Understanding clusters of optimal solutions in multi-objective decision problems

Proceedings of the 2011 IEEE 19th International Requirements Engineering Conference, RE 2011

Volumn , Issue , 2011, Pages 89-98

  Veerappa, Varsha ^a   Letier, Emmanuel ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Cost value based requirements selection; hierarchical clustering; multi objective decision making; search based software engineering

Indexed keywords

COST-VALUE BASED REQUIREMENTS SELECTION; DECISION MAKERS; HIERARCHICAL CLUSTERING; INDUSTRIAL PROBLEM; MULTI OBJECTIVE DECISION MAKING; MULTIOBJECTIVE DECISION; NONDOMINATED SOLUTIONS; OPTIMAL SOLUTIONS; PARETO FRONT; SEARCH-BASED; SEARCH-BASED SOFTWARE ENGINEERING; SOLUTION SPACE;

DECISION MAKING; DESIGN; PARETO PRINCIPLE; REQUIREMENTS ENGINEERING; SOFTWARE ENGINEERING;

OPTIMAL SYSTEMS;

EID: 82455210669     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RE.2011.6051654     Document Type: Conference Paper

References (29)

1. J. Karlsson and K. Ryan, "A cost-value approach for prioritizing requirements," IEEE software, vol. 14, 1997, pp. 67-74.
2. P. Baker, M. Harman, K. Steinhofel, and A. Skaliotis, "Search based approaches to component selection and prioritization for the next release problem," Software Maintenance, 2006. ICSM'06. 22nd IEEE International Conference on, 2006, pp. 176-185.
3. M. Feather and T. Menzies, "Converging on the optimal attainment of requirements," Requirements Engineering, 2002. Proceedings. IEEE Joint International Conference on, 2002, pp. 263-270.
4. M. Harman, J. Krinke, J. Ren, and S. Yoo, "Search based data sensitivity analysis applied to requirement engineering,"Proceedings of the 11th Annual conference on Genetic and evolutionary computation, New York, NY, USA: ACM, 2009, pp. 1681-1688.
5. A. Finkelstein, M. Harman, S.A. Mansouri, J. Ren, and Y. Zhang, ""Fairness Analysis" in Requirements Assignments," Proceedings of the 2008 16th IEEE International Requirements Engineering Conference, IEEE Computer Society, 2008, pp. 115-124.
6. T. Aittokoski, S. Ayramo, and K. Miettinen, "Clustering aided approach for decision making in computationally expensive multiobjective optimization," Optimization Methods & Software, vol. 24, Apr. 2009, pp. 157-174.
7. Y. Zhang, A. Finkelstein, and M. Harman, "Search based requirements optimisation: Existing work and challenges,"Requirements Engineering: Foundation for Software Quality, 2008, pp. 88-94.
8. V. Veerappa and E. Letier, "Clustering Stakeholders for Requirements Decision Making," Requirements Engineering: Foundation for Software Quality, 2011.
9. Y. Zhang, "Multi-Objective Search-based Requirements Selection and Optimisation," Department of Computer Science, King's College London, 2010.
10. S.L. Lim, "Social Networks and Collaborative Filtering for Large-Scale Requirements Elicitation.," School of Computer Science and Engineering, University of New South Wales, 2010.
11. G. Gay, T. Menzies, O. Jalali, G. Mundy, B. Gilkerson, M. Feather, and J. Kiper, "Finding robust solutions in requirements models,"Automated Software Engineering, vol. 17, Mar. 2010, pp. 87-116.
12. J. Morse, "Reducing the size of the nondominated set: Pruning by clustering," Computers & Operations Research, vol. 7, 1980, pp. 55-66.
13. M.A. Rosenman and J.S. Gero, "Reducing the pareto optimal set in multicriteria optimization.," Engineering Optimization, vol. 8, 1985, p. 189.
14. C.A. Mattson, A.A. Mullur, and A. Messac, "Smart Pareto filter: obtaining a minimal representation of multiobjective design space, "Engineering Optimization, vol. 36, 2004, p. 721.
15. B. Boehm, A. Egyed, J. Kwan, D. Port, A. Shah, and R. Madachy, "Using the WinWin spiral model: a case study," Computer, vol. 31, 1998, pp. 33-44. (Pubitemid 128550821)
16. L. Chung, B.A. Nixon, E. Yu, and J. Mylopoulos, Non-Functional Requirements in Software Engineering, Springer, 1999.
17. P. Checkland and J. Poulter, Learning for Action: A Short Definitive Account of Soft Systems Methodology, and Its Use Practitioners, Teachers and Students, John Wiley & Sons, 2006.
18. E. Letier and A.V. Lamsweerde, "Reasoning about partial goal satisfaction for requirements and design engineering," Newport Beach, CA, USA: ACM, 2004, pp. 53-62.
19. D. Greer and G. Ruhe, "Software release planning: an evolutionary and iterative approach," INFORMATION AND SOFTWARE TECHNOLOGY, vol. 46, 2004, pp. 243-253.
20. A. Finkelstein, M. Harman, S.A. Mansouri, J. Ren, and Y. Zhang, "A search based approach to fairness analysis in requirement assignments to aid negotiation, mediation and decision making,"Requirements Engineering, vol. 14, 2009, pp. 231-245.
21. D. Parnas, "Designing Software for Ease of Extension and Contraction," IEEE Transactions on Software Engineering, vol. SE-5, 1979, pp. 128-138.
22. P. Jaccard, "Nouvelles recherches sur la distribution florale.,"Bulletin de la Société Vaudoise des Sciences Naturelles., 1908, pp. 223-270.
23. B. Everitt, L. SABINE, L. MORVEN, and M. Leese, Cluster Analysis, Hodder Arnold, 2001.
24. R. Mojena, "Hierarchical Grouping Methods and Stopping Rules: An Evaluation," Computer Journal, vol. 20, 1977, pp. 353-363.
25. L.J. Hubert and J.R. Levin, "A general statistical framework for assessing categorical clustering in free recall," Psychological Bulletin, vol. 83, Nov. 1976, pp. 1072-1080.
26. L. Hubert and P. Arabie, "Comparing partitions," Journal of Classification, vol. 2, 1985, pp. 193-218.
27. M. Harman, "The Current State and Future of Search Based Software Engineering," 2007 Future of Software Engineering, Washington, DC, USA: IEEE Computer Society, 2007, pp. 342-357.
28. IBM Focal Point, http://www.ibm.com/software/awdtools/focalpoint/ (Last accessed June 2011)
29. Release Planner, http://www.releaseplanner.com/ (Last accessed June 2011)