Architecture-based approach to reliability assessment of software systems
Performance Evaluation
COTS and High Assurance: An Oxymoron?
HASE '99 The 4th IEEE International Symposium on High-Assurance Systems Engineering
A Bayesian Approach to Reliability Prediction and Assessment of Component Based Systems
ISSRE '01 Proceedings of the 12th International Symposium on Software Reliability Engineering
Architecture-Based Software Reliability Analysis: Overview and Limitations
IEEE Transactions on Dependable and Secure Computing
| Hi-index | 0.00 |
Traditional software-reliability prediction methods such as reliability growth models base estimates on observing failures (and fixing faults) in validation testing, during which operational patterns represent the productýs actual field use. However, most traditional methods ignore all the quality indicators collected before system integration. A reliability-prediction method that integrates quality information from such sources as architectural system descriptions, use scenarios, system deployment diagrams, and module testing let the manager identify problem areas early and make timely organizational adjustments, if a quality improvement is necessary. This probabilistic-reliability prediction technique is applicable at the design-level, before the actual coding and system integration phases.