Abstract
With the rapid development of component software technology, it is very important how to improve the single component software reliability and how to estimate the whole software system reliability using component software reli- ability. In this paper, we firstly analyize the defects of the traditional method to calculate the component software reliabil- ity estimation. Then, a new strategy is presented for solving this problem. We call the strategy as variance decomposition. Finally, we verify the advancement of the approach in the theory. 1. FOREWORD Today, with the rapid development of computer science, the software development of the large complicated software system, based on the component software design, is turning mature day by day. Whereas, with the main emphasis put on the development technology of the component software and the reuse technology of the component software, less atten- tion has been attached to the quality problems, like the com- ponent software reliability (1). To improve the reliability of the component software, it is a common practice to calculate or estimate the reliability of the software system. As the available data of the compo- nent software rating is rather limited, so the accuracy of the estimation of the reliability, based on the data, would be greatly affected. Besides, when the same performance is re- quired, it is possible to use the same component software in various systems or in different positions of the same system. So it is necessary to take the variance decomposition and confidence interval into definite consideration. 2. TRADITIONAL RELIABILITY ESTIMATION The pattern of the software reliability estimation can be divided into the reliability distribution pattern and redun- dancy distribution pattern. For the reliability distribution pattern, the reliability of the component software is regarded as a decisive variable. As for the redundancy distribution pattern, the decisive variable is the choice of the redundance rating and component software. 2.1. The Pattern of Reliability Estimation
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
