activity
20222026
most citedLTM: Scalable and Black-box Similarity-based Test Suite Minimization based on Language Models

12 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2026

Supporting System Testing with a Multi-Agent LLM-based Framework for Knowledge Graph Extraction: A Case Study with Ethernet Switch Systems

Rongqi Pan, Mahboubeh Dadkhah, Jean Baptiste Minani +3

Technical documents contain rich domain knowledge for automating downstream tasks such as system testing. While this paper focuses on Ethernet switch configuration manuals (ESCMs),…

cs.SE2025

Requirements Coverage-Guided Minimization for Natural Language Test Cases

Rongqi Pan, Feifei Niu, Lionel C. Briand +1

As software systems evolve, test suites tend to grow in size and often contain redundant test cases. Such redundancy increases testing effort, time, and cost. Test suite minimizati…

cs.SE2025

TVR: Automotive System Requirement Traceability Validation and Recovery Through Retrieval-Augmented Generation

Feifei Niu, Rongqi Pan, Lionel C. Briand +1

In automotive software development, as well as other domains, traceability between stakeholder requirements and system requirements is crucial to ensure consistency, correctness, a…

cs.SE2023★ 12 cited

LTM: Scalable and Black-box Similarity-based Test Suite Minimization based on Language Models

Rongqi Pan, Taher A. Ghaleb, Lionel Briand

Test suites tend to grow when software evolves, making it often infeasible to execute all test cases with the allocated testing budgets, especially for large software systems. Test…

cs.SE2022★ 1 cited

ATM: Black-box Test Case Minimization based on Test Code Similarity and Evolutionary Search

Rongqi Pan, Taher A. Ghaleb, Lionel Briand

Executing large test suites is time and resource consuming, sometimes impossible, and such test suites typically contain many redundant test cases. Hence, test case minimization is…