Computational Intelligence for Software Engineering Laboratory
We optimise and improve software through the use of machine intelligence.
- Jeongju Sohn and Shin Yoo, FLUCCS: Using Code and Change Metrics to Improve Fault Localisation, ISSTA 2017, to appear.
- Junhwi Kim, Byeonghyeon You, Minhyuk Kwon, Phil McMinn, and Shin Yoo, Evaluating CAVM: a new search-based test data generation tool for C, SSBSE 2017, to appear.
- Dahyun Kang, Jeongju Sohn, and Shin Yoo, Empirical evaluation of conditional operators in GP based fault localization, GECCO 2017, to appear.
- Shin Yoo, Xiaoyuan Xie, Fei-Ching Kuo, Tsong Yueh Chen, and Mark Harman, Human competitiveness of genetic programming in SBFL: Theoretical and empirical analysis, ACM Transactions on Software Engineering and Methodology, to appear.