Clustering Software Metric Values Extracted from C# Code for Maintainability Assessment

Author:

Arshad Shumail1,Tjortjis Christos2

Affiliation:

1. School of Computer Science, The University of Manchester, PO Box 88, Manchester M60 1QD, U.K, +44 161 306 3304

2. School of Science & Technology, International Hellenic University, 14th km Thessaloniki - Moudania, 57001 Thermi, Greece, +30 2310807576

Publisher

ACM

Cited by 6 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. Software Defect Detection Using Machine Learning on Data from Open-Source Programs;Lecture Notes in Networks and Systems;2024

2. Measuring and Clustering Heterogeneous Chatbot Designs;ACM Transactions on Software Engineering and Methodology;2023-12-13

3. A Machine Learning Approach for Effective Software Defect Detection;2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA);2023-07-10

4. Towards a Live Environment for Code Refactoring;Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering;2022-10-10

5. A Tool-Based Perspective on Software Code Maintainability Metrics: A Systematic Literature Review;Scientific Programming;2020-08-04

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