Name
Abstract | ||
|---|---|---|
Reliability is a key driver of safety-critical systems such as health-care systems and traffic controllers. It is also one of the most important quality attributes of the systems embedded into our surroundings, e.g. sensor networks that produce information for business processes. Therefore, the design decisions that have a great impact on the reliability of a software system, i.e. architecture and components, need to be thoroughly evaluated. This paper addresses software reliability evaluation during the design and implementation phases; it provides a coherent approach by combining both predicted and measured reliability values with heuristic estimates in order to facilitate a smooth reliability evaluation process. The approach contributes by integrating the component-level reliability evaluation activities (i.e. the heuristic reliability estimation, model-based reliability prediction and model-based reliability measuring of components) and the system-level reliability prediction activity to support the incremental and iterative development of reliable component-based software systems. The use of the developed reliability evaluation approach with the supporting tool chain is illustrated by a case study. The paper concludes with a summary of lessons learnt from the case studies. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.jss.2011.01.048 | Journal of Systems and Software |
Keywords | DocType | Volume |
prediction,component-based software,tool,developed reliability evaluation approach,paper addresses software reliability,architecture,component-level reliability evaluation activity,case study,componentbee,system-level reliability prediction activity,reliability value,evaluation,heuristic reliability estimation,uml,rap,model-based reliability prediction,model-based reliability,smooth reliability evaluation process,marketing | Journal | 84 |
Issue | ISSN | Citations |
6 | 0164-1212 | 12 |
PageRank | References | Authors |
0.62 | 37 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marko Palviainen | 1 | 68 | 6.05 |
| Antti Evesti | 2 | 102 | 11.02 |
| Eila Ovaska | 3 | 167 | 15.36 |