| Enhancing Software Fault Prediction With Machine Learning: Emerging Research and Opportunities Contributor(s): Rashid, Ekbal (Author) |
|
 |
ISBN: 1522531858 ISBN-13: 9781522531852 Publisher: Engineering Science Reference OUR PRICE: $156.75 Product Type: Hardcover - Other Formats Published: September 2017 |
| 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" (1.05 lbs) 129 pages |
| 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. |