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Elsevier AI Methods for Software Testing Optimization Book

Amazon

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Description

Artificial Intelligence Methods for Optimization of the Software Testing Process provides practical solutions for managing uncertainty in testing environments. Published by Academic Press, this book introduces AI-based methods to address complex initial testing problems through intelligent decision making. Readers will explore how to treat decision making as a multi-criteria and multi-objective task. The text offers specific guidelines for managing diverse types of uncertainty, helping subject matter experts across various industries improve process efficiency. With a focus on computational techniques and decision intelligence, this resource includes practical examples and exercises to assist in optimizing the testing process as the number of required test cases grows.

Key Features

This Elsevier publication provides AI-based solutions to overcome uncertainty found in many initial software testing problems.

The book covers intelligent decision making as a multi-criteria and multi-objective undertaking for testing professionals.

Includes practical examples and exercises to help readers apply computational techniques to real-world software testing scenarios.

Offers guidelines for managing diverse types of uncertainty to help subject matter experts improve industry processes.

Focuses on decision intelligence to assist in the optimization of the software testing process.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
26 July 2022
Listed Since
25 November 2021

Barcode

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