Enhancing Software Fault Prediction With Machine Learning: Emerging Research and Opportunities
Author | : Rashid, Ekbal |
Publisher | : IGI Global |
Total Pages | : 143 |
Release | : 2017-09-13 |
ISBN-10 | : 9781522531869 |
ISBN-13 | : 1522531866 |
Rating | : 4/5 (866 Downloads) |
Download or read book Enhancing Software Fault Prediction With Machine Learning: Emerging Research and Opportunities written by Rashid, Ekbal and published by IGI Global. This book was released on 2017-09-13 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.