Despite decades of research, developing software that is fit for purpose, developed on time, and within budget remains a challenge. Many researchers have advocated the use of artificial intelligence techniques such as knowledge-based systems, neural networks, and data mining as a way of addressing these difficulties. ""Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects"" provides an overview of useful techniques in artificial intelligence for future software development along with critical assessment for further advancement. A compendium of latest industry findings, this premier reference source offers researchers, academicians, and practitioners developmental ideas within the field.
| ISBN-13: | 9781605667584 |
| ISBN-10: | 1605667587 |
| Publisher: | Information Science Reference |
| Publication date: | 2010 |
| Edition description: | 1 |
| Pages: | 346 |
| Product dimensions: | Height: 11 Inches, Length: 8.5 Inches, Weight: 2.94978506556 Pounds, Width: 0.88 Inches |
| Author: | Farid Meziane, Sunil Vadera |
| Language: | en |
| Binding: | Hardcover |
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