The document discusses several software development life cycle (SDLC) models: the waterfall model, structured evolutionary prototyping, the incremental model, and the spiral model. The waterfall model involves sequential phases of requirements, design, implementation, and testing. Structured evolutionary prototyping uses iterative prototyping and user feedback to refine requirements. The incremental model delivers basic functionality early and evolves it over time. The spiral model incorporates risk analysis and prototyping into iterative waterfall cycles. Each model has strengths and weaknesses for different types of projects.
2. SDLC Model
A framework that describes the activities
performed at each stage of a software
development project.
3. Waterfall Model
Requirements defines needed
information, function, behavior,
performance and interfaces.
Design data structures, software
architecture, interface
representations, algorithmic
details.
Implementation source code,
database, user documentation,
testing.
4. Waterfall Strengths
Easy to understand, easy to use
Provides structure to inexperienced staff
Milestones are well understood
Sets requirements stability
Good for management control (plan, staff, track)
Works well when quality is more important than cost
or schedule
5. Waterfall Deficiencies
All requirements must be known upfront
Deliverables created for each phase are considered
frozen inhibits flexibility
Can give a false impression of progress
Does not reflect problem-solving nature of software
development iterations of phases
Integration is one big bang at the end
Little opportunity for customer to preview the
system (until it may be too late)
6. Structured Evolutionary Prototyping Steps
A preliminary project plan is developed
An partial high-level paper model is created
The model is source for a partial requirements specification
A prototype is built with basic and critical attributes
The designer builds
the database
user interface
algorithmic functions
The designer demonstrates the prototype, the user evaluates
for problems and suggests improvements.
This loop continues until the user is satisfied
7. Structured Evolutionary Prototyping
Strengths
Customers can see the system requirements as
they are being gathered
Developers learn from customers
A more accurate end product
Unexpected requirements accommodated
Allows for flexible design and development
Steady, visible signs of progress produced
Interaction with the prototype stimulates awareness
of additional needed functionality
8. Structured Evolutionary Prototyping
Weaknesses
Tendency to abandon structured program
development for code-and-fix development
Bad reputation for quick-and-dirty methods
Overall maintainability may be overlooked
The customer may want the prototype delivered.
Process may continue forever (scope creep)
9. When to use the Incremental Model
Risk, funding, schedule, program complexity, or need
for early realization of benefits.
Most of the requirements are known up-front but
are expected to evolve over time
A need to get basic functionality to the market early
On projects which have lengthy development
schedules
On a project with new technology
10. Spiral SDLC Model
Adds risk analysis, and
prototyping to the
waterfall model
Each cycle involves the
same sequence of steps
as the waterfall process
model
11. Spiral Quadrant
Determine objectives, alternatives and constraints
Objectives: functionality, performance, hardware/software
interface, critical success factors, etc.
Alternatives: build, reuse, buy, sub-contract, etc.
Constraints: cost, schedule, interface, etc.
12. Spiral Quadrant
Evaluate alternatives, identify and resolve risks
Study alternatives relative to objectives and constraints
Identify risks (lack of experience, new technology, tight
schedules, poor process, etc.
Resolve risks (evaluate if money could be lost by continuing
system development
14. Spiral Quadrant
Plan next phase
Typical activities
Develop project plan
Develop configuration management plan
Develop a test plan
Develop an installation plan
15. Spiral Model Strengths
Provides early indication of insurmountable risks,
without much cost
Users see the system early because of rapid
prototyping tools
Critical high-risk functions are developed first
The design does not have to be perfect
Users can be closely tied to all lifecycle steps
Early and frequent feedback from users
Cumulative costs assessed frequently
16. Spiral Model Weaknesses
Time spent for evaluating risks too large for small or low-risk
projects
Time spent planning, resetting objectives, doing risk analysis
and prototyping may be excessive
The model is complex
Risk assessment expertise is required
Spiral may continue indefinitely
Developers must be reassigned during non-development
phase activities
May be hard to define objective, verifiable milestones that
indicate readiness to proceed through the next iteration
17. When to use Spiral Model
When creation of a prototype is appropriate
When costs and risk evaluation is important
For medium to high-risk projects
Long-term project commitment unwise because of
potential changes to economic priorities
Users are unsure of their needs
Requirements are complex
New product line
Significant changes are expected (research and
exploration)