HIGHLIGHTS
- who: Liuhai Wang and collaborators from the School of Computer Science and Information Engineering, Zhejiang Gongshang University have published the research work: KEADA: Identifying Key Classes in Software Systems Using Dynamic Analysis and Entropy-Based Metrics, in the Journal: Entropy 2022, 24, 652. of 16/04/2022
- what: The authors propose an approach based on dynamic analysis and entropy-based metrics to identify key classes in the Java GUI software system called (identifying KEy clAsses based on Dynamic Analysis and entropy-based metrics). To verify the effectiveness of the approach the authors conducted experiments on . . .
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