A source-based risk analysis approach for software test optimization

In this paper we introduce our proposed technique for software component test prioritization and optimization which is based on a source-code based risk analysis. Software test is one of the most critical steps in the software development. Considering that the time and human resources of a software project are limited, software test should be scheduled and planned very carefully. In this paper we introduce a classification approach that provides the developers with a risk model of the application which is specifically designed to assist the testing process by identifying the most important components and their corresponding test effort estimation. We designed an analyser tool to apply our technique to a test software project and we presented the results in this paper.