1 – 10 of 11
- show: 10
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=" "
width=" "
height=" "
allowtransparency="true"
frameborder="0">
</iframe>
- 2024
-
Mark
Industry Practices for Challenging Autonomous Driving Systems with Critical Scenarios
(
- Contribution to journal › Article
-
Mark
Generating Executable Test Scenarios from Autonomous Vehicle Disengagements using Natural Language Processing
2024) p.98-104(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
An Empirically Grounded Path Forward for Scenario-Based Testing of Autonomous Driving Systems
2024) 32nd ACM International Conference on the Foundations of Software Engineering, FSE Companion In FSE Companion - Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering p.232-243(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2023
-
Mark
Threats to validity in software engineering research: A critical reflection
2023) In Information and Software Technology(
- Contribution to journal › Article
-
Mark
Critical scenario identification for realistic testing of autonomous driving systems
(
- Contribution to journal › Article
-
Mark
Industry-academia collaboration for realism in software engineering research : Insights and recommendations
(
- Contribution to journal › Article
- 2022
-
Mark
A Scenario Distribution Model for Effective and Efficient Testing of Autonomous Driving Systems
2022) AUST 2022 : The First Workshop on Autonomous Software Testing(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Critical Scenario Identification for Testing of Autonomous Driving Systems
2022)(
- Thesis › Licentiate thesis
-
Mark
Exploring ML testing in practice - Lessons learned from an interactive rapid review with Axis Communications
2022) 2022 IEEE/ACM 1st International Conference on AI Engineering – Software Engineering for AI (CAIN)(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2021
-
Mark
An Industrial Workbench for Test Scenario Identification for Autonomous Driving Software
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding