Leveraging field data for impact analysis and regression testing
Proceedings of the 9th European software engineering conference held jointly with 11th ACM SIGSOFT international symposium on Foundations of software engineering
Populating a Release History Database from Version Control and Bug Tracking Systems
ICSM '03 Proceedings of the International Conference on Software Maintenance
Mining Version Histories to Guide Software Changes
IEEE Transactions on Software Engineering
Hipikat: A Project Memory for Software Development
IEEE Transactions on Software Engineering
Fine-Grained Analysis of Change Couplings
SCAM '05 Proceedings of the Fifth IEEE International Workshop on Source Code Analysis and Manipulation
Classifying Change Types for Qualifying Change Couplings
ICPC '06 Proceedings of the 14th IEEE International Conference on Program Comprehension
Finding failure-inducing changes in java programs using change classification
Proceedings of the 14th ACM SIGSOFT international symposium on Foundations of software engineering
Process model based incremental project planning
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part II
Using Formal Concept Analysis to support change analysis
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
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We propose an approach to build a changeability assessment model for source code entities. Based on this model, we will assess the changeability of evolving software systems. The changeability assessment is based on a taxonomy of more than 30 change types and a classifation of these in terms of change significance levels for consecutive versions of software entities. We consider change type propagation on different levels of granularity ranging from method changes to interface and class changes. We claim that this kind of assessment is effective in pointing to potential causes of maintainability problems in evolving software systems.