Architecture-Based Software Reliability Analysis: Overview and Limitations
IEEE Transactions on Dependable and Secure Computing
Model-based performance analysis using block coverage measurements
Journal of Systems and Software
An execution-level component composition model based on component testing information
CBSE'07 Proceedings of the 10th international conference on Component-based software engineering
A taxonomy of software architecture-based reliability efforts
Proceedings of the 2010 ICSE Workshop on Sharing and Reusing Architectural Knowledge
Architecture-based reliability analysis of web services in multilayer environment
Proceedings of the 3rd International Workshop on Principles of Engineering Service-Oriented Systems
An industrial case study on quality impact prediction for evolving service-oriented software
Proceedings of the 33rd International Conference on Software Engineering
Architecture-based reliability evaluation under uncertainty
Proceedings of the joint ACM SIGSOFT conference -- QoSA and ACM SIGSOFT symposium -- ISARCS on Quality of software architectures -- QoSA and architecting critical systems -- ISARCS
Parameterized reliability prediction for component-based software architectures
QoSA'10 Proceedings of the 6th international conference on Quality of Software Architectures: research into Practice - Reality and Gaps
Reliability analysis in symbolic pathfinder
Proceedings of the 2013 International Conference on Software Engineering
Performance and reliability prediction for evolving service-oriented software systems
Empirical Software Engineering
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In this paper we present an empirical study of architecture-basedsoftware reliability based on a large open source application which consists of 350,000 lines of C code. The goals of our study are to analyze empirically the adequacy, applicability, and accuracy of architecture-based software reliability models. For this purpose we developed innovative approaches to efficiently extract and more accurately analyze a large amount of empirical data. Applying the theoretical results on a large scale field study allows us to test how and when they work, to understand their limitations, and outline the issues that need attention in the future research studies. Thus, our results show that for a subset of failures which can clearly be attributed to single components, both the composite and hierarchical models are very accurate when compared to the actual reliability. However, the assumptions made by the existing architecture-based software reliability models do not allow to account for the remaining failures which led to fixing faults in multiple components. These results show that in order to progress further, software reliability engineering should go through cycles of building models, testing them empirically, learning from the experiments, and refining the models to capture the newly discovered phenomena.