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3rd NLBSE@ICSE 2024, Lisbon, Portugal
- Maliheh Izadi, Andrea Di Sorbo, Sebastiano Panichella:
Proceedings of the Third ACM/IEEE International Workshop on NL-based Software Engineering, NLBSE 2024, Lisbon, Portugal, 20 April 2024. ACM 2024, ISBN 979-8-4007-0576-2 - Partha Chakraborty
, Venkatraman Arumugam
, Meiyappan Nagappan
:
Aligning Programming Language and Natural Language: Exploring Design Choices in Multi-Modal Transformer-Based Embedding for Bug Localization. 1-8 - Emil Bäckstrand
, Rasmus Djupedal
, Lena-Maria Öberg
, Francisco Gomes de Oliveira Neto
:
Unveiling Disparities: NLP Analysis of Software Industry and Vocational Education Gaps. 9-16 - 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. 17-24 - Rasmus Ingemann Tuffveson Jensen
, Vali Tawosi
, Salwa Alamir
:
Software Vulnerability and Functionality Assessment using Large Language Models. 25-28 - Arumoy Shome
, Luis Cruz
, Arie van Deursen
:
Towards Automatic Translation of Machine Learning Visual Insights to Analytical Assertions. 29-32 - Rafael Kallis
, Giuseppe Colavito
, Ali Al-Kaswan
, Luca Pascarella
, Oscar Chaparro
, Pooja Rani
:
The NLBSE'24 Tool Competition. 33-40 - Fahad Ebrahim
, Mike Joy
:
Few-Shot Issue Report Classification with Adapters. 41-44 - 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. 45-48 - Khubaib Amjad Alam
, Ashish Jumani
, Harris Aamir
, Muhammad Uzair
:
ClassifAI: Automating Issue Reports Classification using Pre-Trained BERT (Bidirectional Encoder Representations from Transformers) Models. 49-52 - Gokul Rejithkumar
, Preethu Rose Anish
, Smita Ghaisas
:
Text-To-Text Generation for Issue Report Classification. 53-56 - Gabriel Aracena
, Kyle Luster
, Fabio Santos
, Igor Steinmacher
, Marco Aurélio Gerosa
:
Applying Large Language Models to Issue Classification. 57-60 - Nam Le Hai
, Nghi D. Q. Bui
:
Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation. 61-64 - Martin Balfroid
, Benoît Vanderose
, Xavier Devroey
:
Towards LLM-Generated Code Tours for Onboarding. 65-68 - Gokul Rejithkumar
, Preethu Rose Anish
, Pratik Sonar
, Smita Ghaisas
:
Automated Extraction of Compliance Elements in Software Engineering Contracts Using Natural Language Generation. 69-72 - Mia Mohammad Imran
:
Emotion Classification In Software Engineering Texts: A Comparative Analysis of Pre-trained Transformers Language Models. 73-80 - Sharif Ahmed
, Nasir U. Eisty
:
Understanding Emojis : ) in Useful Code Review Comments. 81-84
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