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.
General
| Imprint: |
IGI Global
|
| Country of origin: |
United States |
| Series: |
Advances in Systems Analysis, Software Engineering, and High Performance Computing |
| Release date: |
September 2017 |
| Authors: |
Ekbal Rashid
|
| Dimensions: |
229 x 152mm (L x W) |
| Format: |
Hardcover
|
| Pages: |
156 |
| ISBN-13: |
978-1-5225-3185-2 |
| Categories: |
Books >
Computing & IT >
Computer programming >
Software engineering
|
| LSN: |
1-5225-3185-8 |
| Barcode: |
9781522531852 |
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
