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Enhancing Software Fault Prediction With Machine Learning: Emerging Research and Opportunities
Contributor(s): Rashid, Ekbal (Author)

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ISBN: 1522531858     ISBN-13: 9781522531852
Publisher: Engineering Science Reference
OUR PRICE: $156.75  

Binding Type: Hardcover - See All Available Formats & Editions
Published: September 2017
Qty:
Additional Information
BISAC Categories:
- Computers | Software Development & Engineering - Quality Assurance & Testing
- Computers | Software Development & Engineering - Tools
Dewey: 005.302
LCCN: 2017015192
Physical Information: 0.38" H x 7" W x 10" L (1.05 lbs) 129 pages
Features: Bibliography, Index
 
Descriptions, Reviews, Etc.
Publisher Description:
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.
 
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