A logarithmic poisson execution time model for software reliability measurement
ICSE '84 Proceedings of the 7th international conference on Software engineering
Unification of finite failure non-homogeneous Poisson process models through test coverage
ISSRE '96 Proceedings of the The Seventh International Symposium on Software Reliability Engineering
On The Estimation Of Reliability Of A Software System Using Reliabilities Of Its Components
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
ISSRE '01 Proceedings of the 12th International Symposium on Software Reliability Engineering
Reliability prediction for component-based software architectures
Journal of Systems and Software - Special issue on: Software architecture - Engineering quality attributes
Mae---a system model and environment for managing architectural evolution
ACM Transactions on Software Engineering and Methodology (TOSEM)
Leveraging architectural models to inject trust into software systems
SESS '05 Proceedings of the 2005 workshop on Software engineering for secure systems—building trustworthy applications
Toward a Catalogue of Architectural Bad Smells
QoSA '09 Proceedings of the 5th International Conference on the Quality of Software Architectures: Architectures for Adaptive Software Systems
A compositional method for reliability analysis of workflows affected by multiple failure modes
Proceedings of the 14th international ACM Sigsoft symposium on Component based software engineering
On the estimation of software reliability of component-based dependable distributed systems
QoSA'05 Proceedings of the First international conference on Quality of Software Architectures and Software Quality, and Proceedings of the Second International conference on Software Quality
Reliability analysis of component-based systems with multiple failure modes
CBSE'10 Proceedings of the 13th international conference on Component-Based Software Engineering
| Hi-index | 0.00 |
We present a software architecture-based approach tocompositional estimation of systemýs reliability. Ourapproach is applicable to early stages of developmentwhen the implementation artifacts are not yet available,and exact execution profile is unknown. The uncertainty ofthe execution profile is modeled using stochastic processeswith unknown parameters. The compositional approachcalculates overall reliability of the system as a function ofthe reliability of its constituent components and their(complex) interactions. Sensitivity analysis to identify criticalcomponents and interactions will be provided.