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ORCIDQunying Song
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2020 – today
- 2024
[b1]Qunying Song:
Critical Scenario Identification for Testing of Realistic Autonomous Driving Systems. Lund University, Sweden, 2024- [j4]Qunying Song
, Emelie Engström, Per Runeson:
Industry Practices for Challenging Autonomous Driving Systems with Critical Scenarios. ACM Trans. Softw. Eng. Methodol. 33(4): 99:1-99:35 (2024) - [c7]Patricia Lago, Per Runeson, Qunying Song, Roberto Verdecchia:
Threats to Validity in Software Engineering - hypocritical paper section or essential analysis? ESEM 2024: 314-324 - [c6]Qunying Song, Rune Anderberg, Henrik Olsson, Per Runeson:
Generating Executable Test Scenarios from Autonomous Vehicle Disengagements using Natural Language Processing. SEAMS@ICSE 2024: 98-104 - [c5]Qunying Song, Emelie Engström, Per Runeson:
An Empirically Grounded Path Forward for Scenario-Based Testing of Autonomous Driving Systems. SIGSOFT FSE Companion 2024: 232-243 - 2023
- [j3]Qunying Song, Per Runeson:
Industry-academia collaboration for realism in software engineering research: Insights and recommendations. Inf. Softw. Technol. 156: 107135 (2023) - [j2]Roberto Verdecchia, Emelie Engström, Patricia Lago, Per Runeson, Qunying Song:
Threats to validity in software engineering research: A critical reflection. Inf. Softw. Technol. 164: 107329 (2023) - [j1]Qunying Song, Kaige Tan, Per Runeson, Stefan Persson:
Critical scenario identification for realistic testing of autonomous driving systems. Softw. Qual. J. 31(2): 441-469 (2023) - [i3]Qunying Song, Emelie Engström, Per Runeson:
Industry Practices for Challenging Autonomous Driving Systems with Critical Scenarios. CoRR abs/2305.14146 (2023) - 2022
- [c4]Qunying Song, Markus Borg, Emelie Engström, Håkan Ardö, Sergio Rico:
Exploring ML testing in practice: lessons learned from an interactive rapid review with axis communications. CAIN 2022: 10-21 - [c3]Qunying Song, Per Runeson, Stefan Persson:
A Scenario Distribution Model for Effective and Efficient Testing of Autonomous Driving Systems. ASE 2022: 215:1-215:8 - [i2]Qunying Song, Markus Borg, Emelie Engström, Håkan Ardö, Sergio Rico:
Exploring ML testing in practice - Lessons learned from an interactive rapid review with Axis Communications. CoRR abs/2203.16225 (2022) - 2021
- [c2]Qunying Song, Kaige Tan, Per Runeson, Stefan Persson:
An Industrial Workbench for Test Scenario Identification for Autonomous Driving Software. AITest 2021: 81-82 - [c1]Qunying Song, Emelie Engström, Per Runeson:
Concepts in Testing of Autonomous Systems: Academic Literature and Industry Practice. WAIN@ICSE 2021: 74-81 - [i1]Qunying Song, Emelie Engström, Per Runeson:
Concepts in Testing of Autonomous Systems: Academic Literature and Industry Practice. CoRR abs/2103.07157 (2021)
Coauthor Index
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