Date of Graduation
Statler College of Engineering and Mineral Resources
Lane Department of Computer Science and Electrical Engineering
Katerina Goseva Popstajanova
This thesis presents an empirical study of architecture-based software reliability based on large real case studies. It undoubtedly demonstrates the value of using open source software to empirically study software reliability. The major goal is to empirically analyze the applicability, adequacy and accuracy of architecture-based software reliability models. In both our studies we found evidence that the number of failures due to faults in more than one component is not insignificant. Consequently, existing models that make such simplifying assumptions must be improved to account for this phenomenon. This thesis' contributions include developing automatic methods for efficient extraction of necessary data from the available repositories, and using this data to test how and when architecture-based software reliability models work. We study their limitations and ways to improve them. Our results show the importance of knowledge gained from the interaction between theoretical and empirical research.
Hamill, Margaret L., "Empirical analysis of software reliability" (2006). Graduate Theses, Dissertations, and Problem Reports. 4231.