Software Release Time Based on Multi Attribute Utility Theory

The quality of the software system usually depends on how much time testing takes and what testing methodologies are used. More we spend time on testing; more faults can be removed, which leads to more reliable software. However, the testing cost of the software tends to increase in the process. On the other hand, if testing time is too short, the testing cost of the software may be reduced, but the customers may take higher risk of buying unreliable software. Therefore, it is important to determine when to stop testing, and release the software.In this paper, we propose a new method to estimate the optimal software release time by using Multi Attribute Utility Theory. More precisely, three significant attributes, namely Reliability, Cost and Detection rate indicator are used to determine the optimal release time. The proposed new decision model based on multi-attribute utility analysis is tested on the real world data sets.