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Viewing Publication 1 - 31 from 31

2023

2nd IEEE/ACM International Workshop on Natural Language-Based Software Engineering, NLBSE@ICSE 2023, Melbourne, Australia, May 20, 2023IEEE, 2023. [doi]

The (ab)use of Open Source Code to Train Large Language ModelsAli Al-Kaswan, Maliheh Izadi. nlbse 2023: 9-10 [doi]

STACC: Code Comment Classification using SentenceTransformersAli Al-Kaswan, Maliheh Izadi, Arie van Deursen. nlbse 2023: 28-31 [doi]

Few-Shot Learning for Issue Report ClassificationGiuseppe Colavito, Filippo Lanubile, Nicole Novielli. nlbse 2023: 16-19 [doi]

Stop Words for Processing Software Engineering Documents: Do they Matter?Yaohou Fan, Chetan Arora 0002, Christoph Treude. nlbse 2023: 40-47 [doi]

Performance Comparison of Binary Machine Learning Classifiers in Identifying Code Comment Types: An Exploratory StudyAmila Indika, Peter Y. Washington, Anthony Peruma. nlbse 2023: 20-23 [doi]

The NLBSE'23 Tool CompetitionRafael Kallis, Maliheh Izadi, Luca Pascarella, Oscar Chaparro, Pooja Rani. nlbse 2023: 1-8 [doi]

Generalizability of NLP-based Models for Modern Software Development Cross-Domain EnvironmentsRrezarta Krasniqi, Hyunsook Do. nlbse 2023: 11-13 [doi]

An Intelligent Tool for Classifying Issue ReportsMuhammad Laiq. nlbse 2023: 13-15 [doi]

Classifying Code Comments via Pre-trained Programming Language ModelYing Li, Haibo Wang, Huaien Zhang, Shin Hwei Tan. nlbse 2023: 24-27 [doi]

Evaluating Code Comment Generation With Summarized API DocsBilel Matmti, Fatemeh Fard. nlbse 2023: 60-63 [doi]

Message from Program Chairs: NLBSE 2023Sebastiano Panichella, Andrea Di Sorbo. nlbse 2023: [doi]

Zero-shot Prompting for Code Complexity Prediction Using GitHub CopilotMohammed Latif Siddiq, Abdus Samee, Sk Ruhul Azgor, Md. Asif Haider, Shehabul Islam Sawraz, Joanna C. S. Santos. nlbse 2023: 56-59 [doi]

An Exploratory Study on the Usage and Readability of Messages Within Assertion Methods of Test CasesTaryn Takebayashi, Anthony Peruma, Mohamed Wiem Mkaouer, Christian D. Newman. nlbse 2023: 32-39 [doi]

Applying information theory to software evolutionAdriano Torres, Sebastian Baltes, Christoph Treude, Markus Wagner 0007. nlbse 2023: 48-55 [doi]

2022

Supporting Systematic Literature Reviews Using Deep-Learning-Based Language ModelsRand Alchokr, Manoj Borkar, Sharanya Thotadarya, Gunter Saake, Thomas Leich. nlbse 2022: 67-74 [doi]

GitHub Issue Classification Using BERT-Style ModelsShikhar Bharadwaj, Tushar Kadam. nlbse 2022: 40-43 [doi]

Automatic Identification of Informative Code in Stack Overflow PostsPreetha Chatterjee. nlbse 2022: 21-24 [doi]

Issue Report Classification Using Pre-trained Language ModelsGiuseppe Colavito, Filippo Lanubile, Nicole Novielli. nlbse 2022: 29-32 [doi]

Unsupervised Extreme Multi Label Classification of Stack Overflow PostsPeter Devine, Kelly Blincoe. nlbse 2022: 1-8 [doi]

On the Evaluation of NLP-based Models for Software EngineeringMaliheh Izadi, Matin Nili Ahmadabadi. nlbse 2022: 48-50 [doi]

CatIss: An Intelligent Tool for Categorizing Issues Reports using TransformersMaliheh Izadi. nlbse 2022: 44-47 [doi]

NLBSE'22 Tool CompetitionRafael Kallis, Oscar Chaparro, Andrea Di Sorbo, Sebastiano Panichella. nlbse 2022: 25-28 [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. nlbse 2022: 59-66 [doi]

Identification of Intra-Domain Ambiguity using Transformer-based Machine LearningAmbarish Moharil, Arpit Sharma 0002. nlbse 2022: 51-58 [doi]

From Zero to Hero: Generating Training Data for Question-To-Cypher ModelsDominik Opitz, Nico Hochgeschwender. nlbse 2022: 17-20 [doi]

Understanding Digits in Identifier Names: An Exploratory StudyAnthony Peruma, Christian D. Newman. nlbse 2022: 9-16 [doi]

Story Point Level Classification by Text Level Graph Neural NetworkHung Phan, Ali Jannesari 0001. nlbse 2022: 75-78 [doi]

BERT-Based GitHub Issue Report ClassificationMohammed Latif Siddiq, Joanna C. S. Santos. nlbse 2022: 33-36 [doi]

2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE 2022), Co-located with ICSE 2022, Pittsburgh, PA, USA, May 8, 2022Andrea Di Sorbo, Sebastiano Panichella, editors, IEEE, 2022. [doi]

Predicting Issue Types with seBERTAlexander Trautsch, Steffen Herbold. nlbse 2022: 37-39 [doi]

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