A Methodology for Architecture-Level Reliability Risk Analysis
IEEE Transactions on Software Engineering
Architectural level risk assessment tool based on UML specifications
Proceedings of the 25th International Conference on Software Engineering
An Example Of Risk Assessment Of Software Systems Specifications
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
A Methodology for Architectural-Level Risk Assessment Using Dynamic Metrics
ISSRE '00 Proceedings of the 11th International Symposium on Software Reliability Engineering
A survey of dynamic software metrics
Journal of Computer Science and Technology
| Hi-index | 0.00 |
The paper presents a methodology for risk assessment in complex real time software systems at the early stages of development, namely the analysis/design phase. A heuristic risk assessment technique is described based on colored Petri net (CPN) models. The technique uses complexity metrics and severity measures in developing a heuristic risk factor from software functional specifications. The objective of risk assessment is to classify the software components according to their relative importance in terms of such factors as severity and complexity. Both traditional static and dynamic complexity measures are supported. Concurrency complexity is presented as a new dynamic complexity metric. This metric measures the added dynamic complexity due to concurrency in the system. Severity analysis is conducted using failure mode and effect analysis (FMEA). The methodology presented here is applied to a large scale software system as presented in a companion paper (H. Ammar et al., 1997).