Code Revert Prediction with Graph Neural Networks: A Case Study at J.P. Morgan Chase

Author:

Pei Yulong1,Alamir Salwa1,Dolga Rares1,Shah Sameena2

Affiliation:

1. JPMorgan AI Research, London, UK

2. JPMorgan AI Research, New York, UK

Publisher

ACM

Reference32 articles.

1. Salwa Alamir , Petr Babkin , Nacho Navarro , and Sameena Shah . 2022 . AI for Automated Code Updates. In 2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP). 25–26 . Salwa Alamir, Petr Babkin, Nacho Navarro, and Sameena Shah. 2022. AI for Automated Code Updates. In 2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP). 25–26.

2. Miltiadis Allamanis , Marc Brockschmidt , and Mahmoud Khademi . 2018 . Learning to Represent Programs with Graphs . In International Conference on Learning Representations. Miltiadis Allamanis, Marc Brockschmidt, and Mahmoud Khademi. 2018. Learning to Represent Programs with Graphs. In International Conference on Learning Representations.

3. Miltiadis Allamanis , Marc Brockschmidt , and Mahmoud Khademi . 2018 . Learning to Represent Programs with Graphs . In International Conference on Learning Representations. Miltiadis Allamanis, Marc Brockschmidt, and Mahmoud Khademi. 2018. Learning to Represent Programs with Graphs. In International Conference on Learning Representations.

4. Software Defect Identification Using Machine Learning Techniques

5. SMOTE: Synthetic Minority over-Sampling Technique;Chawla Nitesh V.;J. Artif. Int. Res.,2002

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