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A Pareto ant colony algorithm applied to the class integration and test order problem

Published: 08 November 2010 Publication History

Abstract

In the context of Object-Oriented software, many works have investigated the Class Integration and Test Order (CITO) problem, proposing solutions to determine test orders for the integration test of the program classes. The existing approaches based on graphs can generate solutions that are sub-optimal, and do not consider the different factors and measures that can affect the stubbing process. To overcome this limitation, solutions based on Genetic Algorithms (GA) have presented promising results. However, the determination of a cost function, which is able to generate the best solutions, is not always a trivial task, mainly for complex systems with a great number of measures. Therefore, we introduce, in this paper, a multi-objective optimization approach to better represent the CITO problem. The approach generates a set of good solutions that achieve a balanced compromise between the different measures (objectives). It was implemented by a Pareto Ant Colony (P-ACO) algorithm, which is described in detail. The algorithm was used in a set of real programs and the obtained results are compared to the GA results. The results allow discussing the difference between single and multi-objective approaches especially for complex systems with a greater number of dependencies among the classes.

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Cited By

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  • (2019)An optimization algorithm applied to the class integration and test order problemSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-018-3077-123:12(4239-4253)Online publication date: 1-Jun-2019
  • (2013)Controversy CornerJournal of Systems and Software10.1016/j.jss.2012.07.04186:4(970-984)Online publication date: 1-Apr-2013
  • (2011)Integration test of classes and aspects with a multi-evolutionary and coupling-based approachProceedings of the Third international conference on Search based software engineering10.5555/2042243.2042268(188-203)Online publication date: 10-Sep-2011
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        Published In

        cover image Guide Proceedings
        ICTSS'10: Proceedings of the 22nd IFIP WG 6.1 international conference on Testing software and systems
        November 2010
        266 pages
        ISBN:3642165729
        • Editors:
        • Alexandre Petrenko,
        • Adenilso Simão,
        • José Carlos Maldonado

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        Springer-Verlag

        Berlin, Heidelberg

        Publication History

        Published: 08 November 2010

        Author Tags

        1. ant colony algorithm
        2. integration testing
        3. multi-objective
        4. object-oriented software

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        View all
        • (2019)An optimization algorithm applied to the class integration and test order problemSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-018-3077-123:12(4239-4253)Online publication date: 1-Jun-2019
        • (2013)Controversy CornerJournal of Systems and Software10.1016/j.jss.2012.07.04186:4(970-984)Online publication date: 1-Apr-2013
        • (2011)Integration test of classes and aspects with a multi-evolutionary and coupling-based approachProceedings of the Third international conference on Search based software engineering10.5555/2042243.2042268(188-203)Online publication date: 10-Sep-2011
        • (2011)Establishing integration test orders of classes with several coupling measuresProceedings of the 13th annual conference on Genetic and evolutionary computation10.1145/2001576.2001827(1867-1874)Online publication date: 12-Jul-2011

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