首页    期刊浏览 2024年11月28日 星期四
登录注册

文章基本信息

  • 标题:A Method for Selecting a Model to Estimate Software Reliability at the Design Phase of Component-Based Real-Time System Development
  • 本地全文:下载
  • 作者:Mohit Garg
  • 期刊名称:Journal of Software
  • 印刷版ISSN:1796-217X
  • 出版年度:2018
  • 卷号:13
  • 期号:6
  • 页码:317-334
  • DOI:10.17706/jsw.13.6.317-334
  • 出版社:Academy Publisher
  • 摘要:The rapid growth of software-based functionalities has not only increased the complexity of Component-Based Real-Time Systems (CBRTS) but also made it difficult for designers to quantify its reliability. Architecture-Based Software Reliability Models (ABSRMs) are useful for estimating the architectural reliability of component-based systems so that the behavior of its software components can be examined at different development phases. However, due to the availability of a number of models spread over different ABSRM categories, it is difficult to know which one is suitable for a particular system. Traditional model selection methods have two limitations: (i) they can only be applied to identify a model from a specific ABSRM category; and (ii) they omit a well-defined and verified mechanism to identify the ABSRMs which are capable of addressing the reliability requirements at an early development phase. Reliability estimation at the design phase enables developers to analyze the impact of the software component’s reliability and its interactions on a CBRTS, study the sensitivity of CBRTS reliability to the reliabilities of its software components and interfaces and guide the process of identifying potential troublesome software components which require more attention during the integration exercises. In this paper, we describe a method for selecting an ABSRM to estimate software reliability at the design phase of a CBRTS development. To demonstrate the usefulness of our proposed method, we apply it to an automotive Automatic Parking System.
  • 其他关键词:Architecture-based model, software reliability estimation, component-based system, software reliability model selection
国家哲学社会科学文献中心版权所有