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Erschienen in: Software Quality Journal 2/2018

17.04.2017

Evaluating perceived and estimated data quality for Web 2.0 applications: a gap analysis

verfasst von: Wen-Ming Han

Erschienen in: Software Quality Journal | Ausgabe 2/2018

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Abstract

To increase user satisfaction and enhance a positive image, the quality of software needs to be continuously improved. This study empirically investigates the importance of 15 quality characteristics and evaluates how well the Web 2.0 applications perform on those characteristics from a data quality perspective. Based on questionnaire responses from 279 participants and the results of importance–performance analysis, the performance of all data quality characteristics was found to be below the end user expectation. Confidentiality showed the greatest discrepancy between importance and performance.

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Metadaten
Titel
Evaluating perceived and estimated data quality for Web 2.0 applications: a gap analysis
verfasst von
Wen-Ming Han
Publikationsdatum
17.04.2017
Verlag
Springer US
Erschienen in
Software Quality Journal / Ausgabe 2/2018
Print ISSN: 0963-9314
Elektronische ISSN: 1573-1367
DOI
https://doi.org/10.1007/s11219-017-9365-7

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