A test case is a set of input data and expected output, designed to verify whether the system under test satisfies all requirements and works correctly. An effective test case reveals a fault when the actual output differs from the expected output (i.e., the test case fails). The effectiveness of test cases is estimated using quality metrics, such as code coverage, size, and historical fault detection. Prior studies have shown that previously failing test cases are highly likely to fail again in the next releases; therefore, they are ranked higher. However, in practice, a failing test case may not be exactly the same as a previously failed test case, but quite similar. In this thesis, I have defined a metric that estimates test case quality using its similarity to the previously failing test cases. Moreover, I have evaluated the effectiveness of the proposed test quality metric through detailed empirical study. / February 2016

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Nowadays, Agile software development methods are often used in large multisite organizations that develop large-scale applications. Behavior Driven Development (BDD) is a relatively new Agile software development process where the development process starts with acceptance tests written in a natural language. The premise of BDD is to create a common and effective process of communication between different roles in a software project to ensure that every activity can be mapped to the business goal of the application. This thesis work aims to find an effective and efficient BDD process and to evaluate its usage in a large-scale application in a large multisite organization through a series of interviews, a controlled experiment, and an online survey. Furthermore, by means of the aforementioned experiment, the study measures the impact of an experimental usage of BDD on testing quality. To discover an effective and efficient BDD process, two alternatives with automated tests that run on different architectural layers, namely client layer and web service layer, were examined. Based on the defined metrics, the alternative with automated tests that ran directly on the web service layer was chosen as the more efficient process which was compared against the existing Agile-based baseline that used automated client tests. The results show that an efficient BDD process improves the testing quality significantly which can, in turn, result in a better overall software quality.

Work deal with analysis plus proposal methodists of the process testing safety components in cars.