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1st NLBSE 2022, Pittsburgh, PA, USA
- Andrea Di Sorbo, Sebastiano Panichella:
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. ACM/IEEE 2022, ISBN 978-1-4503-9343-0 - Peter Devine, Kelly Blincoe:
Unsupervised Extreme Multi Label Classification of Stack Overflow Posts. 1-8 - Anthony Peruma, Christian D. Newman:
Understanding Digits in Identifier Names: An Exploratory Study. 9-16 - Dominik Opitz, Nico Hochgeschwender
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From Zero to Hero: Generating Training Data for Question-To-Cypher Models. 17-20 - Preetha Chatterjee
Automatic Identification of Informative Code in Stack Overflow Posts. 21-24 - Rafael Kallis, Oscar Chaparro
NLBSE'22 Tool Competition. 25-28 - Giuseppe Colavito
Issue Report Classification Using Pre-trained Language Models. 29-32 - Mohammed Latif Siddiq
BERT-Based GitHub Issue Report Classification. 33-36 - Alexander Trautsch, Steffen Herbold:
Predicting Issue Types with seBERT. 37-39 - Shikhar Bharadwaj, Tushar Kadam:
GitHub Issue Classification Using BERT-Style Models. 40-43 - Maliheh Izadi:
CatIss: An Intelligent Tool for Categorizing Issues Reports using Transformers. 44-47 - Maliheh Izadi, Matin Nili Ahmadabadi:
On the Evaluation of NLP-based Models for Software Engineering. 48-50 - Ambarish Moharil
Identification of Intra-Domain Ambiguity using Transformer-based Machine Learning. 51-58 - Pietro Liguori
Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation. 59-66 - Rand Alchokr, Manoj Borkar, Sharanya Thotadarya, Gunter Saake, Thomas Leich:
Supporting Systematic Literature Reviews Using Deep-Learning-Based Language Models. 67-74 - Hung Phan, Ali Jannesari
Story Point Level Classification by Text Level Graph Neural Network. 75-78
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