Code-Imp: a tool for automated search-based refactoring
Proceedings of the 4th Workshop on Refactoring Tools
Experimental assessment of software metrics using automated refactoring
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement
Improving software security using search-based refactoring
SSBSE'12 Proceedings of the 4th international conference on Search Based Software Engineering
Refactoring Flash Embedding Methods
International Journal of Systems and Service-Oriented Engineering
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Current software practice places a strong emphasis on unit testing, to the extent that the amount of test code produced on a project can exceed the amount of actual application code required. This illustrates the importance of testability as a feature of software. In this paper we investigate whether it is possible to improve a program's testability using an automated refactoring approach. We conduct a quasi-experiment where we create a small application that scores poorly using a proven cohesion metric, LSCC. Using our automated refactoring platform, Code-Imp, this application is automatically refactored using the LSCC metric to guide the search for better solutions. To evaluate the results, a number of industrial software engineers were asked to write test cases for the application both before and after refactoring and compare the relative difficulty involved. The results were interesting though inconclusive, and suggest that further work is required.