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Combinatorial testing in cloud computing

Qi, Guanqiu.

Combinatorial testing in cloud computing

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Combinatorial testing in cloud computingby Wei-Tek Tsai, Guanqiu Qi.
作者:	Tsai, Wei-Tek.
其他作者:	Qi, Guanqiu.
出版者:	Singapore :Springer Singapore :2017.
面頁冊數:	x, 128 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Cloud computingTesting.
電子資源:	http://dx.doi.org/10.1007/978-981-10-4481-6
ISBN:	9789811044816$q(electronic bk.)

Combinatorial testing in cloud computing
Tsai, Wei-Tek.

Combinatorial testing in cloud computing[electronic resource] /by Wei-Tek Tsai, Guanqiu Qi. - Singapore :Springer Singapore :2017. - x, 128 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

1. Introduction -- 2. Related Work -- 3. Adaptive Fault Detection in Multi-Tenancy SaaS -- 4. Test Algebra for Concurrent Combinatorial Testing -- 5. Algebra Execution with Combinatorial Testing -- 6. Test Algebra Execution in A Cloud Environment -- 7. Adaptive Reasoning Algorithm with Automated Test Cases Generation qnd Test Algebra in SaaS System -- 8. TaaS Design for Combinatorial Testing -- 9. Integrated TaaS with Fault Detection and Test Algebra.

This book introduces readers to an advanced combinatorial testing approach and its application in the cloud environment. Based on test algebra and fault location analysis, the proposed combinatorial testing method can support experiments with 250 components (with 2 * (250) combinations), and can detect the fault location based on the testing results. This function can efficiently decrease the size of candidate testing sets and therefore increase testing efficiency. The proposed solution's effectiveness in the cloud environment is demonstrated using a range of experiments.

ISBN: 9789811044816$q(electronic bk.)

Standard No.: 10.1007/978-981-10-4481-6doiSubjects--Topical Terms:

609521
Cloud computing
--Testing.

LC Class. No.: QA76.585 / .T735 2017

Dewey Class. No.: 004.6782

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520 $a This book introduces readers to an advanced combinatorial testing approach and its application in the cloud environment. Based on test algebra and fault location analysis, the proposed combinatorial testing method can support experiments with 250 components (with 2 * (250) combinations), and can detect the fault location based on the testing results. This function can efficiently decrease the size of candidate testing sets and therefore increase testing efficiency. The proposed solution's effectiveness in the cloud environment is demonstrated using a range of experiments.
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