Volgen
Miroslaw Staron
Miroslaw Staron
Software engineering, University of Gothenburg
Geverifieerd e-mailadres voor gu.se - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
Empirical standards for software engineering research
P Ralph, N Ali, S Baltes, D Bianculli, J Diaz, Y Dittrich, N Ernst, M Felderer, ...
arXiv preprint arXiv:2010.03525, 2020
198*2020
Adopting model driven software development in industry–a case study at two companies
M Staron
Model Driven Engineering Languages and Systems, 57-72, 2006
1582006
Automotive software architectures
M Staron
Springer, 2021
1392021
Action research in software engineering
M Staron
Springer International Publishing, 2020
1362020
A framework for developing measurement systems and its industrial evaluation
M Staron, W Meding, C Nilsson
Information and Software Technology 51 (4), 721-737, 2009
1132009
An empirical study on using stereotypes to improve understanding of UML models
L Kuzniarz, M Staron, C Wohlin
Program Comprehension, 2004. Proceedings. 12th IEEE International Workshop …, 2004
992004
Developing measurement systems: an industrial case study
M Staron, W Meding, G Karlsson, C Nilsson
Journal of Software Maintenance and Evolution: Research and Practice 23 (2 …, 2011
942011
Selecting software reliability growth models and improving their predictive accuracy using historical projects data
R Rana, M Staron, C Berger, J Hansson, M Nilsson, F Törner, W Meding, ...
Journal of Systems and Software 98, 59-78, 2014
832014
Release readiness indicator for mature agile and lean software development projects
M Staron, W Meding, K Palm
International Conference on Agile Software Development, 93-107, 2012
832012
Empirical assessment of using stereotypes to improve comprehension of UML models: a set of experiments
M Staron, L Kuzniarz, C Wohlin
Journal of Systems and Software 79 (5), 727-742, 2006
832006
Software traceability in the automotive domain: Challenges and solutions
S Maro, JP Steghöfer, M Staron
Journal of Systems and Software 141, 85-110, 2018
802018
Predicting weekly defect inflow in large software projects based on project planning and test status
M Staron, W Meding
Information and Software Technology 50 (7-8), 782-796, 2008
752008
Ensuring reliability of information provided by measurement systems
M Staron, W Meding
Software Process and Product Measurement, 1-16, 2009
732009
Evaluating code complexity triggers, use of complexity measures and the influence of code complexity on maintenance time
V Antinyan, M Staron, A Sandberg
Empirical Software Engineering 22, 3057-3087, 2017
712017
A framework for adoption of machine learning in industry for software defect prediction
R Rana, M Staron, J Hansson, M Nilsson, W Meding
2014 9th International Conference on Software Engineering and Applications …, 2014
712014
Monitoring Bottlenecks in Agile and Lean Software Development Projects–A Method and Its Industrial Use
M Staron, W Meding
Product-Focused Software Process Improvement, 3-16, 2011
682011
A method for forecasting defect backlog in large streamline software development projects and its industrial evaluation
M Staron, W Meding, B Soderqvist
Information and Software Technology 52 (10), 1069-1079, 2010
682010
Critical role of measures in decision processes: Managerial and technical measures in the context of large software development organizations
M Staron
Information and Software Technology 54 (8), 887-899, 2012
672012
Identifying risky areas of software code in Agile/Lean software development: An industrial experience report
V Antinyan, M Staron, W Meding, P Österström, E Wikstrom, J Wranker, ...
2014 Software Evolution Week-IEEE Conference on Software Maintenance …, 2014
652014
Supporting Continuous Integration by Code-Churn Based Test Selection
E Knauss, M Staron, W Meding, O Soder, A Nilsson, M Castell
2nd Workshop on Rapid and Continuous Software Engineering (ICSE 2015), 2015
572015
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20