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A novel reliability analysis approach for component‐based software based on the complex network theory.

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Title: A novel reliability analysis approach for component‐based software based on the complex network theory.
Authors: Li, Kewen1 likw@upc.edu.cn, Yu, Mingxiao1, Liu, Lu1, Zhai, Jiannan2, Liu, Wenying1
Source: Software Testing: Verification & Reliability. Sep2018, Vol. 28 Issue 6, p1-1. 13p.
Subjects: Software reliability, Computer reliability, Mathematical optimization, Probability theory, Bernstein polynomials
Abstract: Summary: Traditional software reliability evaluation approaches lack the analysis of intercomponent interactions of component‐based software systems, necessitating software reliability evaluation based on the reliabilities of the overall architecture and each component. In this paper, we propose a reliability evaluation model and an importance assessment technique for component‐based software based on the complex network theory. The components of a software system are identified and divided into 2 categories, input/output components and ordinary components. Then, the impact factors of ordinary components and input/output components are calculated based on the complex network theory and execution probabilities, respectively. Finally, the impact factors are used to evaluate the reliability of the software system and assess the importance of each component. Experimental results show that the proposed approach is able to estimate the reliability of component‐based software and provide relative priorities of the components that can be used to guide the system reliability optimization. [ABSTRACT FROM AUTHOR]
Copyright of Software Testing: Verification & Reliability is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Summary: Traditional software reliability evaluation approaches lack the analysis of intercomponent interactions of component‐based software systems, necessitating software reliability evaluation based on the reliabilities of the overall architecture and each component. In this paper, we propose a reliability evaluation model and an importance assessment technique for component‐based software based on the complex network theory. The components of a software system are identified and divided into 2 categories, input/output components and ordinary components. Then, the impact factors of ordinary components and input/output components are calculated based on the complex network theory and execution probabilities, respectively. Finally, the impact factors are used to evaluate the reliability of the software system and assess the importance of each component. Experimental results show that the proposed approach is able to estimate the reliability of component‐based software and provide relative priorities of the components that can be used to guide the system reliability optimization. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Software Testing: Verification & Reliability is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/stvr.1674
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        Text: English
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        PageCount: 13
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      – SubjectFull: Mathematical optimization
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      – SubjectFull: Bernstein polynomials
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              M: 09
              Text: Sep2018
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