NLBSE

Publications

2022

Shikhar Bharadwaj, Tushar Kadam
GitHub Issue Classification Using BERT-Style Models. NLBSE (2022)
Anthony Peruma, Christian D. Newman
Understanding Digits in Identifier Names: An Exploratory Study. NLBSE (2022)
Rand Alchokr, Manoj Borkar, Sharanya Thotadarya, Gunter Saake, Thomas Leich
Supporting Systematic Literature Reviews Using Deep-Learning-Based Language Models. NLBSE (2022)
Alexander Trautsch, Steffen Herbold
Predicting Issue Types with seBERT. NLBSE (2022)
Maliheh Izadi
CatIss: An Intelligent Tool for Categorizing Issues Reports using Transformers. NLBSE (2022)
Peter Devine, Kelly Blincoe
Unsupervised Extreme Multi Label Classification of Stack Overflow Posts. NLBSE (2022)
Hung Phan, Ali Jannesari
Story Point Level Classification by Text Level Graph Neural Network. NLBSE (2022)
Dominik Opitz, Nico Hochgeschwender
From Zero to Hero: Generating Training Data for Question-To-Cypher Models. NLBSE (2022)
Maliheh Izadi, Matin Nili Ahmadabadi
On the Evaluation of NLP-based Models for Software Engineering. NLBSE (2022)
Ambarish Moharil, Arpit Sharma
Identification of Intra-Domain Ambiguity using Transformer-based Machine Learning. NLBSE (2022)
Rafael Kallis, Oscar Chaparro, Andrea Di Sorbo, Sebastiano Panichella
NLBSE'22 Tool Competition. NLBSE (2022)
Preetha Chatterjee
Automatic Identification of Informative Code in Stack Overflow Posts. NLBSE (2022)
Pietro Liguori, Cristina Improta, Simona De Vivo, Roberto Natella, Bojan Cukic, Domenico Cotroneo
Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation. NLBSE (2022)
2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE 2022), Co-located with ICSE 2022, Pittsburgh, PA, USA, May 8, 2022 NLBSE (2022)
Mohammed Latif Siddiq, Joanna C. S. Santos
BERT-Based GitHub Issue Report Classification. NLBSE (2022)
Giuseppe Colavito, Filippo Lanubile, Nicole Novielli
Issue Report Classification Using Pre-trained Language Models. NLBSE (2022)