This program is tentative and subject to change.

Wed 3 Sep 2025 11:00 - 11:30 at Room 1.1 - Mining Requirements Repositories Chair(s): Quim Motger

Issue Tracking Systems (ITSs) serve multiple purposes in software development: they represent requirements and bugs, facilitate communication between team members, and support project management by assigning tasks. As software systems and projects increase in complexity, the number of work items and their relationships grows considerably, forming a complex network that is difficult and time-consuming for team members to navigate using traditional ITSs. Motivated by the interest of two companies in exploring the use of Artificial Intelligence in software development, we introduce the GraphRAG Dialogue Insights (GDI) framework. GDI uses knowledge graphs, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs) to enable users to query work items in natural language (NL). In addition to a NL response, GDI returns supporting information to help users understand how the LLMs queried the knowledge graph. We empirically validate GDI through two proof-of-concept implementations, each addressing a use case: i) onboarding and ii) trace link recovery. Initial user-centered validations indicate that practitioners find the system intuitive, useful, and accurate in generating responses. Moreover, they express willingness to adopt the system and identify additional potential use cases, including impact analysis, troubleshooting, and issue resolution. However, further refinement is required to deploy the system in practice.

This program is tentative and subject to change.

Wed 3 Sep

Displayed time zone: Brussels, Copenhagen, Madrid, Paris change

11:00 - 12:30
Mining Requirements RepositoriesResearch Papers / Industrial Innovation Track at Room 1.1
Chair(s): Quim Motger Universitat Politècnica de Catalunya
11:00
30m
Paper
Navigating through Work Items in Issue Tracking Systems via Natural Language Queries
Industrial Innovation Track
Delina Ly VX Company, Utrecht University , Sruthi Radhakrishnan , Fatma Başak Aydemir Utrecht University, Fabiano Dalpiaz Utrecht University
Pre-print
11:30
30m
Paper
LSRM: A Hybrid LLM-SBERT Approach for Mapping User Requirements to Product Functionalities in Complex Products
Research Papers
Bin Liang Renmin University of China, Zhiwei Zhang The Chinese University of Hong Kong, Kam-Fai Wong The Chinese University of Hong Kong
12:00
30m
Paper
Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software
Research Papers
Pragyan K C University of Texas at San Antonio, Rambod Ghandiparsi University of Texas at San Antonio, Thomas Herron University of Texas at San Antonio, John Heaps University of Texas at San Antonio, Mitra Bokaei Hosseini University of Texas at San Antonio
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