Test Quality Measurement Using TBPP-R
Jun Xi Tang, Ruilong Huo, Jiali Yao, Shaosen Wu · 2013
Software test quality measurement is the key for software release decision. It is hard to evaluate software test quality because full coverage test is impossible in practice. In this paper, we compare the existing methods for the software test quality measurement and discuss their drawbacks. Then we propose TBPP - a weighted tree based partition and proration method to evaluate software test quality. Furthermore, we evolve this method to TBPP-R by introducing a risk distribution function, which can reveal software test quality more accurately. In our experiments, we compare TBPP-R and TBPP with existing methods in our test projects. The results show that TPBB-R can measure software test quality much more accurately.