Cross–Project Defect Prediction With Respect To Code Ownership Model: An Empirical Study

The paper presents an analysis of 83 versions of industrial, open-source and academic projects. We have empirically evaluated whether those project types constitute separate classes of projects with regard to defect prediction. Statistical tests proved that there exist significant differences between the models trained on the aforementioned project classes. This work makes the next step towards cross-project reusability of defect prediction models and facilitates their adoption, which has been very limited so far

Highly Automated Agile Testing Process: An Industrial Case Study

This paper presents a description of an agile testing process in a medium size software project that is developed using Scrum. The research methods used is the case study were as follows: surveys, quantifiable project data sources and qualitative project members opinions were used for data collection. Challenges related to the testing process regarding a complex project environment and unscheduled releases were identified. Based on the obtained results, we concluded that the described approach addresses well the aforementioned issues. Therefore, recommendations were made with regard to the employed principles of agility, specifically: continuous integration, responding to change, test automation and test driven development. Furthermore, an efficient testing environment that combines a number of test frameworks (e.g. JUnit, Selenium, Jersey Test) with custom-developed simulators is presented