A localized algorithm for parallel association mining
Proceedings of the ninth annual ACM symposium on Parallel algorithms and architectures
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Detection of Logical Coupling Based on Product Release History
ICSM '98 Proceedings of the International Conference on Software Maintenance
CVS Release History Data for Detecting Logical Couplings
IWPSE '03 Proceedings of the 6th International Workshop on Principles of Software Evolution
Mining Version Histories to Guide Software Changes
Proceedings of the 26th International Conference on Software Engineering
Predicting Source Code Changes by Mining Change History
IEEE Transactions on Software Engineering
Supporting Source Code Difference Analysis
ICSM '04 Proceedings of the 20th IEEE International Conference on Software Maintenance
Visualizing multiple evolution metrics
SoftVis '05 Proceedings of the 2005 ACM symposium on Software visualization
Improving evolvability through refactoring
MSR '05 Proceedings of the 2005 international workshop on Mining software repositories
Versioning Systems for Evolution Research
IWPSE '05 Proceedings of the Eighth International Workshop on Principles of Software Evolution
Automatic Identification of Bug-Introducing Changes
ASE '06 Proceedings of the 21st IEEE/ACM International Conference on Automated Software Engineering
Reverse Engineering with Logical Coupling
WCRE '06 Proceedings of the 13th Working Conference on Reverse Engineering
Animated Visualization of Software History using Evolution Storyboards
WCRE '06 Proceedings of the 13th Working Conference on Reverse Engineering
Logical Coupling Based on Fine-Grained Change Information
WCRE '08 Proceedings of the 2008 15th Working Conference on Reverse Engineering
Visualizing Co-Change Information with the Evolution Radar
IEEE Transactions on Software Engineering
Blending Conceptual and Evolutionary Couplings to Support Change Impact Analysis in Source Code
WCRE '10 Proceedings of the 2010 17th Working Conference on Reverse Engineering
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An initial study of using two measures to improve the accuracy of evolutionary couplings uncovered from version history is presented. Two measures, namely the age of a pattern and the distance among items within a pattern, are defined and used with the traditional methods for computing evolutionary couplings. The goal is to reduce the number of false positives (i.e., inaccurate or irrelevant claims of coupling). Initial observations are presented that lend evidence that these measures may have the potential to improve the results of computing evolutionary couplings.