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STAR: An Innovative Data-Driven Solution for Software Quality Assurance

In: Probability and Statistical Models in Operations Research, Computer and Management Sciences

Author

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  • Kazuhira Okumoto

    (Sakura Software Solutions LLC)

Abstract

Imagine a world where software quality assurance is effortlessly managed using a single digital tool, eliminating the need for complex models and technical expertise. Despite numerous software reliability models developed over the years, practical applications remain challenging. Enter STAR, a revolutionary digital engineering tool offering zero-touch automation, advanced analytics, and intuitive visualizations on a cloud-based SaaS platform. STAR’s innovative approach utilizes multiple curves, overcoming challenges posed by traditional models. This chapter delves into STAR’s unique features, system architecture, and practical applications through real-world examples, showcasing its effectiveness in software quality assurance.

Suggested Citation

  • Kazuhira Okumoto, 2024. "STAR: An Innovative Data-Driven Solution for Software Quality Assurance," Springer Series in Reliability Engineering, in: Syouji Nakamura & Katsushige Sawaki & Toshio Nakagawa (ed.), Probability and Statistical Models in Operations Research, Computer and Management Sciences, pages 195-220, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-031-64597-6_10
    DOI: 10.1007/978-3-031-64597-6_10
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