Research on Reliability Analysis of Component-Based Software
- DOI
- 10.2991/iceea-18.2018.50How to use a DOI?
- Keywords
- component; reliability evaluation; markov process; state transfer
- Abstract
Component-based software development method has gradually become the mainstream software development method, with the rapid development of component technology, the software development method of complex software system with component design is more and more mature, but the software reliability analysis technology based on this technology is comparatively backward. At present, the component software reliability model does not consider the influence of component importance and complexity factors on software reliability, and presents the complexity analysis model of component software and the reliability evaluation model of important analysis model. In component-based software system, the granularity of component is usually less than the module, so based on the structure of component software, the complexity measure model with functional granularity is established, and the important measurement model is established according to the level, on the basis of which the state transition process between components is described as Markov process, This method calculates the reliability system-level reliability activity of software system by integrating component-level reliability evaluation. The feasibility of this method is validated by real time software, which is of great significance to the reliability evaluation of software development and the prediction of software reliability in the later stage.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Wenna Ren AU - Baolong Guo PY - 2018/03 DA - 2018/03 TI - Research on Reliability Analysis of Component-Based Software BT - Proceedings of the 2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018) PB - Atlantis Press SP - 226 EP - 232 SN - 2352-5401 UR - https://doi.org/10.2991/iceea-18.2018.50 DO - 10.2991/iceea-18.2018.50 ID - Ren2018/03 ER -