Predicting Source Code Changes by Mining Change History
IEEE Transactions on Software Engineering
An Empirical Study of Fine-Grained Software Modifications
ICSM '04 Proceedings of the 20th IEEE International Conference on Software Maintenance
Studying Software Evolution Information by Visualizing the Change History
ICSM '04 Proceedings of the 20th IEEE International Conference on Software Maintenance
Predicting the Probability of Change in Object-Oriented Systems
IEEE Transactions on Software Engineering
Classifying Change Types for Qualifying Change Couplings
ICPC '06 Proceedings of the 14th IEEE International Conference on Program Comprehension
Mining sequences of changed-files from version histories
Proceedings of the 2006 international workshop on Mining software repositories
Properties of Signature Change Patterns
ICSM '06 Proceedings of the 22nd IEEE International Conference on Software Maintenance
An initial study of the growth of eclipse defects
Proceedings of the 2008 international working conference on Mining software repositories
Classifying Software Changes: Clean or Buggy?
IEEE Transactions on Software Engineering
Toward an understanding of bug fix patterns
Empirical Software Engineering
Predicting Function Changes by Mining Revision History
ITNG '10 Proceedings of the 2010 Seventh International Conference on Information Technology: New Generations
Change Bursts as Defect Predictors
ISSRE '10 Proceedings of the 2010 IEEE 21st International Symposium on Software Reliability Engineering
An empirical analysis of the FixCache algorithm
Proceedings of the 8th Working Conference on Mining Software Repositories
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Software projects keep changing all the time. Understanding the nature of the changes can help build higher quality projects. In this paper, the authors studied software changes on a new entity, statement. They found some types of statements are more likely to change than others. Furthermore, the authors studied software changes to fix bugs and also found some types of statements are more likely to change than others to fix bugs. These statements are more likely to cause bugs, which should be paid more attention to.