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Software Quality Journal

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17-04-2017

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

Author: Wen-Ming Han

Published in: Software Quality Journal | Issue 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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Title: Evaluating perceived and estimated data quality for Web 2.0 applications: a gap analysis
Author: Wen-Ming Han
Publication date: 17-04-2017
Publisher: Springer US
Published in: Software Quality Journal / Issue 2/2018
Print ISSN: 0963-9314
Electronic ISSN: 1573-1367
DOI: https://doi.org/10.1007/s11219-017-9365-7

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