Abstract is missing.
- Unsupervised Extreme Multi Label Classification of Stack Overflow PostsPeter Devine, Kelly Blincoe. 1-8 [doi]
- Understanding Digits in Identifier Names: An Exploratory StudyAnthony Peruma, Christian D. Newman. 9-16 [doi]
- From Zero to Hero: Generating Training Data for Question-To-Cypher ModelsDominik Opitz, Nico Hochgeschwender. 17-20 [doi]
- Automatic Identification of Informative Code in Stack Overflow PostsPreetha Chatterjee. 21-24 [doi]
- NLBSE'22 Tool CompetitionRafael Kallis, Oscar Chaparro, Andrea Di Sorbo, Sebastiano Panichella. 25-28 [doi]
- Issue Report Classification Using Pre-trained Language ModelsGiuseppe Colavito, Filippo Lanubile, Nicole Novielli. 29-32 [doi]
- BERT-Based GitHub Issue Report ClassificationMohammed Latif Siddiq, Joanna C. S. Santos. 33-36 [doi]
- Predicting Issue Types with seBERTAlexander Trautsch, Steffen Herbold. 37-39 [doi]
- GitHub Issue Classification Using BERT-Style ModelsShikhar Bharadwaj, Tushar Kadam. 40-43 [doi]
- CatIss: An Intelligent Tool for Categorizing Issues Reports using TransformersMaliheh Izadi. 44-47 [doi]
- On the Evaluation of NLP-based Models for Software EngineeringMaliheh Izadi, Matin Nili Ahmadabadi. 48-50 [doi]
- Identification of Intra-Domain Ambiguity using Transformer-based Machine LearningAmbarish Moharil, Arpit Sharma 0002. 51-58 [doi]
- Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code GenerationPietro Liguori, Cristina Improta, Simona De Vivo, Roberto Natella, Bojan Cukic, Domenico Cotroneo. 59-66 [doi]
- Supporting Systematic Literature Reviews Using Deep-Learning-Based Language ModelsRand Alchokr, Manoj Borkar, Sharanya Thotadarya, Gunter Saake, Thomas Leich. 67-74 [doi]
- Story Point Level Classification by Text Level Graph Neural NetworkHung Phan, Ali Jannesari 0001. 75-78 [doi]