Towards a prioritization of code debt: A code smell Intensity Index

Author:

Fontana Francesca Arcelli,Ferme Vincenzo,Zanoni Marco,Roveda Riccardo

Publisher

IEEE

Cited by 69 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Toward a novel taxonomy to capture code smells caused by refactoring;Science of Computer Programming;2024-09

2. Optimizing regression testing with AHP-TOPSIS metric system for effective technical debt evaluation;Automated Software Engineering;2024-07-08

3. A Systematic Mapping Study Exploring Quantification Approaches to Code, Design, and Architecture Technical Debt;ACM Transactions on Software Engineering and Methodology;2024-07-02

4. Triaging Microservice Security Smells, with TriSS;Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering;2024-06-18

5. Study of Code Smells: A Review and Research Agenda;International Journal of Mathematical, Engineering and Management Sciences;2024-06-01

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