Abstract
Quality models and metrics permit an objective evaluation of the quality level of a software product. Moreover, the adoption of software analysis tools that facilitate the measurement of software metrics can ease the evaluation tasks. However, the available tools do not interpret and measure metrics in the same manner. This paper proposes a preliminary investigation on the behavior of existing software metric tools and shows that the evaluation of the metrics of a software system by using different analysis tools provides different values. This aspect could impact on the overall software quality evaluation.
Cite
CITATION STYLE
Aversano, L., Grasso, C., Grasso, P., & Tortorella, M. (2016). Assessing the behavior of software analysis tools. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10027 LNCS, pp. 631–635). Springer Verlag. https://doi.org/10.1007/978-3-319-49094-6_50
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