Risk Analysis on Multi-Granular Flow Network for Software Integration Testing
| Autor: | Bo Yang, Zhiliang Zhu, Hai Yu, Ying Wang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Risk analysis
021110 strategic defence & security studies Probabilistic risk assessment business.industry Computer science Integration testing 0211 other engineering and technologies 020207 software engineering 02 engineering and technology Development testing Reliability engineering Risk analysis (engineering) 0202 electrical engineering electronic engineering information engineering Test Management Approach Software reliability testing Electrical and Electronic Engineering business System integration testing Risk management |
| Zdroj: | IEEE Transactions on Circuits and Systems II: Express Briefs. 65:1059-1063 |
| ISSN: | 1558-3791 1549-7747 |
| DOI: | 10.1109/tcsii.2017.2775442 |
| Popis: | This brief presents a model, a methodology, and an application scheme of risk assessment for information exchange system. The multi-granular flow network (MGFN) model serves as a basis for measuring the vulnerabilities and threats of components, and the failure consequences they bring to the system when a failure occurs. The risk factors of components are then quantified, assisted by a probabilistic risk analysis model. Furthermore, we apply the MGFN model and the risk assessment scheme in ordering class integration testing for object-oriented software system. By comparing our approach with the state-of-the-art integration test order algorithms from the perspectives of detection efficiency of severe faults and stubbing efforts, we show that classes with higher risk indexes can be tested in earlier integration steps, and that the total complexity of the established test stubs is minimized. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|