Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Data Mining: Introductory and Advanced Topics
Data Mining: Introductory and Advanced Topics
Aspect Mining Using Event Traces
Proceedings of the 19th IEEE international conference on Automated software engineering
PRISM is research in aSpect mining
OOPSLA '04 Companion to the 19th annual ACM SIGPLAN conference on Object-oriented programming systems, languages, and applications
Aspect Mining through the Formal Concept Analysis of Execution Traces
WCRE '04 Proceedings of the 11th Working Conference on Reverse Engineering
A Qualitative Comparison of Three Aspect Mining Techniques
IWPC '05 Proceedings of the 13th International Workshop on Program Comprehension
Mining Version Histories to Guide Software Changes
IEEE Transactions on Software Engineering
A Classification of Crosscutting Concerns
ICSM '05 Proceedings of the 21st IEEE International Conference on Software Maintenance
MAFIA: A Maximal Frequent Itemset Algorithm
IEEE Transactions on Knowledge and Data Engineering
On the Use of Clone Detection for Identifying Crosscutting Concern Code
IEEE Transactions on Software Engineering
Mining Aspects from Version History
ASE '06 Proceedings of the 21st IEEE/ACM International Conference on Automated Software Engineering
On the Use of Line Co-change for Identifying Crosscutting Concern Code
ICSM '06 Proceedings of the 22nd IEEE International Conference on Software Maintenance
A common framework for aspect mining based on crosscutting concern sorts
WCRE '06 Proceedings of the 13th Working Conference on Reverse Engineering
Reverse Engineering with Logical Coupling
WCRE '06 Proceedings of the 13th Working Conference on Reverse Engineering
HAM: cross-cutting concerns in Eclipse
eclipse '06 Proceedings of the 2006 OOPSLA workshop on eclipse technology eXchange
Identifying Crosscutting Concerns Using Fan-In Analysis
ACM Transactions on Software Engineering and Methodology (TOSEM)
Journal of Software Maintenance and Evolution: Research and Practice
Introduction to Information Retrieval
Introduction to Information Retrieval
Do Crosscutting Concerns Cause Defects?
IEEE Transactions on Software Engineering
WCRE '08 Proceedings of the 2008 15th Working Conference on Reverse Engineering
Automated Aspect Recommendation through Clustering-Based Fan-in Analysis
ASE '08 Proceedings of the 2008 23rd IEEE/ACM International Conference on Automated Software Engineering
Delving source code with formal concept analysis
Computer Languages, Systems and Structures
A survey of automated code-level aspect mining techniques
Transactions on aspect-oriented software development IV
Identifying crosscutting concerns using historical code changes
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1
A systematic review on mining techniques for crosscutting concerns
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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Cross-cutting concerns are pieces of functionality that have not been captured into a separate module, thereby hindering program comprehension and maintainability. Solving these problems requires first identifying these cross-cutting concerns in pieces of software. Several methods for identification have been proposed but the option of using software repository mining has largely been left unexplored. That technique can uncover relationships between modules that may not be present in the source code and thereby provide a different perspective on the cross-cutting concerns in a software system. We perform software repository mining on the repositories of two software systems for which the cross-cutting concerns are known: JHotDraw and Tomcat. Based on the results of the evaluation, we make some suggestions for future directions in the area of identifying crosscutting concerns using software repository mining.