Author:
Roveda Riccardo,Arcelli Fontana Francesca,Pigazzini Ilaria,Zanoni Marco
Cited by
23 articles.
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1. On Developing and Improving Tools for Architecture-Smell Tracking in Java Systems;2023 IEEE 23rd International Working Conference on Source Code Analysis and Manipulation (SCAM);2023-10-02
2. Code smell prioritization in object‐oriented software systems: A systematic literature review;Journal of Software: Evolution and Process;2023-01-29
3. An architectural technical debt index based on machine learning and architectural smells;IEEE Transactions on Software Engineering;2023
4. Modelling the Quantification of Technical Debt;Companion Proceedings of the 2022 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity;2022-11-29
5. Exploiting dynamic analysis for architectural smell detection: a preliminary study;2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA);2022-08