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Scheduling in Software Development Using Multiobjective Evolutionary Algorithms

In: Multidisciplinary Scheduling: Theory and Applications

Author

Listed:
  • Thomas Hanne

    (Fraunhofer Institute for Industrial Mathematics (ITWM))

  • Stefan Nickel

    (Fraunhofer Institute for Industrial Mathematics (ITWM))

Abstract

We consider the problem of planning inspections and other tasks within a software development (SD) project with respect to the objectives quality (no. of defects), project duration, and costs. The considered model of SD processes comprises the phases of coding, inspection, test, and rework and includes assigning tasks to persons and generating a project schedule. Based on this model we discuss a multiobjective optimisation problem. For solving the problem (i.e., finding an approximation of the efficient set) we develop a multiobjective evolutionary algorithm. Details of the algorithm are discussed as well as results of its application to sample problems.

Suggested Citation

  • Thomas Hanne & Stefan Nickel, 2005. "Scheduling in Software Development Using Multiobjective Evolutionary Algorithms," Springer Books, in: Graham Kendall & Edmund K. Burke & Sanja Petrovic & Michel Gendreau (ed.), Multidisciplinary Scheduling: Theory and Applications, pages 57-81, Springer.
    • Handle: RePEc:spr:sprchp:978-0-387-27744-8_4
    DOI: 10.1007/0-387-27744-7_4
    as

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