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Regression Testing in Era of Internet of Things and Machine Learning: A practical approach

de Abhinandan H Patil

Tapa blanda
Cubierta flexible y laminada, con acabado de brillo intenso.
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Acerca del libro
The book re-visits Regression testing in the light of Internet of Things Operating System testing. Book explores Machine Learning concepts applied to generic Regression test data. The book is for Software Engineering enthusiasts, test Architects who want to explore applying Machine Learning concepts to testing. As a case study, to demonstrate Internet of Things Operating System testing one of the Operating System is taken as case study. Regression test suites are written from scratch and re-engineered using leading test design tool. Automation of test script generation is explored. To demonstrate the Machine Learning concepts applied to testing Weka is used.
Sitio web del autor
https://www.abhinandanhpatil.info
Características y detalles
  • Categoría principal: Educación
  • Características: 15×23 cm
    N.º de páginas: 222
  • ISBN
    • Tapa blanda: 9780464586678
  • Fecha de publicación: nov. 24, 2019
  • Idioma English
  • Palabras clave IOT, Machine Learning, Regression Testing
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Acerca del creador
Abhinandan14
Abhinandan H. Patil
Belgaum, Karnataka, India

Abhinandan H. Patil is Founder and CTO of Technology Firm in India, Karnataka. Before this, he has worked in Wireless Network Software Organization as Lead Software Engineer for close to a decade. He spent 5 years in Research and the output of the Research is available as Book and Thesis in IJSER, USA. He is Active Researcher in the field of Machine Learning, Deep Learning, Data Science, Artificial Intelligence, Regression Testing applied to Networks, Communication and Internet of Things. He is active contributor of Science, Technology, Engineering and Mathematics. He is currently working on few Undisclosed Books. In the capacity as CTO of organization He carries out Research activity. He has started Blogging recently on Technology and Allied Areas. He is nominated for RULA Research Award

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