Workshop program

  • Full papers: 15 minutes presentation + 5 minutes for questions
  • Short papers: 10 minutes presentation + 5 minutes for questions
  • Tool Competition papers: 8 minutes presentation + 2 minutes for questions
  • Position papers: 5 minutes presentation + 5 minutes for questions
All times in CEST (Central European Summer Time -- UTC + 2)
13:00 - 13:10 Opening
13:10 - 14:10 Keynote "Deep Learning & Software Engineering: Past, Present and Future" by Denys Poshyvanyk
14:10 - 14:30 Break
Session 1: 14:30 - 15:40
14:30 - 14:50 Unsupervised Extreme Multi Label Classification of Stack Overflow Posts
Peter Devine and Kelly Blincoe
14:50 - 15:10 Understanding Digits in Identifier Names: An Exploratory Study
Anthony Peruma and Christian Newman
15:10 - 15:25 From Zero to Hero: Generating Training Data for Question-To-Cypher Models
Dominik Opitz and Nico Hochgeschwender
15:25 - 15:40 Automatic Identification of Informative Code in Stack Overflow Posts
Preetha Chatterjee
15:40 - 15:50 Break
Tool Competition: 15:50 - 17:00
15:50 - 16:00 Competition description
Tool Competition Chairs
16:00 - 16:10 Issue Report Classification Using Pre-trained Language Models
Giuseppe Colavito, Filippo Lanubile, Nicole Novielli
16:10 - 16:20 BERT-Based GitHub Issue Report Classification
Mohammed Latif Siddiq, Joanna C.S. Santos
16:20 - 16:30 Predicting Issue Types with seBERT
Alexander Trautsch, Steffen Herbold
16:30 - 16:40 GitHub Issue Classification Using BERT-Style Models
Shikhar Bharadwaj, Tushar Kadam
16:40 - 16:50 CatIss: An Intelligent Tool for Categorizing Issues reports using Transformers
Maliheh Izadi
16:50 - 17:00 Panel discussion
All participants
17:00 - 17:20 Break
Session 2: 17:20 - 18:45
17:20 - 17:30 On the Evaluation of NLP-based Models for Software Engineering
Maliheh Izadi and Matin Nili Ahmadabadi
17:30 - 17:50 Identification of Intra-Domain Ambiguity using Transformer-based Machine Learning
Ambarish Moharil and Arpit Sharma
17:50 - 18:10 Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation
Pietro Liguori, Cristina Improta, Simona De Vivo, Roberto Natella, Bojan Cukic and Domenico Cotroneo
18:10 - 18:30 Supporting Systematic Literature Reviews Using Deep-Learning-Based Language Models
Rand Alchokr, Manoj Borkar, Sharanya Thotadarya, Thomas Leich and Gunter Saake
18:30 - 18:45 Story Point Level Classification by Text Level Graph Neural Network
Hung Phan and Ali Jannesari
18:45 - 19:00 Closing