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ORCID2nd NLBSE@ICSE 2023, Melbourne, Australia
- 2nd IEEE/ACM International Workshop on Natural Language-Based Software Engineering, NLBSE@ICSE 2023, Melbourne, Australia, May 20, 2023. IEEE 2023, ISBN 979-8-3503-0178-6
- Sebastiano Panichella, Andrea Di Sorbo:
Message from Program Chairs: NLBSE 2023. vii-viii - Rafael Kallis, Maliheh Izadi, Luca Pascarella, Oscar Chaparro
, Pooja Rani:
The NLBSE'23 Tool Competition. 1-8 - Ali Al-Kaswan, Maliheh Izadi:
The (ab)use of Open Source Code to Train Large Language Models. 9-10 - Rrezarta Krasniqi, Hyunsook Do:
Generalizability of NLP-based Models for Modern Software Development Cross-Domain Environments. 11-13 - Muhammad Laiq:
An Intelligent Tool for Classifying Issue Reports. 13-15 - Giuseppe Colavito, Filippo Lanubile, Nicole Novielli:
Few-Shot Learning for Issue Report Classification. 16-19 - Amila Indika, Peter Y. Washington, Anthony Peruma:
Performance Comparison of Binary Machine Learning Classifiers in Identifying Code Comment Types: An Exploratory Study. 20-23 - Ying Li, Haibo Wang, Huaien Zhang, Shin Hwei Tan:
Classifying Code Comments via Pre-trained Programming Language Model. 24-27 - Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen:
STACC: Code Comment Classification using SentenceTransformers. 28-31 - Taryn Takebayashi, Anthony Peruma, Mohamed Wiem Mkaouer, Christian D. Newman:
An Exploratory Study on the Usage and Readability of Messages Within Assertion Methods of Test Cases. 32-39 - Yaohou Fan, Chetan Arora, Christoph Treude:
Stop Words for Processing Software Engineering Documents: Do they Matter? 40-47 - Adriano Torres, Sebastian Baltes, Christoph Treude, Markus Wagner:
Applying information theory to software evolution. 48-55 - Mohammed Latif Siddiq, Abdus Samee, Sk Ruhul Azgor, Md. Asif Haider, Shehabul Islam Sawraz, Joanna C. S. Santos:
Zero-shot Prompting for Code Complexity Prediction Using GitHub Copilot. 56-59 - Bilel Matmti, Fatemeh Fard:
Evaluating Code Comment Generation With Summarized API Docs. 60-63
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