ID2002 Value-Based Software Engineering 7,5 hp

- Value-based versus value-neutral software engineering

- Concurrent software and system engineering. Model-based architecting and software system engineering

- Value-based monitoring and control of software products and product lines

- Stakeholders value propositions and reconciliation

- Continuous risk and opportunity management

- Cost-benefit and business case analyses of software products and product lines

- Comparative analyses of modern software management and development methods. Balancing agility and discipline: risk-based methodology and process

- Software cost modeling and estimation techniques: past, present, and future.

- Performance models, cost-effectiveness models, software production functions, decision criteria

- Net value, present value, figures of merit

- System reliability and availability, mathematical optimization techniques, software analysis, copying with unreconciliable goals

- Risk, uncertainty, and the value of information.

The course is an advanced software engineering course focused on deeper studies in specific software management and economics topics, and the emerging value-based software engineering paradigm. The learning objectives of the course are to enable the students to get knowledge about:

- Research and trends in value-based software engineering - Major value-based software engineering concepts and techniques and how they address current and emerging software engineering challenges, opportunities, and problem areas - Applying the concepts and techniques to representative case studies - Understanding how different types of models are integrated in modern software development - Fundamental principles of software management and economics - Analyzing performance/cost/schedule tradeoffs via modern software cost estimation tools and microeconomic techniques - Performing comparative analyses of modern software management and development methods; Balancing agility and discipline in software development- Applying decision analysis models and techniques in software engineering to support the value-based paradigm.

Grundläggande kurs i programvaruteknik
Betygsskala: A/B/C/D/E/Fx/F

Value-Based Software Engineering, S.Biffl,A.Aurum,B.Boehm,H.Erdogmus,P.Grunbacher (Eds.)

Upplaga: Förlag: Springer-Verlag År: 2006

ISBN: 3-540-25993-7

Övrig litteratur

Required reading

A.J. Stoica: Value-Based Software Engineering (Compendium)

Recommended reading

S. Biffl, A.Aurum, B.Boehm, H. Erdogmus, P. Grunbacher: Value-Based

Software Engineering, Springer Verlag, 2006

B. Boehm and R. Turner: Balancing Agility and Discipline in Software

Development, Addison Wesley, 2003

J. Highsmith: Agile Software Development Ecosystems, Addison Wesley, 2003

D. Ahern, A.Clouse, and R. Turner: CMMI Distilled, Addison Wesley, 2001

D. Reifer: Business Case Analysis, Addison Wesley, 2001

B. Boehm et al.: Software Cost Estimation with COCOMO II, Prentice Hall, 2000

J.Thorp and DMR: The Information Paradox, McGraw Hill, 1998

B. Boehm: Software Engineering Economics, Prentice Hall, 1981

När kurs inte längre ges har student möjlighet att examineras under ytterligare två läsår.

• PRO1 - Assignment, 4,5 hp, betygsskala: P, F
• TEN1 - Examination, 3,0 hp, betygsskala: A, B, C, D, E, FX, F

Examinator beslutar, baserat på rekommendation från KTH:s handläggare av stöd till studenter med funktionsnedsättning, om eventuell anpassad examination för studenter med dokumenterad, varaktig funktionsnedsättning.

Examinator får medge annan examinationsform vid omexamination av enstaka studenter.

Written examination (TEN1; 3.0 p). ). Group assignments/project (PRO1; 4.5 p).

• Vid grupparbete har alla i gruppen ansvar för gruppens arbete.
• Vid examination ska varje student ärligt redovisa hjälp som erhållits och källor som använts.
• Vid muntlig examination ska varje student kunna redogöra för hela uppgiften och hela lösningen.

Kursen utvärderas och utvecklas i enlighet med KTH:s policy för Kursanalys (se KTH-Handbok 2, Flik 14.1)