Stefan Biffl
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Stefan Biffl has a total of 184 co-authors. Here are the top co-authors by number of shared publications:
- Dietmar Winkler
Technische Universität Wien
18 shared publications - Kristof Meixner
TU Wien
13 shared publications - Arndt Lüder
Institute for Engineering of Products and Systems (IEPS), Otto von Guericke University Magdeburg, Universitätsplatz 2, 39106 Magdeburg, Germany
12 shared publications - Felix Rinker
Technische Universität Wien
9 shared publications - Laura Waltersdorfer
Vienna University of Economics and Business, Vienna, Austria
6 shared publications Arndt Lüder
Otto-v.-Guericke University/IAF
5 shared publications
Latest Publications
- 22 April 2026
- Published by Springer Nature
- p. 42-62
Business Intelligence Architecture for Process Quality Monitoring with BDD
- 22 April 2026
- Published by Springer Nature
- p. 42-62
Business Intelligence Architecture for Process Quality Monitoring with BDD
- Open Access
- 12 April 2026
- Published by Association for Computing Machinery (ACM)
- p. 45-52
Attributes to Support the Formulation of Practically Relevant Research Problems in Software Engineering
- 12 April 2026
- Published by Association for Computing Machinery (ACM)
- p. 45-52
Open AccessAttributes to Support the Formulation of Practically Relevant Research Problems in Software Engineering
- Open Access
Attributes to Support the Formulation of Practically Relevant Research Problems in Software Engineering
[Background] A well-formulated research problem is essential for achieving practical relevance in Software Engineering (SE), yet there is a lack of structured guidance in this early phase. [Aims] Our goal is to introduce and evaluate seven attributes identified in the SE literature as relevant for formulating research problems (practical problem, context, implications/impacts, practitioners, evidence, objective, and research questions) in terms of their perceived importance and completeness, and learn how they can be applied. [Method] We conducted a workshop with 42 senior SE researchers during the ISERN 2024 meeting. The seven attributes were presented using a Problem Vision board filled with a research example. Participants discussed attributes in groups, shared written feedback, and individually completed a survey assessing their importance, completeness, and suggestions for improvement. [Results] The findings confirm the importance of the seven attributes in the formulation of industry-oriented research problems. Qualitative feedback illustrated how they can be applied in practice and revealed suggestions to refine them, such as incorporating financial criteria (e.g., ROI) into implications/impacts and addressing feasibility and constraints under evidence. [Conclusion] The results reaffirm the importance of the seven attributes in supporting a reflective and context-aware problem formulation. Adapting their use to specific research contexts can help to improve the alignment between academic research and industry needs.
Open AccessAttributes to Support the Formulation of Practically Relevant Research Problems in Software Engineering
[Background] A well-formulated research problem is essential for achieving practical relevance in Software Engineering (SE), yet there is a lack of structured guidance in this early phase. [Aims] Our goal is to introduce and evaluate seven attributes identified in the SE literature as relevant for formulating research problems (practical problem, context, implications/impacts, practitioners, evidence, objective, and research questions) in terms of their perceived importance and completeness, and learn how they can be applied. [Method] We conducted a workshop with 42 senior SE researchers during the ISERN 2024 meeting. The seven attributes were presented using a Problem Vision board filled with a research example. Participants discussed attributes in groups, shared written feedback, and individually completed a survey assessing their importance, completeness, and suggestions for improvement. [Results] The findings confirm the importance of the seven attributes in the formulation of industry-oriented research problems. Qualitative feedback illustrated how they can be applied in practice and revealed suggestions to refine them, such as incorporating financial criteria (e.g., ROI) into implications/impacts and addressing feasibility and constraints under evidence. [Conclusion] The results reaffirm the importance of the seven attributes in supporting a reflective and context-aware problem formulation. Adapting their use to specific research contexts can help to improve the alignment between academic research and industry needs.
- Open Access
- 10 August 2025
- Published by Elsevier in Information and Software Technology
- Vol. 187
Naming the Pain in machine learning-enabled systems engineering
- 10 August 2025
- Published by Elsevier in Information and Software Technology
- Vol. 187
Open AccessNaming the Pain in machine learning-enabled systems engineering
- Open Access
Towards Unified Field-Testing and Monitoring for Safe and Secure Robotic Applications
Accepted for publication at the 7th International Workshop on Robotics Software Engineering
Open AccessTowards Unified Field-Testing and Monitoring for Safe and Secure Robotic Applications
Accepted for publication at the 7th International Workshop on Robotics Software Engineering
- 8 November 2024
- Published by Springer Nature
- p. 787-825
Prozessunterstützung für modellorientiertes Engineering von CPPS von der Konzeptphase bis zur virtuellen Inbetriebnahme
- 8 November 2024
- Published by Springer Nature
- p. 787-825
Prozessunterstützung für modellorientiertes Engineering von CPPS von der Konzeptphase bis zur virtuellen Inbetriebnahme
- 8 November 2024
- Published by Springer Nature
- p. 875-907
Modellunterstützte Qualitätssicherung von Engineering-Daten industrieller Produktionssysteme
- 8 November 2024
- Published by Springer Nature
- p. 875-907
Modellunterstützte Qualitätssicherung von Engineering-Daten industrieller Produktionssysteme
- Open Access
- 2 September 2024
- Published by Association for Computing Machinery (ACM)
- p. 219
Variability modeling of products, processes, and resources in cyber-physical production systems engineering
This extended abstract summarizes our Journal of Systems and Software paper [1] with the same name from February 2024.
- 2 September 2024
- Published by Association for Computing Machinery (ACM)
- p. 219
Open AccessVariability modeling of products, processes, and resources in cyber-physical production systems engineering
This extended abstract summarizes our Journal of Systems and Software paper [1] with the same name from February 2024.
- 3 June 2024
- Published by Springer Nature
- p. 492-508
Configuring and Validating Multi-aspect Risk Knowledge for Industry 4.0 Information Systems
- 3 June 2024
- Published by Springer Nature
- p. 492-508
Configuring and Validating Multi-aspect Risk Knowledge for Industry 4.0 Information Systems
- 12 April 2024
- Published by Springer Nature
- p. 112-131
ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems
- 12 April 2024
- Published by Springer Nature
- p. 112-131
ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems