Emelie Engström
- Department of Computer Science
- Software Engineering Research Group
- LTH School of Engineering in Helsingborg
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- Computer Science and Engineering (M.Sc.Eng.)
- LTH Profile Area: AI and Digitalization
- LU Profile Area: Natural and Artificial Cognition
- Information and Communications Engineering (M.Sc.Eng.)
- NEXTG2COM – a Vinnova Competence Centre in Advanced Digitalisation
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- 2025
-
Mark
A comparative analysis of ML techniques for bug report classification
Laiq, Muhammad ; Ali, Nauman bin ; Börstler, Jürgen and Engström, Emelie LU
(2025)
In Journal of Systems and Software
227.
- Contribution to journal › Article
-
Mark
AI Act high-risk AI compliance challenge and industry impact : a multiple case study
Wagner, Matthias LU
; Song, Qunying
LU
; Borg, Markus
LU
; Engström, Emelie
LU
and Lysek, Michal
(2025)
In Journal of Systems and Software
- Contribution to journal › Article
- 2024
-
Mark
Experiences from conducting rapid reviews in collaboration with practitioners — Two industrial cases
Rico, Sergio LU
; bin Ali, Nauman
; Engström, Emelie
LU
and Höst, Martin
LU
(2024)
In Information and Software Technology
167.
- Contribution to journal › Article
-
Mark
An Empirically Grounded Path Forward for Scenario-Based Testing of Autonomous Driving Systems
Song, Qunying LU
; Engström, Emelie
LU
and Runeson, Per
LU
(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
-
Mark
Adopting automated bug assignment in practice — a longitudinal case study at Ericsson
Borg, Markus LU ; Jonsson, Leif ; Engström, Emelie LU
; Bartalos, Béla
and Szabó, Attila J.
(2024)
In Empirical Software Engineering
29(5).
- Contribution to journal › Article
-
Mark
Revisiting the construct and assessment of industrial relevance in software engineering research within
Petersen, Kai ; Börstler, Jürgen ; bin Ali, Nauman and Engström, Emelie LU
(2024)
International Workshop on Methodological Issues with Empirical Studies in Software Engineering, WSESE 2024
p.17-20
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Industrial adoption of machine learning techniques for early identification of invalid bug reports
Laiq, Muhammad ; bin Ali, Nauman ; Börstler, Jürgen and Engström, Emelie LU
(2024)
In Empirical Software Engineering
29(5).
- Contribution to journal › Article
-
Mark
Industry Practices for Challenging Autonomous Driving Systems with Critical Scenarios
Song, Qunying LU
; Engström, Emelie
LU
and Runeson, Per
LU
(2024)
In ACM Transactions on Software Engineering and Methodology
33(4).
- Contribution to journal › Article
-
Mark
Acceptance behavior theories and models in software engineering—A mapping study
Börstler, Jürgen ; Ali, Nauman Bin ; Petersen, Kai and Engström, Emelie LU
(2024)
In Information and Software Technology
172.
- Contribution to journal › Article
-
Mark
AI Act high-risk requirements readiness : industrial perspectives and case company insights
Wagner, Matthias LU
; Gupta, Rushali
LU
; Borg, Markus
LU
; Engström, Emelie
LU
and Lysek, Michal
(2024)
25th International Conference on Product-Focused Software Process Improvement, PROFES 2024
In Lecture Notes in Computer Science (LNCS)
15453.
p.67-83
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding