Yang Song

Hi there! I am a Ph.D. candidate in the Department of Computer Science at William & Mary, under the supervision of Prof. Oscar Chaparro. My research interests fall in deep learning, machine learning, specifically multi-modal learning, natural language processing, and their applications in software engineering. Before coming to W&M, I got my bachelor degree in mathematics from Sichuan University. Check my CV here.

News

• I am looking for an intern in industry now.

Publications

1. On the Automated Mapping of Bug Descriptions to Mobile App UI Screens
   Yang Song, Antu Saha, Ying Zhou, Junayed Mahmud, Kevin Moran, Oscar Chaparro
   Under Review
2. BURT: A Chatbot for Interactive Bug Reporting
   Yang Song, Junayed Mahmud, Nadeeshan De Silva, Ying Zhou, Oscar Chaparro, Kevin Moran, Andrian Marcus
   Proceedings of the 45th IEEE/ACM International Conference on Software Engineering (ICSE'23)
   Tool demo track, pp. 170-174, 2023 - [PDF] [Package] [Tool]
3. Recommending Bug Assignment Approaches for Individual Bug Reports: An Empirical Investigation
   Yang Song, Oscar Chaparro
   arXiv:2305.18650, 2023 - [PDF] 
4. Toward Interactive Bug Reporting for (Android App) End-Users
   Yang Song, Junayed Mahmud, Ying Zhou, Oscar Chaparro, Kevin Moran, Andrian Marcus
   Proceedings of the 28th ACM Joint Meeting on the Foundations of Software Engineering (ESEC/FSE'22)
   Research track, pp.344–356, 2022 - [PDF] [Package] [Tool]
5. Bee: a tool for structuring and analyzing bug reports
   Yang Song, Oscar Chaparro
   Proceedings of the 28th ACM Joint Meeting on the Foundations of Software Engineering (ESEC/FSE'20)
   Tool demo track, pp. 1551-1555, 2020 - [PDF] [Package] [Tool]

Work/Teaching Experience

• 2020/03 - present       Research Assistant, William & Mary
• 2018/09 - 2020/05     Teaching Assistant, William & Mary

Academic Service

• Sub-reviewer: ASE 2021, ICSME 2021, ICSME 2022, ICSE 2022, FSE 2023, ICSE 2023
• Volunteer: FSE 2020, ICSE 2020, ICSME 2023