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Testing the consist...
Testing the consistency of business data objects using extended static testing of CRUD matrices
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- Bures, Miroslav (author)
- The Czech Technical University in Prague, CZE
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- Cerny, Tomas (author)
- ECS Baylor University, USA.
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- Frajtak, Karel (author)
- The Czech Technical University in Prague, CZE
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- Ahmed, Bestoun S., 1982- (author)
- The Czech Technical University in Prague, CZE ;Salahaddin University, IRQ
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The Czech Technical University in Prague, CZE ECS Baylor University, USA (creator_code:org_t)
- 2017-08-24
- 2019
- English.
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In: Cluster Computing. - : Springer-Verlag New York. - 1386-7857 .- 1573-7543. ; 22, s. 963-976
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- Static testing is used to detect software defects in the earlier phases of the software development lifecycle, which makes the total costs caused by defects lower and the software development project less risky. Different types of static testing have been introduced and are used in software projects. In this paper, we focus on static testing related to data consistency in a software system. In particular, we propose extensions to contemporary static testing techniques based on CRUD matrices, employing cross-verifications between various types of CRUD matrices made by different parties at various stages of the software project. Based on performed experiments, the proposed static testing technique significantly improves the consistency of Data Cycle Test cases. Together with this trend, we observe growing potential of test cases to detect data consistency defects in the system under test, when utilizing the proposed technique.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Static testing
- Data consistency testing
- Data Cycle Test
- CRUD matrix
- Computer Science
- Datavetenskap
Publication and Content Type
- ref (subject category)
- art (subject category)
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