Discuss papers on data-driven methods in Software Engineering and Machine Learning.
- May 10th, 18:00 CET Language Models for Code Completion: A Practical Evaluation, (questions)
Jonathan Katzy, PhD candidate in the Software Engineering Reasearch Group (SERG) at TU Delft
- March 13 Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization), (questions)
Prof. Earl Barr, head of UCL's "System Software Engineering" group, London, UK
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April 21 Source Code Diff Revolution, (questions)
Prof. Nikolaos Tsantalis, Department of CS and SE at Concordia Univ., Montreal, Canada -
March 3 "DiffSearch: A Scalable and Precise Search Engine for Code Changes" (questions)
Luca Di Grazia, Software Lab at Stuttgart Universität (IEEE Transactions on SE '22)
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Dec 22 "Modus: A Datalog Dialect for Building Container Images" (questions)
Dr. Sergey Mechtaev, Department of Computer Science at UCL (FSE '22) -
Apr 1 “A Systematic Comparison of Two Refactoring-aware Merging Techniques” (questions)
Max Ellis, Software Maintenance and Reuse (SMR) Lab at the University of Alberta (pre-print) -
Jan 14 “In-IDE Code Generation from Natural Language: Promise and Challenges” (questions)
Frank F. Xu, Language Technologies Institute of CMU (ACM TOSEM '21)
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Dec 17th “APIScanner - Towards Automated Detection of Deprecated APIs in Python Libraries” (questions)
Dr. Sridhar Chimalakonda, Intelligent Software & Analytics Lab, IIT Tirupati (ICSE '21) -
Oct 29 FACER-AS: An API Usage-based Code Recommendation Tool for Android Studio (questions)
Shamsa Abid, LUMS - Lahore University of Management Sciences (ICSME '21)
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Dec 11 LambdaNet: Probabilistic Type Inference using Graph Neural Networks (questions)
Jiayi Wei (魏家一), UT Austin (ICLR '20) -
Oct 30 How Often Do Single-Statement Bugs Occur? The ManySStuBs4J Dataset (questions)
Rafael-Michael Karampatsis, University of Edinburgh (MSR 2021 Mining challenge)
- promote reading papers
- rise awareness on current research directions in PL, SE, and ML communities
- create opportunity for collaborations
Every month we pick and discuss a paper online, in English. We expect everyone to read the paper beforehand. We will try our best to invite one of the paper authors for a Q&A session.
Anyone can add a comment the sessions's document on GDrive with questions or things that are worth clarifying.
Monthly, on Fridays
- online (here)
- read the paper
- post questions in the sessions gDoc
- join the live session