Thomas Rolfsnes

Aggregating Association Rules to Improve Change Recommendation

Dave W. Binkley, Stefano Di Alesio, Leon Moonen, 2018, Empirical Software Engineering.

What are the effects of history length and age on mining software change impact?

Dave W. Binkley, Stefano Di Alesio, Leon Moonen, 2018, Empirical Software Engineering.

Predicting relevance of change recommendations

David W. Binkley, Leon Moonen, Thomas Rolfsnes, 2017, 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE).

Exploring the Effects of History Length and Age on Mining Software Change Impact

Dave W. Binkley, Stefano Di Alesio, Leon Moonen, 2016, 2016 IEEE 16th International Working Conference on Source Code Analysis and Manipulation (SCAM).

Generalizing the Analysis of Evolutionary Coupling for Software Change Impact Analysis

Dave W. Binkley, Stefano Di Alesio, Leon Moonen, 2016, 2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER).

Mining change history for test-plan generation (doctoral symposium)

Thomas Rolfsnes, Thomas Rolfsnes, 2015, ISSTA.

What are the effects of history length and age on mining software change impact?

Stefano Di Alesio, L. Moonen, D. Binkley, 2018, Empirical Software Engineering.

Practical guidelines for change recommendation using association rule mining

David W. Binkley, Stefano Di Alesio, Leon Moonen, 2016, 2016 31st IEEE/ACM International Conference on Automated Software Engineering (ASE).

Improving Change Recommendation using Aggregated Association Rules

Dave W. Binkley, Stefano Di Alesio, Leon Moonen, 2016, 2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR).

Towards Automated Transformation of UML/OCL to Prolog for Efficient Configuration of Integrated Control Systems

Thomas Gramstad Rolfsnes, Thomas Rolfsnes, 2013 .