NLBSE@ICSE

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