No Code Anomaly is an Island:Anomaly Agglomeration as Sign of Product Line Instabilities

Fernandes, Eduardo and Vale, Gustavo and Sousa, Leonardo and Figueiredo, Eduardo and Garcia, Alessandro Fabricio and Lee, Jaejoon (2017) No Code Anomaly is an Island:Anomaly Agglomeration as Sign of Product Line Instabilities. In: ICSR 2017: Mastering Scale and Complexity in Software Reuse. Lecture Notes in Computer Science . Springer, pp. 48-64. ISBN 9783319568553

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A software product line (SPL) is a set of systems that share common and varying features. To provide large-scale reuse, the components of a SPL should be easy to maintain. Therefore, developers have to identify anomalous code structures – i.e., code anomalies – that are detrimental to the SPL maintain-ability. Otherwise, SPL changes can eventually propagate to seemly-unrelated features and affect various SPL products. Previous work often assume that each code anomaly alone suffices to characterize SPL maintenance problems, though each single anomaly may represent only a partial, insignificant, or even inexistent view of the problem. As a result, previous studies have difficulties in characterizing anomalous structures that indicate SPL maintenance problems. In this pa-per, we study the surrounding context of each anomaly and observe that certain anomalies may be interconnected, thereby forming so-called anomaly agglomerations. We characterize three types of agglomerations in SPL: feature, feature hierarchy, and component agglomeration. Two or more anomalies form an agglomeration when they affect the same SPL structural element, i.e. a feature, a feature hierarchy, or a component. We then investigate to what extent non-agglomerated and agglomerated anomalies represent sources of a specific SPL maintenance problem: instability. We analyze various releases of four feature-oriented SPLs. Our findings suggest that a specific type of agglomeration indicates up to 89% of sources of instability, unlike non-agglomerated anomalies.

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21 Nov 2017 20:30
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16 Sep 2023 03:12