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Erschienen in: Cluster Computing 1/2019

13.03.2018

Evaluation of software quality-in-use attributes based on analysis network process

verfasst von: Seung-Hee Kim, Woo-Je Kim

Erschienen in: Cluster Computing | Sonderheft 1/2019

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Abstract

Software quality-in-use is difficult to measure because it is based on user’s perception and closely related to corporate management performance. The application service quality indicator (ASQI) software quality-in-use has been developed that can be applied practically with the advantages of using the international standard under development. To measure the software quality-in-use of with ASQI, an accurate analysis of the importance of quality attributes in ASQI is required. In this study, a correlation analysis between quality attributes was first performed for applying analytic network process (ANP) to assess importance. Second, relative weights were derived using analytic network process methodology. Finally, we evaluated the validity of the weights through a case study. This study is the first to analyze the interrelationship among quality-in-use attributes for general purpose software and provides objective weight information in quality measurement. Additionally, the proposed method and procedures provide guidelines for the selective application of quality attributes.

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Metadaten
Titel
Evaluation of software quality-in-use attributes based on analysis network process
verfasst von
Seung-Hee Kim
Woo-Je Kim
Publikationsdatum
13.03.2018
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe Sonderheft 1/2019
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-2309-6

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