Software reconnaissance: mapping program features to code
Journal of Software Maintenance: Research and Practice
ICSE '94 Proceedings of the 16th international conference on Software engineering
N degrees of separation: multi-dimensional separation of concerns
Proceedings of the 21st international conference on Software engineering
The concept of dynamic analysis
ESEC/FSE-7 Proceedings of the 7th European software engineering conference held jointly with the 7th ACM SIGSOFT international symposium on Foundations of software engineering
Does Code Decay? Assessing the Evidence from Change Management Data
IEEE Transactions on Software Engineering
Efficient instrumentation for code coverage testing
ISSTA '02 Proceedings of the 2002 ACM SIGSOFT international symposium on Software testing and analysis
Locating Features in Source Code
IEEE Transactions on Software Engineering
Whole program Path-Based dynamic impact analysis
Proceedings of the 25th International Conference on Software Engineering
Dynamic Coupling Measurement for Object-Oriented Software
IEEE Transactions on Software Engineering
Dynamic Feature Traces: Finding Features in Unfamiliar Code
ICSM '05 Proceedings of the 21st IEEE International Conference on Software Maintenance
Bi-objective release planning for evolving software systems
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Darwin: an approach for debugging evolving programs
Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Using structural and textual information to capture feature coupling in object-oriented software
Empirical Software Engineering
DARWIN: An approach to debugging evolving programs
ACM Transactions on Software Engineering and Methodology (TOSEM)
Evolution of features and their dependencies - an explorative study in OSS
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement
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Repeated changes to a software system can introduce small weaknesses such as unplanned dependencies between different parts of the system. While such problems usually go undetected, their cumulative effect can result in a noticeable decrease in the quality of a system. We present an approach to warn developers about increased coupling between the (potentially scattered) implementation of different features. Our automated approach can detect sections of the source code contributing to the increased coupling as soon as software changes are tested. Developers can then inspect the results to assess whether the quality of their changes is adequate. We have implemented our approach for C++ and integrated it with the development process of a proprietary 3D graphics software. We report on our evaluation of the approach in the field, and on a study showing that, for files in the target system, causing increases in feature coupling is a significant predictor of future modifications due to bug fixes.