| 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 | 113 | 2009 |
| 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 | 94 | 2011 |
| 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 | 84 | 2012 |
| 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 | 83 | 2014 |
| 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 | 76 | 2008 |
| Ensuring reliability of information provided by measurement systems M Staron, W Meding International Workshop on Software Measurement, 1-16, 2009 | 73 | 2009 |
| 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 | 70 | 2014 |
| A method for forecasting defect backlog in large streamline software development projects and its industrial evaluation M Staron, W Meding, B Söderqvist Information and Software Technology 52 (10), 1069-1079, 2010 | 69 | 2010 |
| 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 | 67 | 2014 |
| Monitoring bottlenecks in agile and lean software development projects–a method and its industrial use M Staron, W Meding International Conference on Product Focused Software Process Improvement, 3-16, 2011 | 67 | 2011 |
| Supporting continuous integration by code-churn based test selection E Knauss, M Staron, W Meding, O Söder, A Nilsson, M Castell 2015 IEEE/ACM 2nd International Workshop on Rapid Continuous Software …, 2015 | 58 | 2015 |
| Dashboards for continuous monitoring of quality for software product under development M Staron, W Meding, J Hansson, C Höglund, K Niesel, V Bergmann Relating System Quality and Software Architecture, 209-229, 2014 | 56 | 2014 |
| Measuring and visualizing code stability--a case study at three companies M Staron, J Hansson, R Feldt, A Henriksson, W Meding, S Nilsson, ... 2013 Joint Conference of the 23rd International Workshop on Software …, 2013 | 54 | 2013 |
| Software development measurement programs M Staron, W Meding Springer. https://doi. org/10.1007/978-3-319-91836-5 10, 3281333, 2018 | 50 | 2018 |
| Using machine learning to design a flexible loc counter M Ochodek, M Staron, D Bargowski, W Meding, R Hebig 2017 IEEE Workshop on Machine Learning Techniques for Software Quality …, 2017 | 42 | 2017 |
| Analyzing defect inflow distribution and applying Bayesian inference method for software defect prediction in large software projects R Rana, M Staron, C Berger, J Hansson, M Nilsson, W Meding Journal of Systems and Software 117, 229-244, 2016 | 39 | 2016 |
| Presenting software metrics indicators: a case study K Pandazo, A Shollo, M Staron, W Meding Proceedings of the 20th international conference on Software Product and …, 2010 | 38 | 2010 |
| Recognizing lines of code violating company-specific coding guidelines using machine learning: A Method and Its Evaluation M Ochodek, R Hebig, W Meding, G Frost, M Staron Empirical Software Engineering 25 (1), 220-265, 2020 | 37 | 2020 |
| The adoption of machine learning techniques for software defect prediction: An initial industrial validation R Rana, M Staron, C Berger, J Hansson, M Nilsson, W Meding Knowledge-Based Software Engineering: 11th Joint Conference, JCKBSE 2014 …, 2014 | 32 | 2014 |
| Predicting short-term defect inflow in large software projects–an initial evaluation M Staron, W Meding 11th International Conference on Evaluation and Assessment in Software …, 2007 | 32 | 2007 |
Miroslaw StaronSoftware engineering, University of GothenburgVerifierad e-postadress på gu.se