Supplemental Material | Human-level Ordinal Maintainability Prediction Based on Static Code Metrics
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资源简介：
Supplemental Material for the paper <br>M<i>arkus Schnappinger, Arnaud Fietzke, and Alexander Pretschner. 2021. Human-level Ordinal Maintainability Prediction Based on Static Code Metrics. In Evaluation and Assessment in Software Engineering (EASE 2021). Association for Computing Machinery, New York, NY, USA, 160–169. DOI: https://doi.org/10.1145/3463274.3463315<br></i><br><br><b>Contents:</b><i>- </i>Complete list of all static metrics and used tools in <i>metrics.md</i><i>- C</i>omplete list of features ranked by their importance ranking (Table 2 in the paper) in <i>ranking.csv</i><br>- Exact configurations, i.e. hyper-parameters, preprocessing, selected features, used to achieve the reported results (Table 3 in the paper) in <i>configurations.csv</i><i><br></i><br>
提供机构：
Fietzke, Arnaud; Pretschner, Alexander; Schnappinger, Markus
创建时间：
2022-03-07
