iterative models allow for more customer feedback and flexibility to change requirements over multiple iterations of development. Choosing the appropriate model depends on factors like project risks, requirements stability, and need for early delivery of basic functionality.
The document discusses several software development life cycle (SDLC) models including waterfall, V-shaped, prototyping, rapid application development (RAD), incremental, spiral, and timeboxing. It provides descriptions of each model including typical steps, strengths, weaknesses, and when each model is best suited. It also discusses capability maturity model (CMM) levels and how changing the lifecycle model can impact development speed, quality, visibility, overhead, risk, and customer relations.
The Waterfall Model is a linear sequential software development process where each phase must be completed before the next can begin. It has six phases: requirements, analysis, design, coding, testing, and maintenance. The advantages are that it is simple, easy to manage each phase, and works well for small projects with fixed requirements. The disadvantages are that it is inflexible, does not allow for overlapping phases, and changes later in the process are costly. The Waterfall Model is best for projects with stable requirements, clear specifications, and available expertise throughout the process.
This is about software engineering.Software engineers apply engineering principles and knowledge of programming languages to build software solutions for end users. Software engineers design and develop computer games, business applications, operating systems, network control systems, and middleware—to name just a few of the many career paths available.
This document discusses several software development models and practices. It describes the waterfall model which involves sequential stages of requirement analysis, design, implementation, testing, and maintenance. It also covers prototyping, rapid application development (RAD), and component assembly models which are more iterative in nature. The prototyping model involves creating prototypes to help define requirements, RAD emphasizes reuse and short development cycles, and component assembly focuses on reusing existing software components.
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2. Process Models
Every s/w organization should describe a unique set of frame
work activities such as communication, planning , modeling,
construction ,and deployment.
Each process model describes a workflow in which the
process elements are interrelated to one other.
These are the types of process models
Waterfall model
Incremental model
RAD model
Prototyping
Spiral
Concurrent development model
Unified process model
3. TheWaterfall Model
Water fall model is also called as classic life cycle model
This is oldest paradigm for s/w engineering.
communication
planning
modeling
construction
deployment
5. When to use the waterfall model:
This model is used only when the requirements are very well
known, clear and fixed.
Product definition is stable.
Technology is understood.
There are no ambiguous requirements
The project is short.
6. Advantages of waterfall model:
This model is simple and easy to understand and use.
It is easy to manage due to the rigidity of the model
In this model phases are processed and completed one at a time. Phases do
not overlap.
Disadvantages of waterfall model:
Once the process is done, it is very difficult to go back and change something
No working software is produced until late during the life cycle.
High amounts of risk and uncertainty.
Not a good model for complex and object-oriented projects.
Poor model for long and ongoing projects.
Not suitable for the projects where requirements are at a moderate to high
risk of changing.
7. Incremental process model
Incremental model
This model combines elements of waterfall model applied in
iterative fashion
Inc 1
Inc 2
Inc n
.. …..
Project calendar time
s/w functionality and features
8. The incremental model combines elements of the linear
sequential model with the iterative philosophy of prototyping.
The incremental model applies linear sequences in a staged
fashion.
Each linear sequence produces a deliverable “increment” of
the software.
The first increment is often a core product.
The core product is evaluated, a plan is developed for the next
increment.
The plan addresses the modification of the core product to
better meet the needs of the customer and delivery of
supplementary features.
The process is repeated until the complete product is
produced.
9. When to use the Incremental model:
This model can be used when the
requirements of the system are clearly defined
and understood.
Major requirements must be defined; however,
some details can evolve with time.
There is a need to get a product to the market
early.
Resources with needed skill set are not
available.
10. Advantages of Incremental model:
Generates working software quickly .
This model is more flexible – less costly to change scope and
requirements.
It is easier to test and debug during a smaller iteration.
In this model customer can respond to each built.
Easier to manage risk because risky pieces are identified and
handled during it’d iteration.
Disadvantages of Incremental model:
Needs good planning and design.
Needs a clear and complete definition of the whole system
before it can be broken down and built incrementally.
Total cost is higher than waterfall.
12. Rapid application development model is a high speed
adaptation. in which rapid development is achieved by using
a component based construction approach.
This process enables the developer to create a fully functional
system” with in a very short time( e.g., 60 to 90 days)
Communication is required to understand the business
problems.
Planning is essential because multiple s/w teams work in
parallel in different system functions.
Modeling has 3 phases business, data and process
modeling which gives the design representation that serves
as basic for RAD’s Construction phase
Construction is all about the application of code generation.
Deployment was done for subsequent iterations if
necessary.
13. When to use RAD model:
RAD should be used when there is a need to create a system
that can be modularized in 2-3 months of time.
It should be used if there’s high availability of designers for
modeling and the budget is high enough to afford their cost.
RAD should be chosen only if resources with high business
knowledge are available and there is a need to produce the
system in a short span of time (2-3 months).
14. Advantages of the RAD model:
Reduced development time.
Increases reusability of components
Quick initial reviews occur
Disadvantages of RAD model:
Only system that can be modularized can be built using RAD
Requires highly skilled developers/designers.
High dependency on modeling skills
Inapplicable to cheaper projects as cost of modeling and
automated code generation is very high.
15. Evolutionary Process Models
These models are iterative, they are characterized in a
manner that enables software engineers to develop
increasingly more complete version of the software.
Prototyping
Spiral model
The concurrent development model
17. Communication
In this phase, developer and customer meet and discuss the overall objectives of the software.
Quick design
Quick design is implemented when requirements are known.
It includes only the important aspects like input and output format of the software.
It focuses on those aspects which are visible to the user rather than the detailed plan.
It helps to construct a prototype.
Modeling quick design
This phase gives the clear idea about the development of software because the software is now built.
It allows the developer to better understand the exact requirements.
Construction of prototype
The prototype is evaluated by the customer itself.
Deployment, delivery, feedback
If the user is not satisfied with current prototype then it refines according to the requirements of the user.
The process of refining the prototype is repeated until all the requirements of users are met.
When the users are satisfied with the developed prototype then the system is developed on the basis of final
prototype.
18. When to use Prototype model
Prototype model should be used when the desired system
needs to have a lot of interaction with the end users.
Typically, online systems, web interfaces have a very high
amount of interaction with end users, are best suited for
Prototype model. It might take a while for a system to be
built that allows ease of use and needs minimal training for
the end user.
Prototyping ensures that the end users constantly work with
the system and provide a feedback which is incorporated in
the prototype to result in a useable system.They are excellent
for designing good human computer interface systems.
19. Advantages of Prototyping Model
Prototype model need not know the detailed input, output,
processes, adaptability of operating system and full machine
interaction.
In the development process of this model users are actively
involved.
The development process is the best platform to understand
the system by the user.
Errors are detected much earlier.
Gives quick user feedback for better solutions.
It identifies the missing functionality easily. It also identifies
the confusing or difficult functions.
20. Disadvantages of Prototyping Model :
The client involvement is more and it is not always
considered by the developer.
It is a slow process because it takes more time for
development.
Many changes can disturb the rhythm of the development
team.
Users are confused with the prototype given.
22. When to use Spiral model
When costs and risk evaluation is important
For medium to high-risk projects
Users are not sure of their needs
Requirements are complex
New product line
Significant changes are expected
23. Advantages of Spiral model
High amount of risk analysis hence, avoidance of Risk is enhanced.
Good for large and mission-critical projects.
Additional Functionality can be added at a later date.
Software is produced early in the software life cycle.
24. Disadvantages of Spiral model
Can be a costly model to use.
Risk analysis requires highly specific expertise.
Project’s success is highly dependent on the risk analysis phase.
Doesn’t work well for smaller projects.
26. The concurrent development model, some times called
concurrent engineering.
The concurrent process model can be represented as a series of
major technical activities, tasks, and their associated states.
Each concurrent activity can be in any one of the following states:
None
Awaiting
Under development
Done
The concurrent process model is applicable to all types of s/w
development and provide an accurate picture of the current state
of a project.
27. When to use concurrent development model
If stakeholder's want to know the current state of the
project.
If we want to complete the project in less time.
If we have more human resources.
Overall requirements are not needed to start the project.
28. Advantages of the concurrent development model
This model is applicable to all types of software development
processes.
It is easy for understanding and use.
It gives immediate feedback from testing.
It provides an accurate picture of the current state of a
project.
29. Disadvantages of the concurrent development model
It needs better communication between the team members.
This may not be achieved all the time.
It requires to remember the status of the different activities.
30. The Unified Process
The unified process recognize the customer
communication and steam lined methods for describing
the customer’s view of a system.
It emphasizes the importance of s/w architecture and helps
the architect focus on the right goals
32. UML provides the necessary technology to support OO s/w
engineering practices which does not provide the process
frame work to guide project teams in their application of
technology
33. Inception
Defines the scope of the system
Identify critical risk
The goal of the inception phase is to establish a business case
for the system.
You should identify all external entities (people and systems)
that will interact with the system and define their interactions
The out put of inception phase
The major shareholders agree on the scope of the project
It addresses high level requirements
As the business case is produced helps to provide green signal
to continue with the project
34. Elaboration:
The goals of the elaboration phase are to develop an
understanding of the problem domain.
Establish an architectural framework for the system, develop
the project plan and identify key project risks.
35. Construction:
The construction phase is essentially concerned with system ,
programming and testing.
On completion of this phase, you should have a working software
system and associated documentation that is ready for delivery to
users.
Transition:
The final phase of the UP is concerned with moving the system from
the development community to the user community and making it
work in a real environment.
During this phase the team focuses on correcting defects and
modifying the system.
The goal of this phase to roll out fully functional system to customers
36. Agile development model
It is also a type of Incremental model. Software is developed
in incremental, rapid cycles.
This results in small incremental releases with each release
building on previous functionality.
Each release is thoroughly tested to ensure software quality is
maintained.
It is used for time critical applications.
Extreme Programming (XP) is currently one of the most
well known agile development life cycle model
38. When to use Agile model
When new changes are needed to be implemented.The freedom agile gives
to change is very important. New changes can be implemented at very little
cost because of the frequency of new increments that are produced.
To implement a new feature the developers need to lose only the work of a
few days, or even only hours, to roll back and implement it.
Unlike the waterfall model in agile model very limited planning is required
to get started with the project.Agile assumes that the end users’ needs are
ever changing in a dynamic business and IT world. Changes can be discussed
and features can be newly effected or removed based on feedback.This
effectively gives the customer the finished system they want or need.
Both system developers and stakeholders alike, find they also get more
freedom of time and options than if the software was developed in a more
rigid sequential way. Having options gives them the ability to leave
important decisions until more or better data or even entire hosting
programs are available; meaning the project can continue to move forward
without fear of reaching a sudden standstill.
39. Advantages of Agile model:
Customer satisfaction by rapid, continuous delivery of useful
software.
People and interactions are emphasized rather than process and
tools. Customers, developers and testers constantly interact with
each other.
Working software is delivered frequently (weeks rather than
months).
Face-to-face conversation is the best form of communication.
Close, daily cooperation between business people and
developers.
Continuous attention to technical excellence and good design.
Regular adaptation to changing circumstances.
Even late changes in requirements are welcomed
40. Disadvantages of Agile model:
In case of some software deliverables, especially the large
ones, it is difficult to assess the effort required at the
beginning of the software development life cycle.
There is lack of emphasis on necessary designing and
documentation.
The project can easily get taken off track if the customer
representative is not clear what final outcome that they want.
Only senior programmers are capable of taking the kind of
decisions required during the development process. Hence it
has no place for newbie programmers, unless combined with
experienced resources.
42. Introduction
The requirements for a system are the descriptions of the
services provided by the system and its operational
constraints
Requirements reflects the need of the customers for
system.
The process of finding out ,analysis , documentation, and
checking these services and constraints is called
requirements engineering.
Some problems that arise during the requirements
engineering process are a result of failing to make a clear
separations.
User requirements.
System requirements.
43. User requirements
Are the statements in natural language and diagrams, of what
services the system is expected to provide and the
constraints under which it must operate.
System requirements
It sets the systems, functions, services and operational
constraints in detail.
The system requirements document(functional specifications)
should be precise.
It defines what exactly to be implemented.
It may be a contract b/w system buyer and s/w developer.
45. Functional and non-functional requirements
s/w system requirements are often classified as
Functional requirements
These are statements of services the system should
provide, how the system should react to particular inputs
and how the system should behave in particular situations.
Non functional requirements
These are constraints on the services or functions
offered by the system.
They include timing constraints, constraints on the
development process and standards.
46. Domain Requirements:
These are requirements that come from the application
domain of the system and that reflect characteristics and
constraints of that domain.
47. Functional requirements
The functional requirements for a system describe what
the system should do.
The functional system requirements describe the system
functional in details.
Eg: Libsys, used by students and faculty to order books
and documents from other library.
1.The system shall provide appropriate viewers fro the user
to read doc in the doc store.
2.Every order shall be allocated a unique identifier (order_id).
48. The functional user requirements define specific facilities
to be provided by the system.
These will be taken from the user requirement documents.
Eg: it allows users to download copies of published articles in
magazines, newspapers and scientific journals.
The functional requirements specification of a system should
be complete and consistent
Completeness: services required by the user should be
defined.
Consistency: requirement should not have contradictory
definitions.
49. Non Functional Requirements
These requirements are not directly concerned with the
specific functions delivered by the system.
They specifies system performance, security, availability,
etc called as emergent properties of the system.
Failing to meet non functional requirements can mean that
the whole system is unusable.
These requirements arise through user needs, budget
constrains, organizational policies, need for
interoperability, safety regulations, privacy etc.
51. Product requirements
Specifies product behavior
E.g.: how fast the system must execute, memory required etc
Organizational requirements
Derives from policies and procedures in the customers and
developers organization
E.g.: includes process standards, designed model used,
documentation etc.
External requirement
Which are derived from factors external to the system and its
development process.
E.g.: security, privacy, standards etc
52. Domain Requirements
Domain requirements are derived from the application domain.
These requirements are important because they reflect fundamentals of
application domain.
E.g:
the domain requirement below is included in the requirements specification
for an automated train protection system.
This system automatically stops a train if it goes through a red signal.
This requirement states how the train deceleration is computed by the
system.
It uses domain-specific terminology. To understand it, you need some
understanding of the operation of railway systems and train characteristics.
The deceleration of the train shall be computed as:
D (train) = D (control) + D (gradient)
D (gradient) is 9.81ms2 * compensated gradient/alpha and
the values of 9.81ms2 /alpha are known for different types of train.
53. User Requirements
The user requirements for a system should describe the
functional and non functional requirements so they are
understandable by system users.
When writing user requirements one should not use
software jargon, structural ,formal notations etc.
User requirements should be in simple language, with
simple tables and diagrams.
54. Various problems can arise when requirements are written in
natural language sentences in a text document.
Lack of clarity
Requirements confusion
Requirements amalgamation
It is a good practice to separate user requirements from more
detailed system requirements in a requirement document.
otherwise non technical readers may be overwhelmed by
details.
55. Guidelines to write user requirements
Invent a standard format and ensure that all requirements
in a that format.
Use language consistently. we have to differentiate both
mandatory and desirable requirements.
Use text highlighters to pick out key part of the
requirements.
Avoid computer jargon or technical terms.
56. System Requirements
System requirements are expanded version of user
requirements.
They explain how user requirements should be provide
by the system.
System requirements should simply describe the external
behavior of the system and its operational constraints.
System requirements are more detailed than user
requirements, natural language specification can be
confusing and hard to understand.
58. Finally the system requirements should give precise out put
to the developer in an unambiguous way.
59. Structured Language Specification
Structured natural language is a way of writing system
requirement where the freedom of the requirements writer
is limited.
The advantage of this approach is that it maintains most of
the expressiveness and understandability of natural
language.
This notations limit the terminology that can be used and
use templates to specify system requirements.
We can also use form based approach to specify system
requirements.
61. Formatted specifications removes some of the
problems of natural language specifications.
It is difficult to write requirements for complex system
even in formatted forms.
To address this problem, we can add extra
information such as graphical models of the system.
Graphical models are most useful when we need to
show the change in states as below.
63. Interface Specification
All software systems must operate with existing system that
have been implemented and installed in an environment.
If a new system and the existing system must work
together, the interfaces of existing system have to be
precisely specified.
Types of interface
Procedural interfaces
Data structures
Representations of data
64. The Software Requirements Document
The software requirements document or software
requirements specification (SRS) is the official
statement of what the system developers should
implement.
It should include both the user requirements for a
system and a detailed specification of the system
requirements
66. 1. Introduction
1.1 Purpose of the requirements document
1.2 Scope of the product
1.3 Definitions, acronyms and abbreviations
1.4 References
1.5 Overview of the remainder of the document
2. General description
2.1 Product perspective
2.2 Product functions
2.3 User characteristics
2.4 General constraints
2.5 Assumptions and dependencies
3. Specific requirements
3.1 functional requirements
3.2 non-functional requirements
3.3 interface requirements
4. Appendices
5. Index
68. Introduction
The goal of the requirements engineering process is to
create and maintain a system requirements document.
The overall process includes four high-level requirements
engineering sub-processes.
Feasibility Study: These are concerned with
assessing whether the system is useful to the
business.
Elicitation and Analysis: discovering requirements.
Specification: converting these requirements into
some standard form.
Validation: checking that the requirements actually
define the system that the customer wants.
71. Feasibility study
For all new systems, the requirements engineering
process should start with a feasibility study.
The input to the feasibility study is a set of preliminary
business requirements, an outline description of the
system and how the system is intended to support
business processes.
The results of the feasibility study should be a report
that recommends WHETHER OR NOT IT IS WORTH
CARRYING on with the requirements engineering and
system development process.
72. A feasibility study is a short, focused study that aims to
answer a number of questions:
Does the system contribute to the overall objectives
of the organization?
Can the system be implemented using current
technology and within given cost and schedule
constraints?
Can the system be integrated with other systems
which are already in place?
73. Requirements Elicitation and Analysis
In Requirements Elicitation and Analysis, the software
engineers work with customers and system end-users
to find out:
About the application domain.
What services the system should provide.
The required performance of the system.
Hardware constraints
74. Difficulties in Elicitation
Stakeholders often don't know what they want from
the computer system except in the most general
terms.
Stakeholders naturally express requirements in their
own terms and with implicit knowledge of their own
work. Requirements engineers, without experience in
the customer's domain, must understand these
requirements.
Different stakeholders have different requirements,
which they may express in different ways.
75. Political factors may influence the requirements of the
system.
The economic and business environment in which the
analysis takes place is dynamic
77. Requirements discovery:
This is the process of interacting with stakeholders in
the system to collect their requirements.
Domain requirements from stakeholders and
documentation are also discovered during this activity.
Requirements classification and organization:
This activity takes the unstructured collection of
requirements, groups related requirements and
organizes them into coherent clusters.
78. Requirements prioritization and negotiation:
Inevitably, where multiple stakeholders are involved,
requirements will conflict.
This activity is concerned with prioritizing
requirements, and finding and resolving requirements
conflicts through negotiation.
Requirements documentation:
The requirements are documented and input into the
next round of the spiral.
Formal or informal requirements documents may be
produced.
79. Requirements discovery
Requirements discovery is the process of gathering
information about the proposed and existing systems
and distilling the user and system requirements from
this information.
Sources of information during the requirements
discovery phase include documentation, system
stakeholders and specifications of similar systems.
81. Interviewing
Formal or informal interviews with system
stakeholders are part of most requirements
engineering processes.
In these interviews, the requirements engineering
team puts questions to stakeholders about the system
that they use and the system to be developed.
Requirements are derived from the answers to these
questions.
82. Interviews may be of two types:
Closed interviews:
where the stakeholder answers a predefined set of
questions.
Open interviews:
where there is no predefined agenda. The
requirements engineering team explores a range of
issues with system stakeholders and hence
develops a better understanding of their needs.
83. Characteristics of Interviewers
They are open-minded, avoid preconceived ideas
about the requirements and are willing to listen to
stakeholders. If the stakeholder comes up with
surprising requirements, they are willing to change
their mind about the system.
They prompt to start discussions with a question, a
requirements proposal or by suggesting working
together on a prototype system.
84. It is hard to elicit domain knowledge during
interviews for 2 reasons
All application specialists use jargon that is specific to
a domain. It is impossible for them to discuss domain
requirements without using this terminology. They
normally use terminology in a precise and subtle way
that is easy for requirements engineers to
misunderstand.
Some domain knowledge is so familiar to
stakeholders that they either find it difficult to explain
or they think it is so fundamental that it isn't worth
mentioning.
85. Scenarios
People usually find it easier to relate to real-life
examples than to abstract descriptions.
They can understand and critique a scenario of how
they might interact with a software system,
Requirements engineers can use the information
gained from this discussion to formulate the actual
system requirements.
Each scenario covers one or more possible
interactions. The scenario starts with an outline of the
interaction, and, during elicitation, details are added to
create a complete description of that interaction.
86. View points
The requirements sources (stakeholders, domain,
systems) can all be represented as system viewpoints,
where each viewpoint presents a sub-set of the
requirements for the system.
Each viewpoint provides a fresh perspective on the
system.
Viewpoints can be used as a way of classifying
stakeholders and other sources of requirements.
Interactor viewpoints
Indirect viewpoints
Domain viewpoints
87. Interactor viewpoints: represent people or other
systems that interact directly with the system.
Indirect viewpoints: represent stakeholders
who do not use the system themselves but who
influence the requirements in some way.
Domain viewpoints: represent domain
characteristics and constraints that influence the
system requirements.
89. Use cases
Use-cases are a scenario-based technique for
requirements elicitation.
A use-case identifies the type of interaction and
the actors involved.
92. Ethnography
It is an observational technique that can be used to
understand social and organizational requirements.
Analyst immerse the day work and note them self in
the working environment where the system will be
used.
We have to observe day to day work and notes made
of actual tasks in which participants are involved.
People find it difficult to articulate second nature for
them.
93. They understand their own work but may not
understand its relationship with their organization.
Social and organizational factors that affect the work
but that are obvious to individuals may only become
clear when noticed by an unbiased observer.
94. Ethnography is particularly effective at
discovering two types of requirements:
Requirements that are derived from the way in
which people actually work.
Requirements that are derived from cooperation
and awareness of other people's activities.
95. Requirement validation
Requirements validation is concerned with showing
that the requirements actually define the system that
the customer wants.
Requirements validation is important because errors
in a requirements document can lead to extensive
rework costs when they are discovered during
development or after the system is in service.
The cost of fixing a requirements problem by making
a system change is much greater than repairing
design or coding errors.
96. The requirements validation process performs various
checks include:
Validity checks
Consistency checks
Completeness checks
Realism checks
Verifiability checks
97. Requirements validation techniques
Requirements reviews: The requirements are
analyzed systematically by a team of reviewers.
Prototyping: In this approach to validation, an
executable model of the system is demonstrated to
end-users and customers. They can experiment with
this model to see if it meets their real needs.
Test-case generation: Requirements should be
testable. If the tests for the requirements are devised
as part of the validation process, this often reveals
requirements problems.
98. Requirements reviews
A requirements review is a manual process that
involves people from both client and contractor
organizations.
They check the requirements document for anomalies
and omissions.
Requirements reviews can be informal or formal.
99. Reviewers may check for
Verifiability: Is the requirement as stated realistically
testable?
Comprehensibility: Do the procurers or end-users of
the system properly understand the requirement?
Traceability: Is the origin of the requirement clearly
stated? You may have to go back to the source of the
requirement to assess the impact of a change.
Traceability is important as it allows the impact of
change on the rest of the system to be assessed.
Adaptability: Is the requirement adaptable? That is,
can the requirement be changed without large-scale
effects on other system requirements?
100. Requirements management
The requirements for large software systems are always
changing.
Requirements management is the process of
understanding and controlling changes to system
requirements.
You need to keep track of individual requirements and
maintain links between dependent requirements so that
you can assess the impact of requirements changes.
You need to establish a formal process for making
change proposals and linking these to system
requirements.
101. Enduring & Volatile requirements
Requirements evolution during the RE process and after
a system has gone into service is inevitable.
102. From an evolution perspective, requirements fall into two
classes:
Enduring requirements: These are relatively stable
requirements that derive from the core activity of the
organization and which relate directly to the domain of the
system.
Volatile requirements: These are requirements that are
likely to change during the system development process or
after the system has been become operational
103. Requirements management planning
Planning is an essential stage in the requirements
management process.
During the requirements management stage, you have
to decide on:
Requirements identification :each requirement
must be uniquely identified.
A change management process :set of activities
that assess the impact and cost of changes.
104. Traceability policies: it define the relation between
the requirements and b/w the req’s and the system
design that should be recorded.
CASE tool support: processing of large amount of
information about the req’s
105. Requirement traceability
Traceability is the property of a requirements specification
that reflects the ease of finding related requirements.
There are three types of traceability information that may
be maintained:
Source traceability information links the requirements
to the stakeholders who proposed the requirements.
Requirements traceability information links dependent
requirements within the requirements document.
Design traceability information links the requirements
to the design modules where these requirements are
implemented
107. Requirement change managements
Requirements change management should be applied
to all proposed changes to the requirements.
The formal process for change management brings a
controlled way for changing requirements.
There are three principal stages to a change
management process:
Problem analysis and change specification:
Change analysis and costing
Change implementation