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NLBSE@ICSE
2023
2023
2023
Keyphrases
Publications
2023
Rrezarta Krasniqi
,
Hyunsook Do
Generalizability of NLP-based Models for Modern Software Development Cross-Domain Environments.
NLBSE@ICSE
(2023)
Muhammad Laiq
An Intelligent Tool for Classifying Issue Reports.
NLBSE@ICSE
(2023)
Yaohou Fan
,
Chetan Arora
,
Christoph Treude
Stop Words for Processing Software Engineering Documents: Do they Matter?
NLBSE@ICSE
(2023)
Bilel Matmti
,
Fatemeh Fard
Evaluating Code Comment Generation With Summarized API Docs.
NLBSE@ICSE
(2023)
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.
NLBSE@ICSE
(2023)
Adriano Torres
,
Sebastian Baltes
,
Christoph Treude
,
Markus Wagner
Applying information theory to software evolution.
NLBSE@ICSE
(2023)
Ali Al-Kaswan
,
Maliheh Izadi
,
Arie van Deursen
STACC: Code Comment Classification using SentenceTransformers.
NLBSE@ICSE
(2023)
2nd IEEE/ACM International Workshop on Natural Language-Based Software Engineering, NLBSE@ICSE 2023, Melbourne, Australia, May 20, 2023
NLBSE@ICSE
(2023)
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.
NLBSE@ICSE
(2023)
Giuseppe Colavito
,
Filippo Lanubile
,
Nicole Novielli
Few-Shot Learning for Issue Report Classification.
NLBSE@ICSE
(2023)
Amila Indika
,
Peter Y. Washington
,
Anthony Peruma
Performance Comparison of Binary Machine Learning Classifiers in Identifying Code Comment Types: An Exploratory Study.
NLBSE@ICSE
(2023)
Sebastiano Panichella
,
Andrea Di Sorbo
Message from Program Chairs: NLBSE 2023.
NLBSE@ICSE
(2023)
Ying Li
,
Haibo Wang
,
Huaien Zhang
,
Shin Hwei Tan
Classifying Code Comments via Pre-trained Programming Language Model.
NLBSE@ICSE
(2023)
Rafael Kallis
,
Maliheh Izadi
,
Luca Pascarella
,
Oscar Chaparro
,
Pooja Rani
The NLBSE'23 Tool Competition.
NLBSE@ICSE
(2023)
Ali Al-Kaswan
,
Maliheh Izadi
The (ab)use of Open Source Code to Train Large Language Models.
NLBSE@ICSE
(2023)