Research on Software-Intensive Equipment System Fault Diagnosis Technology
Jianyuan Feng, Xiaodong Zhu, Feng Quanfu, Renzuo Xu · ASME Press eBooks · 2011
For software-intensive equipment, there is a lack of systematic, standardized software fault diagnostic technology; it affects quality of software-intensive equipment seriously. In this article we proposed a software-based fault diagnosis of integrated software black box model, using UML extension mechanisms, and 1œ4 +11 view model built the framework, in Visual C + +6.0 environment,developed its prototype system. Finally, we gave two validation examples, to prove that our technology approach to be effective.