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

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

doi:10.1007/978-3-031-07297-0

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

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Details

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

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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.

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Optimization of automated software testing using meta-heuristic techniques.

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