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ORCID3rd 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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