Optimization of automated software testing using meta-heuristic techniques

Optimization of automated software testing using meta-heuristic techniques

by Acharya, Biswaranjan Crespo, Rubén González Khari, Manju Mishra, Deepti Bala

Type Book
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This book provides awareness of different evolutionary methods used for automatic generation and optimization of test data in the field of software testing. While the book highlights on the foundations of software testing techniques, it also focuses on contemporary topics for research and development. This book covers the automated process of testing in different levels like unit level, integration level, performance level, evaluation of testing strategies, testing in security level, optimizing…

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Title Statements

  • Full title :Optimization of automated software testing using meta-heuristic techniques / Manju Khari, Deepti Bala Mishra, Biswaranjan Acharya, Ruben Gonzalez Crespo, editors.

Summary

This book provides awareness of different evolutionary methods used for automatic generation and optimization of test data in the field of software testing. While the book highlights on the foundations of software testing techniques, it also focuses on contemporary topics for research and development. This book covers the automated process of testing in different levels like unit level, integration level, performance level, evaluation of testing strategies, testing in security level, optimizing test cases using various algorithms, and controlling and monitoring the testing process etc. This book aids young researchers in the field of optimization of automated software testing, provides academics with knowledge on the emerging field of AI in software development, and supports universities, research centers, and industries in new projects using AI in software testing. Supports the advancement in the artificial intelligence used in software development; Advances knowledge on artificial intelligence based metaheuristic approach in software testing; Encourages innovation in traditional software testing field using recent artificial intelligence. .

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Edition Statements

  • Publication Date:2022.

Publication Statements

  • Publisher(s):Springer
  • Place of Publication:Cham, Switzerland
  • Language:eng
  • Publication Date:2022.

Notes

Includes index.

The Physical Object

  • Description:1 online resource : : illustrations (black and white, and colou).

Edition Identifiers

  • ISBN:9783031072970, 3031072979
  • DOI:10.1007/978-3-031-07297-0
  • oclc:on1347436047
  • LC Classification:QA76.76.T48
  • Dewey Decimal:005.1/4

Table of Contents

Introduction -- Testing Fundamentals -- Strategies and Methods For Test Cases -- Automated Testing Levels -- Polices and Plans for Testing -- Test Organization -- Controlling and Monitoring Testing Process -- Evaluating Automated Software Quality -- Defect Analysis and Prevention -- Optimization -- Security Testing -- Conclusion.

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