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Statistical Analysis of Requirements Prioritization for Transition to Web Technologies: A Case Study in an Electric Power Organization
Department of Informatics, Aristotle University of Thessaloniki, Greece. (CERIS)ORCID iD: 0000-0002-0311-1502
Department of Informatics, Aristotle University of Thessaloniki, Greece.
Department of Informatics, Aristotle University of Thessaloniki, Greece.
Department of Informatics, Aristotle University of Thessaloniki, Greece.
2014 (English)In: Software Quality. Model-Based Approaches for Advanced Software and Systems Engineering: 6th International Conference, SWQD 2014, Vienna, Austria, January 14-16, 2014. Proceedings / [ed] Winkler, D.; Biffl, S.; Bergsmann, J., Cham: Springer, 2014, p. 63-84Conference paper, Published paper (Refereed)
Abstract [en]

Transition from an existing IT system to modern Web technologies provides multiple benefits to an organization and its customers. Such a transition in a large organization involves various groups of stakeholders who may prioritize differently the requirements of the software under development. In our case study, the organization is a leading domestic company in the field of electricity power. The existing online system supports the customer service along with the technical activities and has more than 1,500 registered users, while simultaneous access can be reached by 300 users. The paper presents an empirical study where 51 employees in different roles prioritize 18 software requirements using hierarchical cumulative voting. The goal of this study is to test significant differences in prioritization between groups of stakeholders. Statistical methods involving data transformation, ANOVA and Discriminant Analysis were applied to data. The results showed significant differences between roles of the stakeholders in certain requirements.

Place, publisher, year, edition, pages
Cham: Springer, 2014. p. 63-84
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 166
Keywords [en]
Requirement prioritisation, Software quality, Hierarchical Cumulative Voting, Statistical Analysis
National Category
Information Systems Software Engineering Computer Sciences Information Systems, Social aspects
Research subject
Information technology; Informatics; Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-72560DOI: 10.1007/978-3-319-03602-1_5ISBN: 978-3-319-03602-1 (electronic)ISBN: 978-3-319-03601-4 (print)OAI: oai:DiVA.org:oru-72560DiVA, id: diva2:1289914
Conference
6th International Conference on Software Quality (SWQD 2014), Vienna, Austria, January 14-16, 2014
Available from: 2019-02-19 Created: 2019-02-19 Last updated: 2019-02-20Bibliographically approved

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Chatzipetrou, Panagiota

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CiteExportLink to record
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Citation style
  • apa
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Language
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Output format
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