NLBSE 2024 Contributors

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Results (58)

A Harris AamirAamir, Harris National University of Computer and Emerging Sciences, Islamabad, PakistanPakistan ClassifAI: Automating Issue Reports Classification using Pre-Trained BERT (Bidirectional Encoder Representations from Transformers) Models
Sharif AhmedAhmed, Sharif Boise State University, USA Understanding Emojis :) in Useful Code Review Comments
Ali Al-KaswanAl-Kaswan, Ali Delft University of Technology, NetherlandsNetherlands Session Chair of Tool Competition (part of NLBSE) Tool Competition Opening Tool Competition Closing
Khubaib Amjad AlamAlam, Khubaib Amjad National University of Computer and Emerging Sciences ClassifAI: Automating Issue Reports Classification using Pre-Trained BERT (Bidirectional Encoder Representations from Transformers) Models
Salwa AlamirAlamir, Salwa J.P. Morgan AI ResearchUnited Kingdom Software Vulnerability and Functionality Assessment using Large Language Models
David Ortiz AlmanzaAlmanza, David Ortiz Universidad de los Andes Lessons from the NLBSE 2024 Competition: Towards Building Efficient Models for GitHub Issue Classification
Preethu Rose AnishAnish, Preethu Rose TCS ResearchIndia Text-To-Text Generation for Issue Report Classification Automated Extraction of Compliance Elements in Software Engineering Contracts Using Natural Language Generation
Gabriel AracenaAracena, Gabriel Grand Canyon University Applying Large Language Models API to Issue Classification Problem
Juan ArboledaArboleda, Juan Universidad de los Andes Lessons from the NLBSE 2024 Competition: Towards Building Efficient Models for GitHub Issue Classification
Venkatraman ArumugamArumugam, Venkatraman University of Waterloo Aligning Programming Language and Natural Language: Exploring Design Choices in Multi-Modal Transformer-Based Embedding for Bug Localization
B Martin BalfroidBalfroid, Martin Towards LLM-Generated Code Tours for Onboarding
Luccas Rojas BecerraBecerra, Luccas Rojas Universidad de los Andes Lessons from the NLBSE 2024 Competition: Towards Building Efficient Models for GitHub Issue Classification
Nghi D. Q. BuiBui, Nghi D. Q. Fulbright University, Viet Nam Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation
Emil BäckstrandBäckstrand, Emil Mid Sweden University Unveiling Disparities: NLP Analysis of Software Industry and Vocational Education Gaps
C Partha ChakrabortyChakraborty, Partha University of Waterloo Aligning Programming Language and Natural Language: Exploring Design Choices in Multi-Modal Transformer-Based Embedding for Bug Localization
Oscar ChaparroChaparro, Oscar William & MaryUnited States Session Chair of Tool Competition (part of NLBSE) Tool Competition Opening Tool Competition Closing
Giuseppe ColavitoColavito, Giuseppe University of Bari, ItalyItaly Session Chair of Tool Competition (part of NLBSE) Tool Competition Opening Tool Competition Closing
Luís CruzCruz, Luís Delft University of TechnologyNetherlands Towards Automatic Translation of Machine Learning Visual Insights to Analytical Assertions
D Xavier DevroeyDevroey, Xavier University of NamurBelgium Towards LLM-Generated Code Tours for Onboarding
Andrea Di SorboDi Sorbo, Andrea University of SannioItaly Session Chair of Discussion Panel - Challenges and Opportunities of LLMs (part of NLBSE) Session Chair of Session 1 - Language and code dynamics (part of NLBSE) Session Chair of Opening (part of NLBSE) Session Chair of Session 2 - Frontiers of collaborative development (part of NLBSE) Panel Introduction Panel discussion
Rasmus DjupedalDjupedal, Rasmus Mid Sweden University Unveiling Disparities: NLP Analysis of Software Industry and Vocational Education Gaps
E Fahad EbrahimEbrahim, Fahad The University of WarwickUnited Kingdom Few-Shot Issue Report Classification with Adapters
Nasir EistyEisty, Nasir Boise State UniversityUnited States Understanding Emojis :) in Useful Code Review Comments
G Marco GerosaGerosa, Marco Northern Arizona UniversityUnited States Applying Large Language Models API to Issue Classification Problem
Smita GhaisasGhaisas, Smita TCS ResearchIndia Text-To-Text Generation for Issue Report Classification Automated Extraction of Compliance Elements in Software Engineering Contracts Using Natural Language Generation
Francisco Gomes de Oliveira NetoGomes de Oliveira Neto, Francisco Chalmers \| University of GothenburgSweden Unveiling Disparities: NLP Analysis of Software Industry and Vocational Education Gaps
Daniel Gómez-BarreraGómez-Barrera, Daniel Universidad de los Andes Lessons from the NLBSE 2024 Competition: Towards Building Efficient Models for GitHub Issue Classification
H Nam Le HaiHai, Nam Le FPT Software AI Center Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation
I Mia Mohammad ImranImran, Mia Mohammad Virginia Commonwealth University Emotion Classification In Software Engineering Texts: A Comparative Analysis of Pre-trained Transformers Language Models
Rasmus Ingemann Tuffeveson JensenIngemann Tuffeveson Jensen, Rasmus J.P. Morgan AI Research Software Vulnerability and Functionality Assessment using Large Language Models
Maliheh IzadiIzadi, Maliheh Delft University of TechnologyNetherlands Session Chair of Discussion Panel - Challenges and Opportunities of LLMs (part of NLBSE) Session Chair of Session 1 - Language and code dynamics (part of NLBSE) Session Chair of Opening (part of NLBSE) Session Chair of Session 2 - Frontiers of collaborative development (part of NLBSE) Panel Introduction Panel discussion
J Mike JoyJoy, Mike University of Warwick Few-Shot Issue Report Classification with Adapters
Ashish JumaniJumani, Ashish National University of Computer and Emerging Sciences ClassifAI: Automating Issue Reports Classification using Pre-Trained BERT (Bidirectional Encoder Representations from Transformers) Models
K Rafael KallisKallis, Rafael Rafael Kallis ConsultingSwitzerland Session Chair of Tool Competition (part of NLBSE) Panel Introduction Panel discussion Tool Competition Opening Tool Competition Closing
Andrei KucharavyKucharavy, Andrei Presentation of a Book on Security for LLMs Panel discussion
L Mario Linares-VásquezLinares-Vásquez, Mario Universidad de los AndesColombia Lessons from the NLBSE 2024 Competition: Towards Building Efficient Models for GitHub Issue Classification
Kyle LusterLuster, Kyle Grand Canyon UniversityUnited States Applying Large Language Models API to Issue Classification Problem
M Ruben ManriqueManrique, Ruben Universidad de los Andes Lessons from the NLBSE 2024 Competition: Towards Building Efficient Models for GitHub Issue Classification
N Mei NagappanNagappan, Mei University of WaterlooCanada Aligning Programming Language and Natural Language: Exploring Design Choices in Multi-Modal Transformer-Based Embedding for Bug Localization
Nicole NovielliNovielli, Nicole University of BariItaly Panel discussion
P Sebastiano PanichellaPanichella, Sebastiano Zurich University of Applied SciencesSwitzerland Session Chair of Discussion Panel - Challenges and Opportunities of LLMs (part of NLBSE) Session Chair of Session 1 - Language and code dynamics (part of NLBSE) Session Chair of Opening (part of NLBSE) Session Chair of Session 2 - Frontiers of collaborative development (part of NLBSE) Panel Introduction Panel discussion
Luca PascarellaPascarella, Luca ETH ZurichSwitzerland Session Chair of Tool Competition (part of NLBSE) Tool Competition Opening Tool Competition Closing
Michael PradelPradel, Michael University of StuttgartGermany Neuro-Symbolic Developer Tools for Analyzing, Executing, and Repairing Code Panel discussion
Q Yining QiaoQiao, Yining University of Sheffield What’s in a Display Name? An Empirical Study on the Use of Display Names in Open-Source JUnit Tests
R Pooja RaniRani, Pooja University of ZurichSwitzerland Session Chair of Tool Competition (part of NLBSE) Tool Competition Opening Tool Competition Closing
Gokul RejithkumarRejithkumar, Gokul TCS ResearchIndia Text-To-Text Generation for Issue Report Classification Automated Extraction of Compliance Elements in Software Engineering Contracts Using Natural Language Generation
José Miguel RojasRojas, José Miguel The University of SheffieldUnited Kingdom What’s in a Display Name? An Empirical Study on the Use of Display Names in Open-Source JUnit Tests
Juan Pinzón RoncancioRoncancio, Juan Pinzón Universidad de los Andes Lessons from the NLBSE 2024 Competition: Towards Building Efficient Models for GitHub Issue Classification
S Fábio SantosSantos, Fábio Applying Large Language Models API to Issue Classification Problem
Arumoy ShomeShome, Arumoy Delft University of TechnologyNetherlands Towards Automatic Translation of Machine Learning Visual Insights to Analytical Assertions
Pratik SonarSonar, Pratik TCS Research Automated Extraction of Compliance Elements in Software Engineering Contracts Using Natural Language Generation
Igor SteinmacherSteinmacher, Igor Northern Arizona UniversityUnited States Applying Large Language Models API to Issue Classification Problem
T Vali TawosiTawosi, Vali J.P. Morgan AI ResearchUnited Kingdom Software Vulnerability and Functionality Assessment using Large Language Models
U Muhammad UzairUzair, Muhammad National University of Computer and Emerging Sciences, Islamabad, PakistanPakistan ClassifAI: Automating Issue Reports Classification using Pre-Trained BERT (Bidirectional Encoder Representations from Transformers) Models
V Arie van Deursenvan Deursen, Arie Delft University of TechnologyNetherlands Towards Automatic Translation of Machine Learning Visual Insights to Analytical Assertions
Arie van Deursenvan Deursen, Arie Delft University of Technology Panel discussion
Benoît VanderoseVanderose, Benoît University of NamurBelgium Towards LLM-Generated Code Tours for Onboarding
Ö Lena-Maria ÖbergÖberg, Lena-Maria Mid Sweden University Unveiling Disparities: NLP Analysis of Software Industry and Vocational Education Gaps