An Industrial Workbench for Test Scenario Identification for Autonomous Driving Software. - Qunying Song; Kaige Tan; Per Runeson; Stefan Persson (AITest, 2021)

Concepts in Testing of Autonomous Systems: Academic Literature and Industry Practice. - Qunying Song; Emelie Engström; Per Runeson (WAIN@ICSE, 2021)

Exploring ML testing in practice: lessons learned from an interactive rapid review with axis communications. - Qunying Song; Markus Borg; Emelie Engström; Håkan Ardö; Sergio Rico (CAIN, 2022)

A Scenario Distribution Model for Effective and Efficient Testing of Autonomous Driving Systems. - Qunying Song; Per Runeson; Stefan Persson (ASE, 2022)

Industry-academia collaboration for realism in software engineering research: Insights and recommendations. - Qunying Song; Per Runeson (Inf. Softw. Technol., 2023)

Critical scenario identification for realistic testing of autonomous driving systems. - Qunying Song; Kaige Tan; Per Runeson; Stefan Persson (Softw. Qual. J., 2023)

Threats to validity in software engineering research: A critical reflection. - Roberto Verdecchia; Emelie Engström; Patricia Lago; Per Runeson; Qunying Song (Inf. Softw. Technol., 2023)

Threats to Validity in Software Engineering - hypocritical paper section or essential analysis? - Patricia Lago; Per Runeson; Qunying Song; Roberto Verdecchia (ESEM, 2024)

Generating Executable Test Scenarios from Autonomous Vehicle Disengagements using Natural Language Processing. - Qunying Song; Rune Anderberg; Henrik Olsson; Per Runeson (SEAMS@ICSE, 2024)

An Empirically Grounded Path Forward for Scenario-Based Testing of Autonomous Driving Systems. - Qunying Song; Emelie Engström; Per Runeson (SIGSOFT FSE Companion, 2024)

Critical Scenario Identification for Testing of Realistic Autonomous Driving Systems. - Qunying Song (2024)

NLP-TestGen. - Qunying Song; Rune Anderberg; Henrik Olsson; Per Runeson (Zenodo, 2024)

Industry Practices for Challenging Autonomous Driving Systems with Critical Scenarios. - Qunying Song; Emelie Engström; Per Runeson (ACM Trans. Softw. Eng. Methodol., 2024)

TTV Data Extraction. - Patricia Lago; Per Runeson; Qunying Song; Roberto Verdecchia (Zenodo, 2024)

Synthetic versus real: an analysis of critical scenarios for autonomous vehicle testing. - Qunying Song; Avner Bensoussan; Mohammad Reza Mousavi 001 (Autom. Softw. Eng., 2025)