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Ranking software components for reuse based on non-functional properties

Author

Listed:
  • Marcus Kessel

    (University of Mannheim)

  • Colin Atkinson

    (University of Mannheim)

Abstract

One of the biggest obstacles to software reuse is the cost involved in evaluating the suitability of possible reusable components. In recent years, code search engines have made significant progress in establishing the semantic suitability of components for new usage scenarios, but the problem of ranking components according to their non-functional suitability has largely been neglected. The main difficulty is that a component’s non-functional suitability for a specific reuse scenario is usually influenced by multiple, “soft” criteria, but the relative weighting of metrics for these criteria is rarely known quantitatively. What is required, therefore, is an effective and reliable strategy for ranking software components based on their non-functional properties without requiring users to provide quantitative weighting information. In this paper we present a novel approach for achieving this based on the non-dominated sorting of components driven by a specification of the relative importance of non-functional properties as a partial ordering. After describing the ranking algorithm and its implementation in a component search engine, we provide an explorative study of its properties on a sample set of components harvested from Maven Central.

Suggested Citation

  • Marcus Kessel & Colin Atkinson, 2016. "Ranking software components for reuse based on non-functional properties," Information Systems Frontiers, Springer, vol. 18(5), pages 825-853, October.
    • Handle: RePEc:spr:infosf:v:18:y:2016:i:5:d:10.1007_s10796-016-9685-3
    DOI: 10.1007/s10796-016-9685-3
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    Cited by:

    1. Amit Rathee & Jitender Kumar Chhabra, 2020. "Mining Reusable Software Components from Object-Oriented Source Code using Discrete PSO and Modeling Them as Java Beans," Information Systems Frontiers, Springer, vol. 22(6), pages 1519-1537, December.
    2. Martin Garriga & Alan De Renzis & Ignacio Lizarralde & Andres Flores & Cristian Mateos & Alejandra Cechich & Alejandro Zunino, 2018. "A structural-semantic web service selection approach to improve retrievability of web services," Information Systems Frontiers, Springer, vol. 20(6), pages 1319-1344, December.
    3. Thouraya Bouabana-Tebibel & Stuart H. Rubin, 2016. "Towards common reusable semantics," Information Systems Frontiers, Springer, vol. 18(5), pages 819-823, October.
    4. Martin Garriga & Alan De Renzis & Ignacio Lizarralde & Andres Flores & Cristian Mateos & Alejandra Cechich & Alejandro Zunino, 0. "A structural-semantic web service selection approach to improve retrievability of web services," Information Systems Frontiers, Springer, vol. 0, pages 1-26.

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