Optimization of automated software testing using meta-heuristic techniques / Manju Khari, Deepti Bala Mishra, Biswaranjan Acharya, Ruben Gonzalez Crespo, editors.
Khari, Manju, editor.; Mishra, Deepti Bala, editor.; Acharya, Biswaranjan, editor.; Crespo, Rubén González, editor.
2022
QA76.76.T48
Available Online

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Title Optimization of automated software testing using meta-heuristic techniques / Manju Khari, Deepti Bala Mishra, Biswaranjan Acharya, Ruben Gonzalez Crespo, editors.
ISBN 9783031072970 (electronic bk.)
3031072979 (electronic bk.)
9783031072963
3031072960
DOI https://doi.org/10.1007/978-3-031-07297-0
Published Cham, Switzerland : Springer, 2022.
Language English
Description 1 online resource : illustrations (black and white, and colou).
Item Number 10.1007/978-3-031-07297-0 doi
Call Number QA76.76.T48
Dewey Decimal Classification 005.1/4
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. .
Note Includes index.
Bibliography, etc. Note References -- Comparison and Validation of Mutation Testing Tools Based on Java Language -- 1 Introduction -- 2 Related Work -- 3 Formulation of Research Questions -- 4 Empirical Data Collection -- 5 Analysis of Results -- 6 Conclusions and Future Work -- References -- State Traversal: Listen to Transitions for Coverage Analysis of Test Cases to Drive the Test -- 1 Introduction -- 2 Background Study -- 3 Related Work -- 4 Framework for Generating Test Cases -- 5 Case Study Implementation -- 6 Conclusion with Future Work -- References
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Khari, Manju, editor.
Mishra, Deepti Bala, editor.
Acharya, Biswaranjan, editor.
Crespo, Rubén González, editor.
Series EAI/Springer innovations in communication and computing.
Available in Other Form Optimization of automated software testing using meta-heuristic techniques.
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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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