Testability Assessment Model for Object Oriented Software based on Internal and External Quality Factors

Testability Assessment Model for Object Oriented Software based on Internal and External Quality Factors

Harsha Singhani

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Dr. Pushpa R. Suri

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α Kurukshetra University

σ Maharishi Markandeshwar University, Mullana

Testability Assessment Model for Object Oriented Software based on Internal and External Quality Factors

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Abstract

Software testability is coming out to be most frequent talked about subject then the underrated and unpopular quality factor it used to be in past few years. The correct and timely assessment of testability can lead to improvisation of software testing process. Though many researchers and quality controllers have proved its importance, but still the research has not gained much momentum in emphasizing the need of making testability analysis necessary during all software development phases. In this paper we review and analyse the factors affecting testability estimation of object oriented software systems during design and analysis phase of development life cycle. These factors are then linked together in the form of new assessment model for object oriented software testability. The proposed model will be evaluated using analytical hierarchical process (AHP).

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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How to Cite This Article

Harsha Singhani. 2015. \u201cTestability Assessment Model for Object Oriented Software based on Internal and External Quality Factors\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 15 (GJCST Volume 15 Issue C5): .

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GJCST Volume 15 Issue C5
Pg. 9- 16

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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D.2.2

Submission ReceivedDecember 16, 2014
Peer Review Double Blind
Handling Editor
Accepted January 5, 2015
Published January 15, 2015

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v1.2

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July 17, 2015

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Harsha Singhani, Dr. Pushpa R. Suri (PhD/Dr. count: 1)

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