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Empirical Software Engineering

, Volume 20, Issue 3, pp 577–610 | Cite as

Multi-objective ant colony optimization for requirements selection

  • José del Sagrado
  • Isabel M. del Águila
  • Francisco J. Orellana
Article

Abstract

The selection of a set of requirements between all the requirements previously defined by customers is an important process, repeated at the beginning of each development step when an incremental or agile software development approach is adopted. The set of selected requirements will be developed during the actual iteration. This selection problem can be reformulated as a search problem, allowing its treatment with metaheuristic optimization techniques. This paper studies how to apply Ant Colony Optimization algorithms to select requirements. First, we describe this problem formally extending an earlier version of the problem, and introduce a method based on Ant Colony System to find a variety of efficient solutions. The performance achieved by the Ant Colony System is compared with that of Greedy Randomized Adaptive Search Procedure and Non-dominated Sorting Genetic Algorithm, by means of computational experiments carried out on two instances of the problem constructed from data provided by the experts.

Keywords

Software requirements Search based software engineering Ant colony optimization Next release problem 

Notes

Acknowledgements

This research has been funded by the Spanish Ministry of Education, Culture and Sport under project TIN2010-20900-C04-02. We wish also thank to anonymous reviewers for their useful comments.

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • José del Sagrado
    • 1
  • Isabel M. del Águila
    • 1
  • Francisco J. Orellana
    • 1
  1. 1.Departamento de InformáticaUniversidad de AlmeríaAlmeríaSpain

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