Adequacy, Accuracy, Scalability, and Uncertainty of Architecture-based Software Reliability: Lessons Learned from Large Empirical Case Studies

@article{GosevaPopstojanova2006AdequacyAS,
  title={Adequacy, Accuracy, Scalability, and Uncertainty of Architecture-based Software Reliability: Lessons Learned from Large Empirical Case Studies},
  author={Katerina Goseva-Popstojanova and Margaret Hamill and Xuan Wang},
  journal={2006 17th International Symposium on Software Reliability Engineering},
  year={2006},
  pages={197-203}
}
Our earlier research work on applying architecture-based software reliability models on a large scale case study allowed us to test how and when they work, to understand their limitations, and to outline the issues that need future research. In this paper we first present an additional case study which confirms our earlier findings. Then, we present uncertainty analysis of architecture-based software reliability for both case studies. The results show that Monte Carlo method scales better than… CONTINUE READING
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