Capturing the Information Dependencies of Verification Activities with Bayesian Networks
Capturing the Information Dependencies of Verification Activities with Bayesian Networks
复制标题
使用贝叶斯网络捕获验证活动的信息依赖性
DOI:
10.1007/978-3-030-00114-8_46
复制
发表时间:
2019
期刊:
影响因子:
--
通讯作者:
Farshad Farkhondehmaal
中科院分区:
文献类型:
--
作者:
A. Salado;Hanumanthrao Kannan;Farshad Farkhondehmaal
Verification activities provide the evidence of contractual fulfillment in the engineering of systems. Thus, the importance of adequately defining verification activities in any acquisition program is unquestionable. Its significance extends beyond contracting though. A major portion of the development financial budget is spent in executing verification activities, and verification activities are the main vehicle in discovering knowledge about the system, which is key to reduce development risk. Hence, it is important to optimize verification activities so that a given level of confidence about the proper functioning of the system is achieved with minimum investment. Current approaches to optimize verification strategies assume that a verification activity contributes to an absolute increase or decrease in such confidence. That means that the confidence generated by a verification activity is independent of the past or potential future results of other verification activities. However, this representation is not an accurate reflection of actual practice. On the contrary, the necessity to perform a given verification activity depends on the results of all verification activities that have been previously performed. In order to address such limitation, we show in this paper how Bayesian networks can be an effective approach to capture the information dependencies of verification activities.