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Jürgen Börstler
Jürgen Börstler
Professor of Software Engineering, Blekinge Institute of Technology (BTH), SERL-Sweden
Verified email at bth.se - Homepage
Title
Cited by
Cited by
Year
Industrial adoption of machine learning techniques for early identification of invalid bug reports
M Laiq, N Ali, J Börstler, E Engström
Empirical Software Engineering 29 (5), 130, 2024
2024
Introducing Code Quality in the CS1 Classroom
C Izu, C Mirolo, J Börstler, H Connamacher, R Crosby, R Glassey, ...
Proceedings of the 2024 on Innovation and Technology in Computer Science …, 2024
2024
Revisiting the construct and assessment of industrial relevance in software engineering research
K Petersen, J Börstler, N bin Ali, E Engström
WSESE 2024, 17, 2024
12024
Acceptance behavior theories and models in software engineering—A mapping study
J Börstler, N bin Ali, K Petersen, E Engström
Information and Software Technology, 107469, 2024
12024
A data-driven approach for understanding invalid bug reports: An industrial case study
M Laiq, N bin Ali, J Börstler, E Engström
Information and Software Technology 164, 107305, 2023
2023
Developers talking about code quality
J Börstler, KE Bennin, S Hooshangi, J Jeuring, H Keuning, C Kleiner, ...
Empirical Software Engineering 28 (6), 128, 2023
42023
Lessons learned from replicating a study on information-retrieval-based test case prioritization
N Mehmood Minhas, M Irshad, K Petersen, J Börstler
Software Quality Journal 31 (4), 1527-1559, 2023
12023
A tertiary study on links between source code metrics and external quality attributes
U Iftikhar, NB Ali, J Börstler, M Usman
Information and Software Technology 165, 107348, 2023
12023
Double-counting in software engineering tertiary studies—An overlooked threat to validity
J Börstler, N bin Ali, K Petersen
Information and Software Technology 158, 107174, 2023
32023
A Catalog of Source Code Metrics–A Tertiary Study
U Iftikhar, NB Ali, J Börstler, M Usman
Proceedings of the 15th International Software Quality Days, 87-106, 2023
12023
Checklists to support decision-making in regression testing
NM Minhas, J Börstler, K Petersen
Journal of Systems and Software 202, 111697, 2023
2023
Using goal–question–metric to compare research and practice perspectives on regression testing
NM Minhas, T Reddy Koppula, K Petersen, J Börstler
Journal of Software: Evolution and Process 35 (2), e2506, 2023
2023
Investigating acceptance behavior in software engineering–Theoretical perspectives
J Börstler, N bin Ali, M Svensson, K Petersen
Journal of Systems and Software 198, 111592, 2023
62023
On potential improvements in the analysis of the evolution of themes in code review comments
U Iftikhar, J Börstler, N Ali
Proceedings of the 49th Euromicro Conference on Software Engineering and …, 2023
12023
How good are my search strings? Reflections on using an existing review as a quasi-gold standard
HKV Tran, J Börstler, N bin Ali, M Unterkalmsteiner
e-Informatica 16 (1), 2022
72022
Understanding the Experience of Code Review: Misalignments, Attention, and Units of Analysis
E Söderberg, L Church, J Börstler, D Niehorster, C Rydenfält
Proceedings of the 25th International Conference on Evaluation and …, 2022
82022
What's bothering developers in code review?
E Söderberg, L Church, J Börstler, DC Niehorster, C Rydenfält
Proceedings of the 44th International Conference on Software Engineering …, 2022
32022
An empirical study on the effectiveness of data resampling approaches for cross‐project software defect prediction
KE Bennin, A Tahir, SG MacDonell, J Börstler
IET Software 16 (2), 185-199, 2022
262022
Early Identification of Invalid Bug Reports in Industrial Settings–A Case Study
Muhammad Laiq, Nauman bin Ali, Jürgen Börstler, Emelie Engström
Proceedings of the 23rd International Conference on Product-Focused Software …, 2022
32022
Supporting refactoring of BDD specifications–An empirical study
M Irshad, J Börstler, K Petersen
Information and Software Technology 141, 106717, 2022
112022
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