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RAKESH RANA

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When do software issues get reported in large open source software
On the Role of Cross-Disciplinary Research and SSE in Addressing the Challenges of the Digitalization of Society
Machine Learning Approach for Quality Assessment and Prediction in Large Software Organizations
Improving Dependability of Embedded Software System
Increasing Efficiency of ISO 26262 Verification and Validation by Combining Fault Injection and Mutation Testing with Model Based Development
Consequences of Mispredictions of Software Reliability
Software Defect Prediction Techniques in the Automotive Domain: Evaluation, Selection and Adoption
The adoption of machine learning techniques for software defect prediction: An initial industrial validation
Analysing Defect Inflow Distribution of Automotive & Large Software Projects
A framework for adoption of machine learning in industry for software defect prediction
Defect Prediction Over Software Life Cycle in Automotive Domain
How to find defects early and increase the reliability of software systems
Predicting reliability of software systems under development
Defect Prediction & Prevention In Automotive Software Development
Evaluating long-term predictive power of standard reliability growth models on automotive systems