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portada RULE-BASED EXPERT SYSTEM FOR SOFTWARE VERSION CLASSIFICATION: Design, Knowledge Representation, Inference Engine, and Practical Apps for Intelligent Software Version Management
Type
Physical Book
Publisher
Author
Language
English
Pages
76
Format
Paperback
ISBN13
9786630301458

RULE-BASED EXPERT SYSTEM FOR SOFTWARE VERSION CLASSIFICATION: Design, Knowledge Representation, Inference Engine, and Practical Apps for Intelligent Software Version Management

Matumueni, Humberto Cuteso (Author) · GlobeEdit · Paperback

RULE-BASED EXPERT SYSTEM FOR SOFTWARE VERSION CLASSIFICATION: Design, Knowledge Representation, Inference Engine, and Practical Apps for Intelligent Software Version Management - Matumueni, Humberto Cuteso

New Book Imported to South Africa
Delivery: 04 Dec - 10 Dec Shipping: 14 to 15 business days.
R 958
R 958

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Synopsis "RULE-BASED EXPERT SYSTEM FOR SOFTWARE VERSION CLASSIFICATION: Design, Knowledge Representation, Inference Engine, and Practical Apps for Intelligent Software Version Management"

This book presents the design and implementation of a Rule-Based Expert System for software version classification using decision rules. It explains the principles of expert systems, knowledge representation, rule-based reasoning, and inference mechanisms applied to software version management. Readers will learn how to acquire expert knowledge, construct a knowledge base, develop decision rules, and implement an inference engine capable of identifying and classifying software versions accurately and consistently. The book also discusses practical applications, system architecture, performance evaluation, and future research directions. Intended for students, researchers, software engineers, and IT professionals, this work combines theoretical foundations with practical examples to demonstrate how artificial intelligence techniques can improve software version identification, maintenance, and decision-making processes in modern computing environments.

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