Enhancing Software Fault Prediction With Machine Learning: Emerging Research and Opportunities

Author:   Ekbal Rashid
Publisher:   IGI Global
ISBN:  

9781522531852


Pages:   156
Publication Date:   30 September 2017
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Enhancing Software Fault Prediction With Machine Learning: Emerging Research and Opportunities


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Overview

Software development and design is an intricate and complex process that requires a multitude of steps to ultimately create a quality product. One crucial aspect of this process is minimizing potential errors through software fault prediction. Enhancing Software Fault Prediction With Machine Learning: Emerging Research and Opportunities is an innovative source of material on the latest advances and strategies for software quality prediction. Including a range of pivotal topics such as case-based reasoning, rate of improvement, and expert systems, this book is an ideal reference source for engineers, researchers, academics, students, professionals, and practitioners interested in novel developments in software design and analysis.

Full Product Details

Author:   Ekbal Rashid
Publisher:   IGI Global
Imprint:   IGI Global
Weight:   0.475kg
ISBN:  

9781522531852


ISBN 10:   1522531858
Pages:   156
Publication Date:   30 September 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Ekbal Rashid, Aurora's Technological and Research Institute, India.

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