Natural Language-Based Software Engineering

Accepted Papers

Semantic API Alignment: Linking High-level User Goals to APIs
Robert Feldt and Riccardo Coppola
Analyzing Toxicity in Open Source Software Communications Using Psycholinguistics and Moral Foundations Theory
Ramtin Ehsani, Shadi Rezapour and Preetha Chatterjee
Evaluating Large Language Models in Exercises of UML Use Case Diagrams Modeling
Giacomo Garaccione, Pablo Federico Vega Carrazan, Riccardo Coppola and Luca Ardito
SkillScope: A Tool to Predict Fine-Grained Skills Needed to Solve Issues on GitHub
Benjamin C. Carter, Jonathan Rivas Contreras, Carlos A. Llanes, Pawan Acharya, Jack Utzerath, Adonijah O. Farner, Hunter Jenkins, Dylan Johnson, Jacob Penney, Igor Steinmacher, Marco A. Gerosa and Fabio Santos
Automating Benchmark Generation for LLMs in Software Engineering: Challenges and Opportunities
Nimrod Busany, Hananel Hadad, Gil Rosenblum, Zofia Maszlanka, Rohit Shelke, Okhaide Akhigbe and Daniel Amyot
Synthesizing Access Control Policies using Large Language Models
Adarsh Vatsa, Pratyush Patel and William Eiers

NLBSE'25 Tool Competition: Code Comment Classification
Aishwarya Senthilkumar and Sowmiya Priya Ramachandran Senthilkumar
Code Comment Classification with Data Augmentation and Transformer-Based Models
Mushfiqur Rahman and Mohammed Latif Siddiq
GRAPHiC: Utilizing Graph Structures and Class Weights in Code Comment Classification with Pretrained BERT Models
Pir Sami Ullah Shah, Shahela Saif, Muhammad Haris Athar, Muhammad Riyaan Tariq and Abdur Rehman Afzal
Evaluating the Performance and Efficiency of Sentence-BERT for Code Comment Classification
Fabian C. Peña and Steffen Herbold
Optimizing Deep Learning Models to Address Class Imbalance in Code Comment Classification
Moritz Mock, Thomas Borsani, Giuseppe Di Fatta and Barbara Russo
CodeComClassify: Automating Code Comments Classification using BERT-based Language Models
Khubaib Amjad Alam, Wajid Ali, Nadeem Abbas, Muhammad Haroon, Summan Aziz, Meer Hashaam Khan and Zahoor Ahmad