E-LIB Suche - Ergebnisse für: Song, Qunying

1

Generating Executable Test Scenarios from Autonomous Vehicl..:

, In: 2024 IEEE/ACM 19th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS),

Song, Qunying ; Anderberg, Rune ; Olsson, Henrik. - p. 98-104 , 2024

Link: https://doi.org/10.1145/..

2

An Empirically Grounded Path Forward for Scenario-Based Tes..:

, In: Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering,

Song, Qunying ; Engström, Emelie ; Runeson, Per - p. 232-243 , 2024

Link: https://dl.acm.org/doi/1..

3

Generating Executable Test Scenarios from Autonomous Vehicl..:

, In: Proceedings of the 19th International Symposium on Software Engineering for Adaptive and Self-Managing Systems,

Song, Qunying ; Anderberg, Rune ; Olsson, Henrik. - p. 98-104 , 2024

Link: https://dl.acm.org/doi/1..

4

Industry Practices for Challenging Autonomous Driving Syste..:

Song, Qunying ; Engström, Emelie ; Runeson, Per
ACM Transactions on Software Engineering and Methodology. 33 (2024) 4 - p. 1-35 , 2024

Link: https://doi.org/10.1145/..

5

Industry-academia collaboration for realism in software eng..:

Song, Qunying ; Runeson, Per
Information and Software Technology. 156 (2023) - p. 107135 , 2023

Link: https://doi.org/10.1016/..

6

Threats to validity in software engineering research: A cri..:

Verdecchia, Roberto ; Engström, Emelie ; Lago, Patricia..
Information and Software Technology. 164 (2023) - p. 107329 , 2023

Link: https://doi.org/10.1016/..

7

Exploring ML testing in practice : lessons learned from ..:

, In: Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI,

Song, Qunying ; Borg, Markus ; Engström, Emelie.. - p. 10-21 , 2022

Link: https://dl.acm.org/doi/1..

8

Critical scenario identification for realistic testing of a..:

Song, Qunying ; Tan, Kaige ; Runeson, Per.
Software Quality Journal. 31 (2022) 2 - p. 441-469 , 2022

Link: https://doi.org/10.1007/..

9

A Scenario Distribution Model for Effective and Efficient T..:

, In: Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering,

Song, Qunying ; Runeson, Per ; Persson, Stefan - p. 1-8 , 2022

Link: https://dl.acm.org/doi/1..

10

Exploring ML testing in practice – Lessons learned from an ..:

, In: 2022 IEEE/ACM 1st International Conference on AI Engineering – Software Engineering for AI (CAIN),

Song, Qunying ; Borg, Markus ; Engstrom, Emelie.. - p. 10-21 , 2022

Link: https://doi.org/10.1145/..

11

Industry Practices for Challenging Autonomous Driving Syste..:

Song, Qunying ; Engström, Emelie ; Runeson, Per
http://arxiv.org/abs/2305.14146. , 2023

Link: http://arxiv.org/abs/230..

12

Exploring ML testing in practice - Lessons learned from an ..:

Song, Qunying ; Borg, Markus ; Engström, Emelie..
https://lup.lub.lu.se/record/1eb11df2-93f5-4998-91ba-497ae2fc1c44. , 2022

Link: https://lup.lub.lu.se/re..

13

Critical Scenario Identification for Testing of Autonomous ..:

Song, Qunying
https://lup.lub.lu.se/record/4b7d39b9-0dcd-4a43-9068-4b314e0437b7. , 2022

Link: https://lup.lub.lu.se/re..

14

Exploring ML testing in practice -- Lessons learned from an..:

Song, Qunying ; Borg, Markus ; Engström, Emelie..
http://arxiv.org/abs/2203.16225. , 2022

Link: http://arxiv.org/abs/220..

15

Concepts in Testing of Autonomous Systems: Academic Literat..:

Song, Qunying ; Engström, Emelie ; Runeson, Per
http://arxiv.org/abs/2103.07157. , 2021

Link: http://arxiv.org/abs/210..