Software process life cycles CSE 432: Object-Oriented

Software process life cycles CSE 432: Object-Oriented Software Engineering

Software and entropy A virtue of software: relatively easy to change Nevertheless, the more complex a software system gets, the harder it is to change--why? Otherwise it might as well be hardware Larger software systems are harder to understand The more changes get introduced into a system, the more it tends toward entropy I.e., its internal order breaks down Multimedia: http://www.cse.lehigh.edu/ cimel/prototype.html

Planning for change How can good comments facilitate and reduce the cost of software maintenance? Hint: think about invariants, things that don’t change. Comments describe meaning of code Assuming programmers maintain comments when they change the code! How can modularity help manage change? Modules help to isolate and localize change

A software process requires resources

A software life cycle is a process A process involves activities, constraints and resources that produce an intended output. Each process activity, e.g., design, must have entry and exit criteria—why? A process uses resources, subject to constraints (e.g., a schedule or a budget) A process is organized in some order or sequence, structuring activities as a whole A process has a set of guiding principles or criteria that explain the goals of each activity

Waterfall model of software process Multimedia: stages in the process Cascades from one stage down to the next, in stately, lockstep, glorious order. Gravity only allows the waterfall to go downstream; it’s very hard to swim upstream Department of Defense contracts prescribed this model for software deliverables for many years, in DOD Standard 2167-A.

Why would corporate manager types like the waterfall life cycle model? Minimizes change, maximizes predictability Costs and risks are more predictable Each stage has milestones and deliverables: project managers can use to gauge how close project is to completion Sets up division of labor: many software shops associate different people with different stages: Systems analyst does analysis, Architect does design, Programmers code, Testers validate, etc.

Testing in the waterfall model Let’s look at more Pfleeger’s version of waterfall model What kind of arrows are missing? Is this diagram a more realistic picture? Many waterfall models show 5 stages—why more here? What’s the difference between unit and system testing? Between system and acceptance testing? Is this view of the process a good idea? The reality is that not only does software change, but change happens during the process Realistic models are not strictly linear, but allow for cycles Bear in mind, however, that more cycles mean more costs

More drawbacks of the waterfall model Offers no insight into how how does each activity transform one artifacts (documents) of one stage into another For example, requirements specification design documents? Fails to treat software a problem-solving process Unlike hardware, software development is not a manufacturing but a creative process Manufacturing processes really can be linear sequences, but creative processes usually involve back-and-forth activities such as revisions Software development involves a lot of communication between various human stakeholders Nevertheless, more complex models often embellish the waterfall, incorporating feedback loops and additional activities

Prototyping This model adds prototyping as sub-process A prototype is a partially developed product that enables customers and developers to examine some aspect of a proposed system and decide if it is suitable for a finished product Why add prototypes to the life cycle? Used to explore the risky aspects of the system: Risk of developing the “wrong” system (what customer doesn’t want), can be a user interface without functionality Other technical risks – e.g. performance, using a new technology, alternative algorithms, etc. Prototype may be thrown away or evolve into product

V model Developed by the German Ministry of Defense What does this model highlight? Unit and system testing verify the program design, ensuring that parts and whole work correctly Acceptance testing, conducted by the customer rather than developers, validates the requirements, tying each system function meets a particular requirement in the specification How does this model account for cycles? If problems are found during verification or validation, then re-execute left side of V to make fixes and improvements While the waterfall emphasizes documents and artifacts, the V model emphasizes activities and correctness

Balzer’s transformational model Tries to reduce error in most software processes by: eliminating development steps, emphasizing formal specifications, and using automated support to facilitate transformations from specification to deliverable system Hitch: the need for a formal specification precise enough for automated transformations We’ll see that even semi-formal specifications can help with other software life cycles

Phased development Nowadays, customers are less willing to wait years for a software system to be ready So it’s necessary to reduce the cycle time of software products In 1996, 80% of HP’s revenues derived from products developed in previous two years How is this accelerated cycle time made possible? Phased development reduces cycle time Design a system so it can be delivered in pieces, letting users have some functionality while the rest is under development So there are usually two or more systems in parallel: The operational or production system in use by customers The development system which will replace the current release As users use Release n, developers are building Release n 1

Iterative and incremental Incremental development partitions a system by functionality process Early release starts with small, functional subsystem, later releases add functionality Top part of this figure shows how incremental development builds up to full functionality Iterative development improves overall system in each release Delivers a full system in the first release, then changes the functionality of each subsystem with each new release Suppose a customer wants to develop a word processing package Incremental approach: provide just Creation functions in Release 1, then both Creation and Organization in Release 2, finally add Formatting in Release 3, Iterative approach: provide primitive forms of all three functions in Release 1, then enhance (making them faster, improving the interface, etc.) in subsequent releases Pros and cons of these two approaches? Many organizations combine iterative and incremental approaches

Quiz! What are drawbacks of Waterfall Model? Can prototypes alleviate these drawbacks? Why or why not? Is the V model more realistic? Is it realistic enough? Why do many software development shops prefer phased and/or iterative & incremental models? Does this discussion motivate you learn to avoid just hacking?

Rational Unified Process (RUP) Developed by “three amigos” at Rational Software (IBM) Grady Booch, Ivar Jacobson, and Jim Rumbaugh Unified Modeling Language (UML) is a set of graphical and linguistic notations for modeling systems, not a process or method The three amigos also developed Rational Unified Process (RUP) You don’t have to use RUP to use UML Interestingly different from the traditional waterfall model Highly iterative and incremental process Software product is not released in one big bang at end of project Instead, developed and released in pieces (prototypes, partial releases, beta, etc.)

Agile Methods Typically lightweight WRT commitment to phases and documentation Versus waterfall models which require “heavy” documentation of each phase before proceeding Flexible, Adaptable, Iterative Examples: RUP or UP, Extreme Programming (XP), Scrum

How do traditional stages iterate? Workflows look traditional, but they iterate in four phases

Lifecycle Phases Inception – “Daydream” Elaboration – “Design/Details” Construction – “Do it” Transition – “Deploy it” Phases are not the classical requirements/ design/coding/implementation processes Phases iterate over many cycles

Inception Elaboration During inception, establish business rationale and scope for project Business case: how much it will cost and how much it will bring in? Scope: try to get sense of size of the project and whether it’s doable Creates a vision and scope document at a high level of abstraction In elaboration, collect more detailed requirements and do high-level analysis and design Inception gives you the go-ahead to start a project, elaboration determines the risks Requirement risks: big danger is that you may build the wrong system Technological risks: can the technology actually do the job? will the pieces fit together? Skills risks: can you get the staff and expertise you need? Political risks: can political forces get in the way? Develop use cases, non-functional requirements & domain model

Construction Transition Construction builds production-quality software in many increments, tested and integrated, each satisfying a subset of the requirements of the project Delivery may be to external, early users, or purely internal Each iteration contains usual life-cycle phases of analysis, design, implementation and testing Planning is crucial: use cases and other UML documents Transition activities include beta testing, performance tuning (optimization) and user training No new functionality unless it’s small and essential Bug fixes are OK

UP phases are iterative & incremental Inception Feasibility phase and approximate vision Elaboration Core architecture implementation, high risk resolution Construction Implementation of remaining elements Transition development cycle Beta tests, deployment inc. iteration phase elaboration construction transition

UP artifacts The UP describes work activities, which result in work products called artifacts Examples of artifacts: Vision, scope and business case descriptions Use cases (describe scenarios for user-system interactions) UML diagrams for domain modeling, system modeling Source code (and source code documentation) Web graphics Database schema

Milestone for first Elaboration At start of elaboration, identify part of the project to design & implement After first elaboration, project is, say, 1/5th done Can then provide estimates for rest of project A typical and crucial scenario (from a use case) Significant risks are identified and understood How is such a milestone different from a stage in the waterfall model?

Process disciplines or workflows Requirements analysis Design: architectural and class levels Implementation Testing Management – Configuration and change – Project Most of the process workflows occur during each iteration

What does diagram imply about UP? How can iterations reduce risk or reveal problems?

Another Quiz! What are the four lifecycle phases of UP? What happens in each? What are the process disciplines? What are some major differences between distinguishes UP and the waterfall model?