Abstract is missing.
- The promise and perils of using machine learning when engineering software (keynote paper)Yuriy Brun. 1-4 [doi]
- Neural language models for code quality identificationSrinivasan Sengamedu, Hangqi Zhao. 5-10 [doi]
- Are machine programming systems using right source-code measures to select code repositories?Niranjan Hasabnis. 11-16 [doi]
- On the application of machine learning models to assess and predict software reusabilityMatthew Yit Hang Yeow, Chun Yong Chong, Mei Kuan Lim. 17-22 [doi]
- Using machine learning to guide the application of software refactorings: a preliminary explorationNikolaos Nikolaidis 0003, Dimitrios Zisis, Apostolos Ampatzoglou, Nikolaos Mittas, Alexander Chatzigeorgiou. 23-28 [doi]
- DeepCrash: deep metric learning for crash bucketing based on stack traceChao Liu, Qiaoluan Xie, Yong Li, Yang Xu, Hyun-Deok Choi. 29-34 [doi]