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1. Software Engineering

   Natallia Kokash email: nkokash@liacs.nl N. Kokash, Software Engineering
2. Introduction Course overview Logistics Literature Practical assignment Evaluation What is Software Engineering? What does Software Engineer do? Software Engineering Processes N. Kokash, Software Engineering
3. Industrial Experience Collaboration with large international companies Thales-France, Telcordia-Poland, PWC. Two years of experience as Software Engineer Development of banking systems NatalliaKokash, researcher at LIACS Research experience Postdoc at Centrum Wiskunde & Informatica (CWI), Amsterdam Ph.D. from University of Trento, Italy (2008) Research in Software Engineering Semantics of Modeling Languages Software Design and Verification Service-Oriented Computing N. Kokash, Software Engineering
4. N. Kokash, Software Engineering
5. What will you learn? Engineering = skill + knowledge This course 70% knowledge and 30% skills Basic concepts & vocabulary of SE Main activities in SE projects Main methods and techniques excluding: programming Guest lectures by professionals N. Kokash, Software Engineering
6. Literature These slides are based on the slides by Prof. Dr. Hans van Vliet 70% - H. van Vliet, Software Engineering: Principles and Practice, 3rd ed., 2008. A. Shalloway and J.R. Trott, “Design Patterns Explained” (2004) WWW Check my course web page http://homepages.cwi.nl/~kokash/courses.html N. Kokash, Software Engineering
7. Course overview N. Kokash, Software Engineering
8. Logistics Check slides by Drs. W. Heijstekhttp://www.liacs.nl/~heijstek/se11-slides/ Lecturer (B.Sc. Informatica & Economie, Den Haag) Dr. NatalliaKokash Lecturer (B.Sc. Informatica, Leiden) Drs. Werner Heijstek Werkgroepdocent, Leiden Christoph Johann Stettina, M.Sc Course Manager Dr. Michel R.V. Chaudron You may take hoorcolleges (but not werkcolleges) at either location The schedule for Leiden can be found at www.liacs.nl N. Kokash, Software Engineering
9. Team of 3-4 people Focus on a proper development process Results: requirements specification, software design, implementation, documentation and testing report Any tools or programming languages (pointers to useful tools & libraries will be given) N. Kokash, Software Engineering
10. Problem Convert a picture of a UML class diagram (.bmp, .jpg) to a UML class diagram in XMI format N. Kokash, Software Engineering
11. Details Retrieve images of UML class diagrams from Google images Recognize basic shapes (rectangles, arrows) Use optical character recognition (OCR) tools to recognize names of classes, attributes, annotations, etc. Create a graph-based representation of a recognized class diagram Write an XMI file N. Kokash, Software Engineering
12. Final evaluation 50% written exam But > 5.5 50% practical assignment 25% Requirement specification 25% Software architecture and design 25% Implementation 25% Quality evaluation N. Kokash, Software Engineering
13. Software Crises “The major cause of the software crisis is that the machines have become several orders of magnitude more powerful! To put it quite bluntly: as long as there were no machines, programming was no problem at all; when we had a few weak computers, programming became a mild problem, and now we have gigantic computers, programming has become an equally gigantic problem.” EdsgerDijkstra, The Humble Programmer, Communications of the ACM (1972) N. Kokash, Software Engineering
14. Who is EdsgerDijkstra? Born in Rotterdam in 1930. Studied theoretical physics at the University of Leiden where he became interested in “programming” Received numerous awards including Turing Award in 1972 1.300+ publications Helped the emancipation of computer science as a science Best known for his "shortest path algorithm” and his hate to the gotooperator. N. Kokash, Software Engineering
15. The crisis manifest Projects running over-budget Projects running over-time Software was very inefficient Software was of low quality Software often did not meet requirements Projects were unmanageableand code difficult to maintain Software was never delivered N. Kokash, Software Engineering
16. The beginning of Software Engineering 1968/69 NATO conferences: introduction of the term Software Engineering Idea: software development is not an art, or a bag of tricks Build software like we build bridges N. Kokash, Software Engineering
17. Definition Software Engineering is the application of a systematic, disciplined, quantifiable approach to the development, operation, and maintenance of software; that is, the application of engineering to software N. Kokash, Software Engineering
18. Famous software failures Military Mariner 1 rocket (1962) Cost: $18.5 million Soviet anti-missile warning system (1983) Patriot missile system (1991) 28 soldiers dead, 100 injured Medicine Therac-25 (1985) (3 dead, 3 critically injured) Radiation therapy software by Multidata Systems (2000) (8 dead, 20 critically injured) N. Kokash, Software Engineering
19. Famous software failures Finance Wall Street Crash (1987) caused by the NYSE computer system EDS Drops Child Support (2004) Cost: £540 million Airspace and flight control ARIANE 5, Flight 501 crash (1996) Cost: $500 million Mars Climate Orbiter crash (1998) Cost: $125 million N. Kokash, Software Engineering
20. ARIANE Flight 501 Disintegration after 39 sec Caused by wrong data being sent to On Board Computer Large correction for attitude deviation Software exception in Inertial Reference System after 36 sec. Overflow in conversion of a variable from 64-bit floating point to 16-bit signed integer Of 7 risky conversions, 4 were protected Reasoning: physically limited, or large margin of safety In case of exception: report failure and shut down N. Kokash, Software Engineering
21. Explanations Inadequate testing Specification does not contain trajectory data In tests, components that measure altitude and movements of the launcher were simulated by software modules Wrong type of reuse If a component works perfectly well in one environment, it doesn’t necessarily do so in another Ariane 5 is much faster than Ariane 4, and horizontal velocity builds up more rapidly  excessive values for parameter in question This software doesn’t have any purpose for the Ariane 5, but was still kept Wrong design philosophy “If something breaks down, it is caused by a random hardware failure” Action: shut down that part There is no provision for design errors! N. Kokash, Software Engineering
22. Further information Ariane 5: IEEE Computer, January 1997, p. 129-130 http://www.cs.vu.nl/~hans/ariane5report.html 20 Famous Software Disasters http://www.devtopics.com/20-famous-software-disasters/ N. Kokash, Software Engineering
23. Is SE = Engineering? Software is logical, rather than physical Progress is hard to see (speed  progress) Software is not continuous Further reading: Henry Petroski, Design Paradigms: Case Histories of Error and Judgement in Engineering A. Spector & D. Gifford, A Computer Science Perspective of Bridge Design, Communication of the ACM 29, 4 (1986) p 267-283 N. Kokash, Software Engineering
24. Quo Vadis? It takes at least 15-20 years for a technology to become mature Software engineering has made tremendous progress There is no silver bullet N. Kokash, Software Engineering
25. The CHAOS report http://www.projectsmart.co.uk/docs/chaos-report.pdf N. Kokash, Software Engineering
26. Famous Engineering Disasters Tacoma Narrows bridge (1940) (1 dog dead) Hyatt Regency Hotel Walkway Collapse (1981) 114 dead, >200 injured N. Kokash, Software Engineering
27. Famous Engineering Disasters Chernobyl Nuclear Power Plant (1986) (at least 5000 dead, 336000 relocated) Air crashes: DC10-S (1979) (271 dead) Aloha Airlines Flight 243 (1988) (1 dead) N. Kokash, Software Engineering
28. Relative distribution of software/ hardware costs 100 Hardware Development 60 Percent of total cost Software 20 Maintenance 1955 1970 1985 Year N. Kokash, Software Engineering
29. Types of Software Custom For a specific customer Generic Sold on open market Often called COTS (Commercial Off The Shelf) Shrink-wrapped Embedded Built into hardware Hard to change N. Kokash, Software Engineering
30. Types of software Real time software E.g. control and monitoring systems Must react immediately Safety often a concern Business Information Systems Data processing Used to run businesses Accuracy and security of data are key N. Kokash, Software Engineering
31. Central themes LARGE programs COMPLEX programs Software EVOLVES Software COSTS Software is developed by TOGETHERby many people Software must EFFECTIVELY support users SE depends on knowledge transfer from DIFFERENT disciplines SE is about finding a BALANCE N. Kokash, Software Engineering
32. Simple life cycle model Problem requirements engineering Requirements specification design Design implementation System testing Workingsystem maintenance N. Kokash, Software Engineering
33. Requirements Engineering Yields a description of the DESIRED system: which functions possible extensions required documentation performance requirements Includes a feasibility study Resulting document: requirements specification N. Kokash, Software Engineering
34. Design Earliest design decisions captured in software architecture Decomposition into parts/components; what are the functions of, and interfaces between, those components? Emphasis on what rather than how Resulting document: specification N. Kokash, Software Engineering
35. Implementation Focus on individual components Goal: a working, flexible, robust, … piece of software Not a bag of tricks Present-day languages have a module and/or class concept N. Kokash, Software Engineering
36. Testing Does the software do what it is supposed to do? Are we building the right system? (validation) Are we building the system right? (verification) Start testing activities in phase 1, on day 1 N. Kokash, Software Engineering
37. Maintenance Correcting errors found after the software has been delivered Adapting the software to changing requirements, changing environments, ... N. Kokash, Software Engineering
38. Global distribution of effort design 15% coding 20% requirements engineering 10% specification 10% testing 45% Rule of thumb: 40-20-40 distribution of effort Trend: enlarge requirements specification/design slots; reduce test slot Beware: maintenance alone consumes 50-75% of total effort N. Kokash, Software Engineering
39. Distribution of maintenance activities corrective 21% perfective 50% adaptive 25% preventive 4% Corrective maintenance: correcting discovered errors Preventive maintenance: correcting latent errors Adaptive maintenance: adapting to changes in the environment Perfective maintenance: adapting to changing user requirements N. Kokash, Software Engineering
40. SE in a nutshell N. Kokash, Software Engineering
41. What does Software Engineer do? in a team interactingwith clients individually Microsoft 1978 programming, documenting, planning, presenting, reviewing, reporting listening, explaining, proving feedback, selling Specializing in different roles designing, programming, testing, brainstormingdiscussingplanning N. Kokash, Software Engineering
42. Hammurabi’s Code 64: If a builder builds a house for a man and does not make its construction firm, and the house which he has built collapses and causes the death of the owner of the house, that builder shall be put to death. … 73: If it cause the death of a son of the owner of the house, they shall put to death a son of that builder. N. Kokash, Software Engineering
43. Software Engineering Ethics Act consistently with the public interest Act in a manner that is in the best interest of the client and employer Ensure that products meet the highest professional standards possible Maintain integrity in professional judgment Managers shall promote an ethical approach Advance the integrity and reputation of the profession Be fair to and supportive of colleagues Participate in lifelong learning and promote an ethical approach N. Kokash, Software Engineering
44. A broader view on SD information planning boundary conditions documentation people software program input output program procedures N. Kokash, Software Engineering
45. Contents of project plan Introduction Process model Organization of project Standards, guidelines, procedures Management activities Risks Staffing Methods and techniques Work packages Resources Quality assurance Budget and schedule Changes Delivery N. Kokash, Software Engineering
46. Project control Time, both the number of man-months and the schedule Information, mostly the documentation Organization, people and team aspects Quality, not an add-on feature; it has to be built in Money, largely personnel N. Kokash, Software Engineering
47. Managing time Measuring progress is hard (“we spent half the money, so we must be halfway”) Development models serve to manage time More people  less time? Brooks’ law: adding people to a late project makes it later N. Kokash, Software Engineering
48. Documentation Technical documentation Current state of projects Changes agree upon … Agile projects: less attention to explicit documentation, more on tacit knowledge held by people Managing information N. Kokash, Software Engineering
49. Managing people Managing expectations Building a team Coordination of work N. Kokash, Software Engineering
50. Quality has to be designed in Quality is not an afterthought Quality requirements often conflict with each other Requires frequent interaction with stakeholders Managing quality N. Kokash, Software Engineering
51. Managing cost Which factors influence cost? What influences productivity? Relation between cost and schedule N. Kokash, Software Engineering
52. Software Development Methods Projects are large and complex A phased approach to control it is necessary Traditional models are document-driven: there is a new pile of paper after each phase is completed Evolutionary models recognize that much of what is called maintenance is inevitable N. Kokash, Software Engineering
53. Waterfall model Requirements eng. V&V Design V&V Implementation V&V Testing V&V Maintenance V&V Iteration Feedback Validation Are we building the right system? Verification Are we building the system right? Requirements are fixed as early as possible N. Kokash, Software Engineering
54. V-model Requirements engineering Acceptance testing Integration testing Global design Detailed design Unit testing Coding Problems Too rigid Developers cannot move between various abstraction levels N. Kokash, Software Engineering
55. Evolutionary model Waterfall Model (Mid 70ies) Evolutionary Models (80ies) Requ. Eng. & Architecting Time Specification Design Increments (Spiral cycles) Implementation Test Iteration Scope N. Kokash, Software Engineering
56. Win-Win Spiral Model (Boehm, 1998) Emphasizes continuous stakeholder alignment 2. Identify stakeholders objectives and win conditions / values Reflect & Learn 3. Reconcile win conditions Establish next-increment objectives, constraints & alternatives 1. Identify next-increment stakeholders 4. Evaluate product and process alternatives Resolve risks 7. Verify & commit 5. Define next-increment of product & process, inclusive partitions 6. Implement product & process definitions N. Kokash, Software Engineering
57. Incremental development A software system is delivered in small increments The waterfall model is employed in each phase The user is closely involved in directing the next steps Incremental development prevents over-functionality N. Kokash, Software Engineering
58. Incremental development delivered system increment 1 design build install evaluate first incremental delivery increment 2 design build install evaluate second incremental delivery design build increment 3 install evaluate thirdincremental delivery Each component delivered must give some benefit to the stakeholders N. Kokash, Software Engineering
59. Velocity tracking Measure team productivity Unit of work – hours, days, story points, ideal days Interval – week, month N. Kokash, Software Engineering
60. Prototyping Requirements elicitation is difficult software is developed because the present situation is unsatisfactory however, the desirable new situation is as yet unknown Used to obtain the requirements of some aspects of the system Should be a relatively cheap process use rapid prototyping languages and tools not all functionality needs to be implemented production quality is not required N. Kokash, Software Engineering
61. Prototyping as a tool for SE Requirements engineering design design implementation implementation testing testing maintenance N. Kokash, Software Engineering
62. Prototyping approaches Throwaway prototyping: the n-th prototype is followed by a waterfall-like process Evolutionary prototyping: the n-th prototype is delivered N. Kokash, Software Engineering
63. Prototyping, advantages The resulting system is easier to use User needs are better accommodated The resulting system has fewer features Problems are detected earlier The design is of higher quality The resulting system is easier to maintain The development incurs less effort N. Kokash, Software Engineering
64. Prototyping, disadvantages The resulting system has more features The performance of the resulting system is worse The design is of less quality The resulting system is harder to maintain The prototyping approach requires more experienced team members N. Kokash, Software Engineering
65. Recommendations for prototyping The users and the designers must be well aware of the issues and the pitfalls Use prototyping when the requirements are unclear Prototyping needs to be planned and controlled as well N. Kokash, Software Engineering
66. The plan N. Kokash, Software Engineering
67. Reality N. Kokash, Software Engineering
68. Recent developments Rise of agile methods Shift from producing software to using software Software development becomes more heterogeneous Success of open source software N. Kokash, Software Engineering
69. The Agile Manifesto (2001) “We are uncovering better ways of developing software by doing it and helping others do it. Through this work we have come to value: Individuals and interactions over processes and tools Working software over comprehensive documentation Customer collaboration over contract negotiation Responding to change over following a plan That is, while there is value in the items on the right, we value the items on the left more.” . N. Kokash, Software Engineering
70. 12 principles of Agile SE: N. Kokash, Software Engineering
71. Popular agile methods Rapid Application Development (RAD) & Dynamic System Development Method (DSDM) Extreme Programming (XP) Feature Driven Development (FDD) Unified Processes: Agile Unified Process (AUP) Open Unified Process (OpenUP)/Basic Essential Unified Process (EssUP) Scrum N. Kokash, Software Engineering
72. RAD Evolutionary development, with time boxes: fixed time frames within which activities are done; Time frame is decided upon first, then one tries to realize as much as possible within that time frame; Other elements: Joint Requirements Planning (JRD) and Joint Application Design (JAD), workshops in which users participate; Requirements prioritization through a triage; Development in aSWATteam: Skilled Workers with Advanced Tools N. Kokash, Software Engineering
73. DSDM Fundamental idea: fix time and resources (timebox), adjust functionality accordingly One needs to be a member of the DSDM consortium Dynamic Systems Development Method, #1 RAD framework in UK N. Kokash, Software Engineering
74. DSDM phases Feasibility: delivers feasibility report and outline plan, optionally fast prototype (few weeks) Business study: analyze characteristics of business and technology (in workshops), delivers System Architecture Definition Functional model iteration: time-boxed iterative, incremental phase, yields requirements Design and build iteration Implementation: transfer to production environment N. Kokash, Software Engineering
75. DSDM practices Iterative, incremental development All changes are reversible Requirements baselined at high level Testing integrated in life cycle Collaborative, cooperative approach shared by all stakeholders is essential Active user involvement is imperative Empowered teams Frequent delivery of products Acceptance determined by fitness for business purpose N. Kokash, Software Engineering
76. Extreme Programming (XP) Everything is done in small steps The system always compiles, always runs Client as the center of development team Developers have same responsibility w.r.t. software and methodology N. Kokash, Software Engineering
77. 13 practices of XP N. Kokash, Software Engineering
78. Differences N. Kokash, Software Engineering
79. Heterogeneity Old days: Software development department had everything under control Nowadays: Teams scattered around the globe Components acquired from others Includes open source parts Services found on the Web N. Kokash, Software Engineering
80. Producing software means using software! Builders build pieces, integrators integrate them Component-Based Development (CBSD) Software Product Lines (SPL) Commercial Off-The-Shelves (COTS) Service Orientation (SOA) N. Kokash, Software Engineering
81. Software engineering is a balancing act, where trade-offs are difficult Solutions are not right or wrong; at most they are better or worse Most of maintenance is (inevitable) evolution SD project control concerns: time, information, organization, quality, money There are many lifecycle models Agile projects do less planning than document-driven projects N. Kokash, Software Engineering
82. Homework Which SE model is the most suitable for the assignment project and why? Write down your development plan Use RUP Software Development Plan template Read chapters 1,2 & 3.1-3.2 N. Kokash, Software Engineering
83. Software Engineering (3rd Ed.) 1. Introduction 2. Introduction to Software Engineering Management 3. The Software Life Cycle Revisited 4. Configuration Management 5. People Management and Team Organization 6. On Managing Software Quality 7. Cost Estimation 8. Project Planning and Control 9. Requirements Engineering 10. Modeling 11. Software Architecture 12. Software Design 13. Software Testing 14. Software Maintenance 17. Software Reusability 18. Component-Based Software Engineering 19. Service Orientation 20. Global Software Development N. Kokash, Software Engineering