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On the criteria for prioritizing code anomalies to identify architectural problems.

, , , , , and . SAC, page 1812-1814. ACM, (2016)

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Identifying Architectural Problems through Prioritization of Code Smells., , , , , and . SBCARS, page 41-50. IEEE Computer Society, (2016)Do Research and Practice of Code Smell Identification Walk Together? A Social Representations Analysis., , , , , , , , and . ESEM, page 1-6. IEEE, (2019)Predicting Design Impactful Changes in Modern Code Review: A Large-Scale Empirical Study., , , , , , , , and . MSR, page 471-482. IEEE, (2021)A search-based approach for software product line design., , , and . SPLC, page 237-241. ACM, (2014)On the relationship of code-anomaly agglomerations and architectural problems., , , , and . J. Softw. Eng. Res. Dev., (2015)On the Prioritization of Design-Relevant Smelly Elements: A Mixed-Method, Multi-Project Study., , , and . SBCARS, page 83-92. ACM, (2019)Applying Machine Learning to Customized Smell Detection: A Multi-Project Study., , , , , and . SBES, page 233-242. ACM, (2020)Don't Forget the Exception! : Considering Robustness Changes to Identify Design Problems., , , , , , , , , and . MSR, page 417-429. IEEE, (2023)On the Proactive Design of Product-Line Architectures with Aspects: An Exploratory Study., , , , , , , , and . COMPSAC, page 273-278. IEEE Computer Society, (2012)Replication Package for the paper: "How Does Modern Code Review Impact Software Design Degradation? An In-depth Empirical Study"., , , , , , and . (August 2020)