A study of the multi-objective next release problem

Proceedings - 1st International Symposium on Search Based Software Engineering, SSBSE 2009

Volumn , Issue , 2009, Pages 49-58

  Durillo, J J ^a   Zhang, Y ^b   Alba, E ^a   Nebro, A J ^a  

^a UNIVERSITY OF MÁLAGA   (Spain)

^b KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COST REQUIREMENTS; MINIMUM COST; MULTI OBJECTIVE; MULTI-OBJECTIVE METAHEURISTICS; NSGA-II; OPTIMAL SOLUTIONS; SOFTWARE COMPANY; TOTAL COSTS; TWO-STATE;

COMPUTER SOFTWARE; CUSTOMER SATISFACTION; OPTIMAL SYSTEMS; SALES;

MULTIOBJECTIVE OPTIMIZATION;

EID: 70349297256     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSBSE.2009.21     Document Type: Conference Paper

References (19)

1. Bagnall, A., Rayward-Smith, V., and Whittley, I. The next release problem. Information and Software Technology 43, 14 (Dec. 2001), 883-890.
2. Coello Coello, C. A., Van Veldhuizen, D. A., and Lamont, G. B. Evolutionary Algorithms for Solving Multi-Objective Problems. Kluwer Academic Publishers, New York, May 2002.
3. Deb, K. Multi-Objective Optimization Using Evolutionary Algorithms. Wiley, Chichester, UK, 2001.
4. Deb, K., Pratap, A., Agarwal, S., and Meyarivan, T. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE TEC 6, 2 (Apr. 2002), 182-197.
5. Durillo, J.J., Nebro, A.J., Luna, F., Dorronsoro, B., and Alba, E. jMetal: A Java Framework for Developing Multi-Objective Optimization Metaheuristics. Tech. Rep. ITI-2006-2010, Dept. de Lenguajes y Ciencias de la Computación, University of Málaga.
6. Glover, F. W., and Kochenberger,G. A. Handbook of Metaheuristics. Kluwer, 2003.
7. Greer, D., and Ruhe, G. Software release planning: an evolutionary and iterative approach. Information & Software Technology 46, 4 (2004), 243-253.
8. Harman, M. The current state and future of Search Based Software Engineering. In FOSE 2007.
9. Harman, M., and Jones, F. B. Search Based Software Engineering. Information and Software Technology 43, 14 (2001), 833-839.
10. Hochberg, Y., and Tamhane, A. C. Multiple Comparison Procedures. Wiley, 1987.
11. Karlsson, J., Wohlin, C., and Regnell, B. An evaluation of methods for priorizing software requirements. Information and Software Technology 39 , (1998), 939-947.
12. Nebro, A. J., Durillo, J. J., Luna, F., Dorronsoro, B., and Alba, E. A Cellular Genetic Algorithm for Multiobjective Optimization. Proceedings of NICSO 2006.
13. Nebro, A. J., Durillo, J. J., Luna F, Dorronsoro, B, and Alba, E. Design issues in a multi-objective cellular genetic algorithm. EMO 2007.
14. Nebro, A. J., Durillo, J. J., Luna, F., and Dorronsoro, B., and Alba, E. MOCell: A Cellular Genetic Algorithm for Multiobjective Optimization. International Journal of Intelligent Systems (to appear), 2008.
15. Papadimitriou, C. H., and Steiglitz, K. Combinatorial Optimization: Algorithms and Complexity. Dover, 1998.
16. Szidarovsky, F., Gershon, M. E., and Dukstein, L. Techniques for multi-objective decision making in systems management. Elsevier, New York, 1986.
17. Zhang, Y., Harman, M., and Mansouri, A. S. The Multi-Objective Next Release Problem. In GECCO 2007.
18. Zitzler, E., Laumanns, M., Thiele, L. SPEA2: Improving the Strength Pareto Evolutionary Algorithm. Tech. Rep. 103, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH), Zurich, Switzerland.
19. Zitzler, E., Thiele, L. Multiobjective Evolutionary Algorithms: A Comparative Case Study and the and the Strength Pareto Approach. IEEE TEC 3(4):257-271.