Learning How to Search: Generating Effective Test Cases Through Adaptive Fitness Function Selection

Data Package for "Learning How to Search: Generating Effective Test Cases Through Adaptive Fitness Function Selection"

This package contains data generated as part of our experiments on adaptive fitness function selection as part of unit test generation for Java systems.

This paper is currently under submission. A draft of the paper is included in the data package.

This package contains experimental data (in folder "experiment_data"), including goal attainment, fault detection, time per generation, and choices made by the reinforcement learning algorithm. In the folder "test_suites", the suites generated by each technique are included for each project. 

If you have questions, please contact Gregory Gay at greg@greggay.com.

NOTE: A small number of items are currently missing from this data package and will be added shortly. Please make sure you have the latest version of this package.