Bayesian methods for data analysis in software engineering
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
Bayesian reasoning for software testing
Proceedings of the FSE/SDP workshop on Future of software engineering research
Testing and validating machine learning classifiers by metamorphic testing
Journal of Systems and Software
An architectural model for software testing lesson learned systems
Information and Software Technology
Linking software testing results with a machine learning approach
Engineering Applications of Artificial Intelligence
A learning-based method for combining testing techniques
Proceedings of the 2013 International Conference on Software Engineering
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Machine learning techniques have long been used for various purposes in software engineering. This paper provides a brief overview of the state of the art and reports on a number of novel applications I was involved with in the area of software testing. Reflecting on this personal experience, I draw lessons learned and argue that more research should be performed in that direction as machine learning has the potential to significantly help in addressing some of the long-standing software testing problems.