Using language clues to discover crosscutting concerns
MACS '05 Proceedings of the 2005 workshop on Modeling and analysis of concerns in software
On the Use of Clone Detection for Identifying Crosscutting Concern Code
IEEE Transactions on Software Engineering
Refactoring the Aspectizable Interfaces: An Empirical Assessment
IEEE Transactions on Software Engineering
Mining eclipse for cross-cutting concerns
Proceedings of the 2006 international workshop on Mining software repositories
Proceedings of the 6th international conference on Aspect-oriented software development
Tool-Supported Refactoring of Existing Object-Oriented Code into Aspects
IEEE Transactions on Software Engineering
Mining Security-Sensitive Operations in Legacy Code Using Concept Analysis
ICSE '07 Proceedings of the 29th international conference on Software Engineering
On some criteria for comparing aspect mining techniques
Proceedings of the 3rd workshop on Linking aspect technology and evolution
Identifying Crosscutting Concerns Using Fan-In Analysis
ACM Transactions on Software Engineering and Methodology (TOSEM)
A partitional clustering algorithm for crosscutting concerns identification
SEPADS'09 Proceedings of the 8th WSEAS International Conference on Software engineering, parallel and distributed systems
Automated Aspect Recommendation through Clustering-Based Fan-in Analysis
ASE '08 Proceedings of the 2008 23rd IEEE/ACM International Conference on Automated Software Engineering
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
Mining early aspects based on syntactical and dependency analyses
Science of Computer Programming
Aspect recommendation for evolving software
Proceedings of the 33rd International Conference on Software Engineering
A systematic review on mining techniques for crosscutting concerns
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Combining concern input with program analysis for bloat detection
Proceedings of the 2013 ACM SIGPLAN international conference on Object oriented programming systems languages & applications
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In this paper, we report upon an initial experiment using the technique of formal concept analysis for mining aspectual views from the source code. An aspectual view is a set of source code entities, such as class hierarchies, classes and methods, that are structurally related in some way, and often crosscut a particular application. Initially, we follow a lightweight approach, where we only consider the names of classes and methods. This simplistic technique already results in the discovery of interesting and meaningful aspectual views, leaving us confident that more complex approaches will perform even better, and merit to be studied in the future.