| 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 | 80 | 2014 |
| 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 | 64 | 2014 |
| Evaluating long-term predictive power of standard reliability growth models on automotive systems R Rana, M Staron, C Berger, J Hansson, M Nilsson, F Törner 2013 IEEE 24th International Symposium on Software Reliability Engineering …, 2013 | 55 | 2013 |
| Increasing efficiency of iso 26262 verification and validation by combining fault injection and mutation testing with model based development R Rana, M Staron, C Berger, J Hansson, M Nilsson, F Törner International Conference on Software Engineering and Applications 2, 251-257, 2013 | 45 | 2013 |
| Evaluation of standard reliability growth models in the context of automotive software systems R Rana, M Staron, N Mellegård, C Berger, J Hansson, M Nilsson, ... Product-Focused Software Process Improvement: 14th International Conference …, 2013 | 38 | 2013 |
| Improving fault injection in automotive model based development using fault bypass modeling R Rana, M Staron, C Berger, J Hansson, M Nilsson, F Törner Gesellschaft für Informatik eV, 2013 | 32 | 2013 |
| 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 | 27 | 2014 |
| Defect prediction over software life cycle in automotive domain state of the art and road map for future R Rana, M Staron, J Hansson, M Nilsson 2014 9th International Conference on Software Engineering and Applications …, 2014 | 23 | 2014 |
| Do anti-takeover devices affect the takeover likelihood or the takeover premium? M Holmén, E Nivorozhkin, R Rana The European Journal of Finance 20 (4), 319-340, 2014 | 16 | 2014 |
| Early verification and validation according to iso 26262 by combining fault injection and mutation testing R Rana, M Staron, C Berger, J Hansson, M Nilsson, F Törner Software Technologies: 8th International Joint Conference, ICSOFT 2013 …, 2014 | 16 | 2014 |
| Analysing defect inflow distribution of automotive software projects R Rana, M Staron, C Berger, J Hansson, M Nilsson Proceedings of the 10th International Conference on Predictive Models in …, 2014 | 11 | 2014 |
| Comparing between maximum likelihood estimator and non-linear regression estimation procedures for NHPP software reliability growth modelling R Rana, M Staron, C Berger, J Hansson, M Nilsson, F Törner 2013 Joint Conference of the 23rd International Workshop on Software …, 2013 | 5 | 2013 |
| Consequences of Mispredictions of Software Reliability: A Model and its Industrial Evaluation M Staron, R Rana, W Meding, M Nilsson 2014 Joint Conference of the International Workshop on Software Measurement …, 2014 | 2 | 2014 |
| Defect Prediction & Prevention in Automotive Software Development R Rana Chalmers University of Technology and Göteborg University, 2013 | 2 | 2013 |
| Verification of ISO 26262 Software requirements in safety critical EE-systems R Rana, M Staron, J Hansson, C Berger, M Nilsson, F Törner ICRES double workshop" Benchmarking Functional Safety"+" Efficient Systems …, 2012 | | 2012 |
| ANALYZING DEFECT INFLOW DISTRIBUTION OF LARGE SOFTWARE PROJECTS R Rana, M Staron, C Berger, J Hansson, M Nilsson, W Meding | | |
| PREDICTING PRE-RELEASE DEFECTS AND IDENTIFYING RISKY MODULES USING PRIOR ITERATIONS DEFECT COUNT R Rana, M Staron, J Hansson, F Törner, M Nilsson | | |
