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Search of Similar Programs Using Code Metrics and Big Data-Based Assessment of Software Reliability

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Applications of Big Data Analytics

Abstract

The work offers the adaptation of the big data analysis methods for software reliability increase. We suggest using software with similar properties and with the known reliability indicators for reliability prediction of new software. The concept of similar programs is formulated on the basis of five principles. Search results of similar programs are shown. Analysis, visualization, and interpreting for offered reliability metrics of similar programs are executed. The conclusion is drawn on reliability similarity for similar software and on a possibility of use of metrics for prediction of new software reliability. The reliability prediction will allow developers to operate resources and processes of verification and refactoring and provide software reliability increase in cutting of costs for development.

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Correspondence to Svitlana Yaremchuck .

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Yaremchuck, S., Kharchenko, V., Gorbenko, A. (2018). Search of Similar Programs Using Code Metrics and Big Data-Based Assessment of Software Reliability. In: Alani, M., Tawfik, H., Saeed, M., Anya, O. (eds) Applications of Big Data Analytics. Springer, Cham. https://doi.org/10.1007/978-3-319-76472-6_10

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  • DOI: https://doi.org/10.1007/978-3-319-76472-6_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76471-9

  • Online ISBN: 978-3-319-76472-6

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