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System Assurances: Modeling and Management

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  • Дата: 13-09-2022, 19:19
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System Assurances: Modeling and ManagementНазвание: System Assurances: Modeling and Management (Emerging Methodologies and Applications in Modelling, Identification and Control)
Автор: Prashant Johri, Adarsh Anand, Juri Vain
Издательство: Academic Press/Elsevier
Год: 2022
Страниц: 581
Язык: английский
Формат: pdf (true)
Размер: 22.7 MB

System Assurances: Modeling and Management updates on system assurance and performance methods using advanced analytics and understanding of software reliability growth modeling from today’s debugging team’s point-of-view, along with information on preventive and predictive maintenance and the efficient use of testing resources. The book presents the rapidly growing application areas of systems and software modeling, including intelligent synthetic characters, human-machine interface, menu generators, user acceptance analysis, picture archiving and software systems. Students, research scholars, academicians, scientists and industry practitioners will benefit from the book as it provides better insights into modern related global trends, issues and practices.

At present, many OSS (open source software) are used in many software development organizations. Also, many commercial software have been developed by embedding several OSS components because of standardization, cost reduction, quick delivery, etc. Various methods for software reliability assessment of OSS system have been proposed by several researchers. Moreover, many OSS systems have used the fault tracking systems such as the Bugzilla. Also, many research papers have discussed the methods in terms of the fault tracking system. In the Chapter 1, we discuss statistical analysis such as correspondence analysis. In particular, we apply correspondence analysis to the fault large-scale data of OSS. Then the discussed method based on correspondence analysis can be used to understand the whole trend of the fault large-scale data of OSS. Correspondence analysis has been used in many marketing areas. Also, several research papers have been proposed by using correspondence analysis.

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