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- 2023
-
Mark
Critical scenario identification for realistic testing of autonomous driving systems
Song, Qunying LU
; Tan, Kaige
; Runeson, Per
LU
and Persson, Stefan
LU
(2023)
In Software Quality Journal
31(2).
p.441-469
- Contribution to journal › Article
-
Mark
U Owns the Code That Changes and How Marginal Owners Resolve Issues Slower in Low-Quality Source Code
(2023) p.368-377
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Threats to validity in software engineering research: A critical reflection
Verdecchia, Roberto ; Engström, Emelie LU
; Lago, Patricia
; Runeson, Per
LU
and Song, Qunying
LU
(2023)
In Information and Software Technology
- Contribution to journal › Article
-
Mark
A Literature Survey of Assertions in Software Testing
Taromirad, Masoumeh LU and Runeson, Per LU
(2023)
8th International Conference on the Engineering of Computer Based Systems, ECBS 2023
In Lecture Notes in Computer Science
14390.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
A data-driven approach for understanding invalid bug reports: An industrial case study
Laiq, Muhammad ; Ali, Nauman Bin ; Börstler, Jürgen and Engström, Emelie LU
(2023)
In Information and Software Technology
164.
- Contribution to journal › Article
-
Mark
An ecosystem perspective on developing data collaboratives for addressing societal issues : The role of conveners
Susha, Iryna ; van den Broek, Tijs ; van Veenstra, Anne Fleur and Linåker, Johan LU
(2023)
In Government Information Quarterly
40(1).
- Contribution to journal › Article
-
Mark
Pipeline Infrastructure Required to Meet the Requirements on AI
- Contribution to journal › Article
-
Mark
Applying Machine Learning to Gaze Data in Software Development: a Mapping Study
Kuang, Peng LU
; Söderberg, Emma
LU
; Niehorster, Diederick C
LU
and Höst, Martin
LU
(2023)
Eleventh International Workshop on Eye Movements in Programming, EMIP 2023
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Ergo, SMIRK is safe : a safety case for a machine learning component in a pedestrian automatic emergency brake system
- Contribution to journal › Article
-
Mark
My Space, Our Space, Their Space: a First Glance at Developers' Experience of Spaces
Church, Luke LU ; Söderberg, Emma LU
and Höst, Martin
LU
(2023)
The 9th Edition of the Programming Experience Workshop
p.48-53
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding