Early detection of software reliability: A design analysis

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Abstract

Reliability of software is the capability of itself to maintain its level of stability under specified conditions for a specified period of time. The reliability of software is influenced by process and product factors. Among them, the design mechanism has a considerable impact on overall quality of the software. A well-designed internal structure of software is a required for ensuring better reliable. Based on this, we propose a framework for modeling the influence of design metrics on one of the external quality factors, reliability of the software. Here, multivariate regression analysis is applied to arrive a formal model, which is the linear combination of weighted polynomial equations. These estimation equations are formed based on the intricate relationship between the design properties of software system as represented by CK metric suite and the reliability.

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Selvarani, R., & Bharathi, R. (2017). Early detection of software reliability: A design analysis. In Strategic Engineering for Cloud Computing and Big Data Analytics (pp. 83–99). Springer International Publishing. https://doi.org/10.1007/978-3-319-52491-7_5

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