Searched for: subject%3A%22Coding%22
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Palomba, Fabio (author), Tamburri, Damian Andrew (author), Arcelli Fontana, Francesca (author), Oliveto, Rocco (author), Zaidman, A.E. (author), Serebrenik, Alexander (author)
Code smells are poor implementation choices applied by developers during software evolution that often lead to critical flaws or failure. Much in the same way, community smells reflect the presence of organizational and socio-Technical issues within a software community that may lead to additional project costs. Recent empirical studies...
journal article 2021
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Palomba, F. (author), Zanoni, Marco (author), Arcelli Fontana, Francesca (author), De Lucia, Andrea (author), Oliveto, Rocco (author)
Code smells are symptoms of poor design and implementation choices. Previous studies empirically assessed the impact of smells on code quality and clearly indicate their negative impact on maintainability, including a higher bug-proneness of components affected by code smells. In this paper, we capture previous findings on bug-proneness to...
journal article 2019
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Catolino, G. (author), Palomba, F. (author), Arcelli Fontana, Francesca (author), De Lucia, Andrea (author), Zaidman, A.E. (author), Ferrucci, Filomena (author)
Code smells are sub-optimal implementation choices applied by developers that have the effect of negatively impacting, among others, the change-proneness of the affected classes. Based on this consideration, in this paper we conjecture that code smell-related information can be effectively exploited to improve the performance of change...
journal article 2019