Software metrics in agile software: An empirical study

Giuseppe Destefanis, Steve Counsell, Giulio Concas, Roberto Tonelli

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    23 Citations (Scopus)


    This paper presents a software metrics analysis of eight object-oriented systems. Five systems had been developed using Agile methodologies and three using plan-driven methodologies; three systems were written in Python and five in Java. For each system, we considered 10 traditional metrics such as LOC and the Chidamber and Kemerer metrics. These metrics were computed at class level. In our study we present empirical results considering systems developed with Agile methodologies and we compare them with previous results for non Agile systems. In particular, we verify that the distributions of software metrics in a software system developed using Agile methodologies does not differ from the distribution in systems developed using plan-driven methodologies.

    Original languageEnglish
    Title of host publicationAgile Processes in Software Engineering and Extreme Programming - 15th International Conference, XP 2014, Proceedings
    PublisherSpringer Nature
    Number of pages14
    Volume179 LNBIP
    ISBN (Print)9783319068619
    Publication statusPublished - 2014
    Event15th International Conference on Agile Software Development, XP 2014 - Rome, Italy
    Duration: 26 May 201430 May 2014

    Publication series

    NameLecture Notes in Business Information Processing
    Volume179 LNBIP
    ISSN (Print)1865-1348


    Conference15th International Conference on Agile Software Development, XP 2014


    • Agile
    • Data mining
    • Object-oriented programming
    • Software metrics


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