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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- 2026
-
Mark
What do we know about software analytics research? : A critical review of secondary studies
Laiq, Muhammad ; Ali, Nauman bin ; Börstler, Jürgen and Engström, Emelie LU
(2026)
51st Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2025
In Lecture Notes in Computer Science
16082 LNCS.
p.389-404
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 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
Monitoring data for anomaly detection in cloud-based systems : a systematic mapping study
Hrusto, Adha LU
; Ali, Nauman Bin
; Engström, Emelie
LU
and Wang, Yuqing
(2025)
In ACM Transactions on Software Engineering and Methodology
- 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
-
Mark
Towards sustainable DevOps for cyber physical systems
Palesetti, Pushpa Priyanka LU ; Engström, Emelie LU
; Söderberg, Emma
LU
; Hameed Jasim, Al-Hussein
; Bexell, Andreas
LU
; Korkakakis, Nikolaos
LU
; Aminifar, Amir
LU
; Lagerstedt, Robert
; Olsson, Pontus
and Sigurdson, Per
, et al.
(2025)
33rd ACM International Conference on the Foundations of Software
Engineering p.1437-1440- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2024
-
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
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
-
Mark
Software analytics for software engineering: A tertiary review
Laiq, Muhammad ; bin Ali, Nauman ; Börstler, Jürgen and Engström, Emelie LU
(2024)
- Working paper/Preprint › Preprint in preprint archive
-
Mark
Software analytics for software engineering : a systematic mapping study
Laiq, Muhammad ; bin Ali, Nauman ; Börstler, Jürgen and Engström, Emelie LU
(2024)
- Working paper/Preprint › Preprint in preprint archive