reading-club-1's Introduction

JetBrains Open Reading Club

Discuss papers on data-driven approaches in Software Engineering and Machine Learning fields.

Upcoming sessions

Mar 11, 17:00 CET (GMT+1) / 9:00am MST (📅 event)
“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)

Past sessions

2022

Jan 14 “In-IDE Code Generation from Natural Language: Promise and Challenges” (questions)
Frank F. Xu, Language Technologies Institute of CMU (ACM TOSEM '21)

2021

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)

2020

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)

Goal

promote reading papers
rise awareness on current research directions in PL, SE, and ML communities
create opportunity for collaborations

How it works

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.