All software development today is engineered by some form of delivery pipeline regardless of there nature. Within this paradigm of release engineering which may or may not be continuously integrated, there within lies the testing phase that plays a crucial role in delivering an efficient software. This thesis aims to explore the boundaries of software test automation in a continuous delivery pipeline by implementing a re-ordering algorithm to optimally sort the test cases such that tests with a higher likely hood of failing are executed first, thus enabling faster feedback for failed tests to developers. The outcome from this project was a test optimizing tool with the use of a re-ordering algorithm. The thesis also provides suggestions for future work using the implemented tool.