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• W4233562928 abstract "Software architecture degradation is a longstanding problem in software engineering. Previous studies have shown that certain code anomalies - or patterns of code anomalies - are likely to be harmful to architecture design, although their identification is far from trivial. This study presents a system for not only detecting architecturally-relevant code anomalies, but also helping developers to prioritize their removal by ranking them. We detect code anomaly patterns based on static analysis that also exploit architecture information." @default.
• W4233562928 created "2022-05-12" @default.
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• W4233562928 date "2012-06-01" @default.
• W4233562928 modified "2023-09-26" @default.
• W4233562928 title "Automatically detecting architecturally-relevant code anomalies" @default.
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• W4233562928 doi "https://doi.org/10.1109/rsse.2012.6233419" @default.
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