Software reconnaissance: mapping program features to code
Journal of Software Maintenance: Research and Practice
Locating Features in Source Code
IEEE Transactions on Software Engineering
Locating Program Features using Execution Slices
ASSET '99 Proceedings of the 1999 IEEE Symposium on Application - Specific Systems and Software Engineering and Technology
Static and dynamic distance metrics for feature-based code analysis
Journal of Systems and Software
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
IEEE Transactions on Software Engineering
BIT: a tool for instrumenting java bytecodes
USITS'97 Proceedings of the USENIX Symposium on Internet Technologies and Systems on USENIX Symposium on Internet Technologies and Systems
Combining Formal Concept Analysis with Information Retrieval for Concept Location in Source Code
ICPC '07 Proceedings of the 15th IEEE International Conference on Program Comprehension
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Feature location has long been recognized as an important reverse engineering activity to identify the implementation of a given system functionality in the source code. In this paper, we present a simple yet powerful approach for solving the feature location problem based on impact analysis. The presented approach combines two different sources of information: an execution trace that corresponds to the software feature under study and a static component dependency graph (CDG). Using the CDG, we rank the components invoked in the trace by measuring the impact of a component modification on the rest of the system. Our hypothesis is that the smaller the impact of a component modification, the more likely it is that the component is specific to the feature under study. A case study is presented to support the applicability of our approach