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An Investigation of Software Effort Phase Distribution Using Compositional Data Analysis
Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece. (CERIS)ORCID iD: 0000-0002-0311-1502
Department of Computer Science, University of Cyprus, Nicosia, Cyprus.
Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Department of Computer Engineering and Informatics, Cyprus University of Technology, Limassol, Cyprus.
2012 (English)In: 38th EUROMICRO Conference on Software Engineering and Advanced Applications, SEAA 2012: Proceedings / [ed] Cortellessa, V; Muccini, H; Demirors, O, IEEE, 2012, p. 367-375Conference paper, Published paper (Refereed)
Abstract [en]

One of the most significant problems faced by project managers is to effectively distribute the project resources and effort among the various project activities. Most importantly, project success depends on how well, or how balanced, the work effort is distributed among the project phases. This paper aims to obtain useful information regarding the correlation of the composition of effort attributed in phases for around 1,500 software projects of the ISBSG R11 database based on a promising statistical method called Compositional Data Analysis (CoDA). The motivation for applying this analysis is the observation that certain types of project data (effort distributions and attributes) do not relate in a direct way but present a spurious correlation. Effort distribution is compared to the project life-cycle activities, organization type, language type, function points and other prime project attributes. The findings are beneficial for building a basis for software cost estimation and improving future empirical software studies.

Place, publisher, year, edition, pages
IEEE, 2012. p. 367-375
Series
Proceedings of the EUROMICRO Conference, ISSN 1089-6503, E-ISSN 2376-9505
Keywords [en]
software effort distribution, phased effort analysis, compositional data analysis
National Category
Software Engineering Information Systems
Research subject
Informatics; Information technology; Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-72554DOI: 10.1109/SEAA.2012.50ISI: 000310462600058Scopus ID: 2-s2.0-84869860214ISBN: 978-0-7695-4790-9 (electronic)OAI: oai:DiVA.org:oru-72554DiVA, id: diva2:1289904
Conference
38th EUROMICRO Conference on Software Engineering and Advanced Applications (SEAA 2012), Cesme, Turkey, September 5-8, 2012
Available from: 2019-02-19 Created: 2019-02-19 Last updated: 2019-03-29Bibliographically approved

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Chatzipetrou, Panagiota

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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More styles
Language
  • de-DE
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  • nn-NB
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  • Other locale
More languages
Output format
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