Statistical Techniques and Metrics for Software Quality Prediction

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Details

Empirical validations of software metrics are used to predict software quality in the past years. This book provides a review of empirical studies to predict software fault proneness with a specific focus on techniques used. It highlights the milestone studies done in this area with statistical techniques and metrics. Work done in the field of software fault prediction studies has been elaborated while focusing on statistical techniques and their usage to predict fault proneness. This book emphasizes on more use of class level metrics and statistical techniques to ensure better software quality.

Autorentext

A Dra. MONIKA recebeu o doutoramento em Engenharia e Tecnologia da Universidade de Panjab, Chandigarh, em 2023. Atualmente, ela trabalha como professora assistente em Tecnologia da Informação na UIET, Panjab University. Ela orientou mais de 10 dissertações de Mestrado em Engenharia. Os seus interesses de investigação incluem a engenharia de software e a extração de dados.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786206164128
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 116
    • Genre Software
    • Sprache Englisch
    • Gewicht 191g
    • Untertitel DE
    • Autor Monika Sharma
    • Größe H220mm x B150mm x T7mm
    • Jahr 2023
    • EAN 9786206164128
    • Format Kartonierter Einband
    • ISBN 6206164128
    • Veröffentlichung 28.06.2023
    • Titel Statistical Techniques and Metrics for Software Quality Prediction

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