1. INTROSE Introduction to Software Engineering Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph Software: Definitions, Myths, and Process Models

2. What is software? Software is a set (configuration) of computer programs and associated documentation and data. (Sommerville, 2001)

3. What is software? Software can be…  System software  Business software  Engineering and scientific software  Embedded software  Personal productivity software  Web-based software (Web apps)  Artificial intelligence software

4. What is software? Software…  Is engineered, not manufactured  Doesn’t wear out, but it does deteriorate (see next slide)  Is still usually custom-built, though reusable components that are reliable and easy to use are steadily increasing

5. Wear vs. Deterioration From (Pressman, 2001)

6. Software Myths Management myths: All that my people need to develop good software are state-of-the-art computers. All that my people need to develop good software are documented in a book of standards and procedures. If we get behind schedule, we simply add more programmers. If I decide to outsource a software development project to another firm, I can just relax and let that firm do it.

7. Software Myths Customer myths: A general statement of objectives is sufficient to begin writing programs – we can fill in the details later. Project requirements continually change, but change can be easily accommodated because software is flexible.

8. Software Myths Practitioner’s myths: Once we write the program and get it to work, our job is done. Until I get the program “running”, I have no way of assessing its quality. The only deliverable work product for a successful project is the working program. Software engineering will make us create voluminous and unnecessary documentation and will invariably slow us down.

9. What is software engineering? Software engineering is the production of quality software (and the study of approaches to all aspects thereof).

10. Software Process A software process is a set of activities that produce a software product.

11. Generic Software Activities Specification  Planning  Requirements analysis Development  Design  Coding  Verification and validation Maintenance (a.k.a. Evolution)  Correction  Adaptation  Enhancement

12. Support Software Activities Complementing the generic software processes are the following umbrella activities: Software project tracking and control Formal technical reviews Software quality assurance Software configuration management Document preparation and production Measurement Risk management

13. Software Process Model A software process model is a simplified description of a software process.

14. Some Software Process Models Some software process models:  Linear  Evolutionary  Iterative Incremental Spiral Unified Process Agile  Formal

15. Some Software Process Models 1.Linear (a.k.a. Waterfall) – oldest and most widely used From (Sommerville, 2001)

16. Some Software Process Models Drawbacks of the Waterfall model: It is often difficult for customers to state all requirements explicitly.  Accommodating change is difficult in Waterfall.  Therefore this model is appropriate only when requirements are well understood. The customer must have patience.

17. Some Software Process Models 2.Evolutionary From (Pressman, 2001)

18. Some Software Process Models Drawbacks of the Evolutionary Prototyping model The customer might think that only a few fixes need to be made to transform the working prototype to a working product. The developer might get so used to hastily made prototype implementation decisions (e.g., an inefficient algorithm) that he becomes lazy to change these to more appropriate/efficient ones.

19. Some Software Process Models 3.Incremental (Iterative) From (Pressman, 2001)

20. Some Software Process Models 4.Spiral (Iterative) From (Boehm, 2006)

21. Some Software Process Models 5.Unified Process (Iterative)

22. Some Software Process Models 6.XP (Iterative)

23. Some Software Process Models 6.XP (Iterative)

24. Some Software Process Models Other generic process models:  Formal methods – used when a mathematical specification is to be developed  Component assembly – used when reuse is a development objective

25. Impact of Process Model If appropriate,  can improve: development speed quality tracking & control client relations  can minimize: overhead risk exposure If inappropriate,  can make some work: slow unnecessary redundant frustrating

26. Brooks’ “No Silver Bullet” Software engineering involves:  Essential tasks The fashioning of the complex conceptual structures that compose the abstract software entity  Accidental tasks The representation of these abstract entities in programming languages and the mapping of these onto machine languages within space and speed constraints

27. Brooks’ “No Silver Bullet”  For “accidental” tasks, increase productivity through automation  For “essential” tasks, increase productivity through: Great designers Rapid prototyping Evolutionary development Software reuse