Complementary materials for: Looking For Novelty in Search-based Software Product Line Testing (TSE)

<p>In this repository, we provide complementary materials for the following paper:&nbsp;&nbsp;</p> <pre>Y. Xiang, H. Huang, M. Li, S. Li and X. Yang, &quot;Looking For Novelty in Search-based Software Product Line Testing&quot; in <em>IEEE Transactions on Software Engineering</em>, vol. , no. 01, pp. 1-1, 5555. doi: 10.1109/TSE.2021.3057853 url: https://doi.ieeecomputersociety.org/10.1109/TSE.2021.3057853</pre> <p>1.&nbsp;Correlation analysis results (Pearson&#39;r and p-value) are&nbsp;tabulated in&nbsp;<a href="https://www.zenodo.org/api/files/f6451296-91dc-4c9c-89fc-28ebf315be10/CorrelationAnalysisResults.xlsx?versionId=2f4ec2ab-3e48-420d-9819-b5e60ea43c06">CorrelationAnalysisResults.xlsx</a>;&nbsp;</p> <p>2. MATLAB scripts and raw data, which were used to perform correlation analyses,&nbsp;&nbsp;are&nbsp; given in&nbsp;<a href="https://zenodo.org/api/files/f6451296-91dc-4c9c-89fc-28ebf315be10/RawDataForCorrelationAnalysis.rar?versionId=5a168e2e-df32-4773-b8f3-4bf49de8d01d">RawDataForCorrelationAnalysis.rar</a>.&nbsp;</p> <p>---------------------------------------------------------------------------------------------------------------------------------------</p> <p>We suggest&nbsp;reproducing the correlation analysis, and other&nbsp;experiments described in the paper,&nbsp;&nbsp;using the codes provided at&nbsp;Github:&nbsp;<a href="https://github.com/gzhuxiangyi/TSE_NS">https://github.com/gzhuxiangyi/TSE_NS&nbsp;</a></p> <p>&nbsp;</p>