2016 X Brazilian Symposium on Software Components, Architectures and Reuse (SBCARS) 2016
DOI: 10.1109/sbcars.2016.11
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Identifying Architectural Problems through Prioritization of Code Smells

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Cited by 21 publications
(39 citation statements)
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“…Finally, recent studies provide empirical evidence that certain smell types often co-occur in the software system. Consequently, the co-occurrence of di erent code smells may increase the negative e ects on each code smell the code structural quality (57,86,90). For instance, Oizumi et al (2016) observe that the co-occurrence of code smells manifest in di erent ways, such as the so-called code smell agglomerations, and may involve multiple code elements together, from di erent parts of the source code.…”
Section: Studies On Code Smellsmentioning
confidence: 99%
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“…Finally, recent studies provide empirical evidence that certain smell types often co-occur in the software system. Consequently, the co-occurrence of di erent code smells may increase the negative e ects on each code smell the code structural quality (57,86,90). For instance, Oizumi et al (2016) observe that the co-occurrence of code smells manifest in di erent ways, such as the so-called code smell agglomerations, and may involve multiple code elements together, from di erent parts of the source code.…”
Section: Studies On Code Smellsmentioning
confidence: 99%
“…Consequently, the co-occurrence of di erent code smells may increase the negative e ects on each code smell the code structural quality (57,86,90). For instance, Oizumi et al (2016) observe that the co-occurrence of code smells manifest in di erent ways, such as the so-called code smell agglomerations, and may involve multiple code elements together, from di erent parts of the source code. Consequently, the co-occurrence of code smells makes it di cult to identify and eliminate code smells, aimed at improving the code structural quality.…”
Section: Studies On Code Smellsmentioning
confidence: 99%
“…Several studies have presented techniques based on code smells to help developers to identify design problems (28,38,39,41,47,46). Code smells have been explored by these studies due to their co-occurence with design problems (47,53,54).…”
Section: Problem Statementmentioning
confidence: 99%
“…Code smells have been explored by these studies due to their co-occurence with design problems (47,53,54). Some studies found that elements a ected by design problems tend to have code smells, i.e., code smells and design problems co-occur in these elements (38,41,46,47). Thus, they used such co-occurrence to state that code smells are consistent indicators of design problems.…”
Section: Problem Statementmentioning
confidence: 99%
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