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Rakesh Rana
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2010 – 2019
- 2018
- [c16]Rakesh Rana, Tommy Lagercrantz, Miroslaw Staron:
Building an Effective Software Issues Scorecard: An Action Research Report from the Automotive Domain. ICSA Companion 2018: 136-143 - 2017
- [c15]Rakesh Rana, Alexander Karlsson, Göran Falkman
:
A framework for identifying and evaluating technologies of interest for effective business strategy: Using text analytics to augment technology forecasting. ISCBI 2017: 110-115 - 2016
- [j2]Rakesh Rana
Analyzing defect inflow distribution and applying Bayesian inference method for software defect prediction in large software projects. J. Syst. Softw. 117: 229-244 (2016) - [c14]Miroslaw Staron, Darko Durisic, Rakesh Rana:
Improving Measurement Certainty by Using Calibration to Find Systematic Measurement Error - A Case of Lines-of-Code Measure. KKIO Software Engineering Conference 2016: 119-132 - [c13]Rakesh Rana, Miroslaw Staron:
First International Workshop on Emerging Trends in DevOps and Infrastructure. XP Workshops 2016: 11 - 2014
- [j1]Rakesh Rana
Selecting software reliability growth models and improving their predictive accuracy using historical projects data. J. Syst. Softw. 98: 59-78 (2014) - [c12]Rakesh Rana, Miroslaw Staron, Jörgen Hansson, Martin Nilsson, Wilhelm Meding:
Software Defect Prediction in Automotive and Telecom Domain: A Life-Cycle Approach. ICSOFT (Selected Papers) 2014: 217-232 - [c11]Rakesh Rana, Miroslaw Staron, Jörgen Hansson, Martin Nilsson:
Defect Prediction over Software Life Cycle in Automotive Domain - State of the Art and Road Map for Future. ICSOFT EA 2014: 377-382 - [c10]Rakesh Rana, Miroslaw Staron, Jörgen Hansson, Martin Nilsson, Wilhelm Meding:
A Framework for Adoption of Machine Learning in Industry for Software Defect Prediction. ICSOFT EA 2014: 383-392 - [c9]Miroslaw Staron, Rakesh Rana, Wilhelm Meding, Martin Nilsson:
Consequences of Mispredictions of Software Reliability: A Model and its Industrial Evaluation. IWSM/Mensura 2014: 157-162 - [c8]Rakesh Rana, Miroslaw Staron, Christian Berger, Jörgen Hansson, Martin Nilsson, Wilhelm Meding:
The Adoption of Machine Learning Techniques for Software Defect Prediction: An Initial Industrial Validation. JCKBSE 2014: 270-285 - [c7]Rakesh Rana, Miroslaw Staron, Christian Berger, Jörgen Hansson, Martin Nilsson:
Analysing defect inflow distribution of automotive software projects. PROMISE 2014: 22-31 - 2013
- [c6]Rakesh Rana, Miroslaw Staron, Christian Berger, Jörgen Hansson, Martin Nilsson, Fredrik Törner:
Improving Fault Injection in Automotive Model Based Development using Fault Bypass Modeling. GI-Jahrestagung 2013: 2577-2591 - [c5]Rakesh Rana, Miroslaw Staron, Christian Berger, Jörgen Hansson, Martin Nilsson, Fredrik Törner:
Early Verification and Validation According to ISO 26262 by Combining Fault Injection and Mutation Testing. ICSOFT (Selected Papers) 2013: 164-179 - [c4]Rakesh Rana, Miroslaw Staron, Christian Berger, Jörgen Hansson, Martin Nilsson, Fredrik Törner:
Increasing Efficiency of ISO 26262 Verification and Validation by Combining Fault Injection and Mutation Testing with Model based Development. ICSOFT 2013: 251-257 - [c3]Rakesh Rana, Miroslaw Staron, Christian Berger, Jörgen Hansson, Martin Nilsson, Fredrik Törner:
Evaluating long-term predictive power of standard reliability growth models on automotive systems. ISSRE 2013: 228-237 - [c2]Rakesh Rana, Miroslaw Staron, Christian Berger, Jörgen Hansson, Martin Nilsson, Fredrik Törner:
Comparing between Maximum Likelihood Estimator and Non-linear Regression Estimation Procedures for NHPP Software Reliability Growth Modelling. IWSM/Mensura 2013: 213-218 - [c1]Rakesh Rana, Miroslaw Staron, Niklas Mellegård
Evaluation of Standard Reliability Growth Models in the Context of Automotive Software Systems. PROFES 2013: 324-329
Coauthor Index
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