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Works (10)

Threats to Validity in Software Engineering – hypocritical paper section or essential analysis?

2024-10-24 | Conference paper
Contributors: Patricia Lago; Per Runeson; Qunying Song; Roberto Verdecchia
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An Empirically Grounded Path Forward for Scenario-Based Testing of Autonomous Driving Systems

2024-07-10 | Conference paper
Contributors: Qunying Song; Emelie Engström; Per Runeson
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Industry Practices for Challenging Autonomous Driving Systems with Critical Scenarios

ACM Transactions on Software Engineering and Methodology
2024-05-31 | Journal article
Contributors: Qunying Song; Emelie Engström; Per Runeson
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Generating Executable Test Scenarios from Autonomous Vehicle Disengagements using Natural Language Processing

2024-04-15 | Conference paper
Contributors: Qunying Song; Rune Anderberg; Henrik Olsson; Per Runeson
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Threats to validity in software engineering research: A critical reflection

Information and Software Technology
2023-12 | Journal article
Contributors: Roberto Verdecchia; Emelie Engström; Patricia Lago; Per Runeson; Qunying Song
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Critical scenario identification for realistic testing of autonomous driving systems

Software Quality Journal
2023-06 | Journal article
Contributors: Qunying Song; Kaige Tan; Per Runeson; Stefan Persson
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Industry-academia collaboration for realism in software engineering research: Insights and recommendations

Information and Software Technology
2023-04 | Journal article
Contributors: Qunying Song; Per Runeson
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Critical Scenario Identification for Realistic Testing of Autonomous Driving Systems

2023-04-14 | Preprint
Contributors: Qunying Song; Kaige Tan; Per Runeson; Stefan Persson
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A Scenario Distribution Model for Effective and Efficient Testing of Autonomous Driving Systems

2022-10-10 | Conference paper
Contributors: Qunying Song; Per Runeson; Stefan Persson
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Critical Scenario Identification for Realistic Testing of Autonomous Driving Systems

2022-01-20 | Preprint
Contributors: Qunying Song; Kaige Tan; Per Runeson; Stefan Persson
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Peer review (1 review for 1 publication/grant)

Review activity for Empirical software engineering. (1)