Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Handbook of software reliability engineering
Handbook of software reliability engineering
Probability and statistics with reliability, queuing and computer science applications
Probability and statistics with reliability, queuing and computer science applications
Measuring and Modeling Usage and Reliability for Statistical Web Testing
IEEE Transactions on Software Engineering - Special section on the seventh international software metrics symposium
Software Testing Techniques
Introduction to Algorithms
Reliability Assessment of WEB Applications
COMPSAC '02 Proceedings of the 26th International Computer Software and Applications Conference on Prolonging Software Life: Development and Redevelopment
Heterogeneous Software Reliability Modeling
ISSRE '02 Proceedings of the 13th International Symposium on Software Reliability Engineering
User-Oriented Reliability Modeling for a Web System
ISSRE '03 Proceedings of the 14th International Symposium on Software Reliability Engineering
Evaluating Web Software Reliability Based on Workload and Failure Data Extracted from Server Logs
IEEE Transactions on Software Engineering
A User-Oriented Software Reliability Model
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
Architecture-based software reliability modeling
Journal of Systems and Software
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In this paper, we describe a user-oriented reliability model that addresses extensive web content, including many links, and that simultaneously addresses user dynamic navigation behaviour. Computation time is a problem in web systems because content can be tightly coupled. An alternative approach is to skip the consideration of the actual dynamic relationships but this is undesirable because the quality of a web system is bound to the success of a series of user navigations. These issues motivate our study from a user perspective. By parsing the logs, past navigations can be restored to form a flow graph. Our model adopts the idea of cyclomatic complexity to convert the graph to a maximum number of independent paths so that reliability can be computed by discounting the probabilities of unreliable paths. The application of this model can prioritise the fault removal sequence to assist in resource and effort allocation to improve reliability.