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NLBSE@ICSE
2024
2024
2024
Keyphrases
Publications
2024
Gokul Rejithkumar
,
Preethu Rose Anish
,
Smita Ghaisas
Text-To-Text Generation for Issue Report Classification.
NLBSE@ICSE
(2024)
Fahad Ebrahim
,
Mike Joy
Few-Shot Issue Report Classification with Adapters.
NLBSE@ICSE
(2024)
Gokul Rejithkumar
,
Preethu Rose Anish
,
Pratik Sonar
,
Smita Ghaisas
Automated Extraction of Compliance Elements in Software Engineering Contracts Using Natural Language Generation.
NLBSE@ICSE
(2024)
Mia Mohammad Imran
Emotion Classification In Software Engineering Texts: A Comparative Analysis of Pre-trained Transformers Language Models.
NLBSE@ICSE
(2024)
Gabriel Aracena
,
Kyle Luster
,
Fabio Santos
,
Igor Steinmacher
,
Marco Aurélio Gerosa
Applying Large Language Models to Issue Classification.
NLBSE@ICSE
(2024)
Rasmus Ingemann Tuffveson Jensen
,
Vali Tawosi
,
Salwa Alamir
Software Vulnerability and Functionality Assessment using Large Language Models.
NLBSE@ICSE
(2024)
Nam Le Hai
,
Nghi D. Q. Bui
Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation.
NLBSE@ICSE
(2024)
Partha Chakraborty
,
Venkatraman Arumugam
,
Meiyappan Nagappan
Aligning Programming Language and Natural Language: Exploring Design Choices in Multi-Modal Transformer-Based Embedding for Bug Localization.
NLBSE@ICSE
(2024)
Arumoy Shome
,
Luis Cruz
,
Arie van Deursen
Towards Automatic Translation of Machine Learning Visual Insights to Analytical Assertions.
NLBSE@ICSE
(2024)
Proceedings of the Third ACM/IEEE International Workshop on NL-based Software Engineering, NLBSE 2024, Lisbon, Portugal, 20 April 2024
NLBSE@ICSE
(2024)
Sharif Ahmed
,
Nasir U. Eisty
Understanding Emojis : ) in Useful Code Review Comments.
NLBSE@ICSE
(2024)
Khubaib Amjad Alam
,
Ashish Jumani
,
Harris Aamir
,
Muhammad Uzair
ClassifAI: Automating Issue Reports Classification using Pre-Trained BERT (Bidirectional Encoder Representations from Transformers) Models.
NLBSE@ICSE
(2024)
Martin Balfroid
,
Benoît Vanderose
,
Xavier Devroey
Towards LLM-Generated Code Tours for Onboarding.
NLBSE@ICSE
(2024)
Rafael Kallis
,
Giuseppe Colavito
,
Ali Al-Kaswan
,
Luca Pascarella
,
Oscar Chaparro
,
Pooja Rani
The NLBSE'24 Tool Competition.
NLBSE@ICSE
(2024)
Yining Qiao
,
José Miguel Rojas
What's in a Display Name? An Empirical Study on the Use of Display Names in Open-Source JUnit Tests.
NLBSE@ICSE
(2024)
Daniel Fernando Gómez-Barrera
,
Luccas Rojas Becerra
,
Juan Pinzón Roncancio
,
David Ortiz Almanza
,
Juan Arboleda
,
Mario Linares-Vásquez
,
Rubén Francisco Manrique
Lessons from the NLBSE 2024 Competition: Towards Building Efficient Models for GitHub Issue Classification.
NLBSE@ICSE
(2024)
Emil Bäckstrand
,
Rasmus Djupedal
,
Lena-Maria Öberg
,
Francisco Gomes de Oliveira Neto
Unveiling Disparities: NLP Analysis of Software Industry and Vocational Education Gaps.
NLBSE@ICSE
(2024)
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)