Mid Sweden University

Automated testing is a fast-growing requirement for many IT companies. The idea of testing is to create a better product for both the company and the customer. The goal of this study is to examine different aspects of au- tomated testing and Xray as a test management tool. The literature study considers information from several different scientific reports. It shows that the benefits of automated testing include increased productivity and reliable software but also pitfalls like a high initial cost and a maintenance cost. Research suggests that automated testing is complementary to man- ual testing. Manual testing is more suited for exploratory testing, while automated testing is better for regression testing. Using historical data manual tests can be placed into prioritised clusters. The coverage of each test within a cluster determines its priority, where a test with high cover- age has a high priority. A near-optimal solution for prioritising automated tests is the combination of two well-known strategies, the additional cov- erage strategy and the total coverage strategy. Tests are prioritised based on how much of the code they uniquely cover. Code coverage is mea- sured using statements, methods or complexity. Furthermore, this thesis demonstrates a proof of concept for how the unified algorithm can pri- oritise Xray tests. Xray is evaluated according to the ISO/IEC 25010:2011 standard together with a survey done on Xray practitioners. The evalua- tion for Xray shows that Xray provides the necessary tools and functions to manage a testing suite successfully. However, no official encryption exist for the Jira server, and Xray lacks integrated documentation.