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An investigation of effort distribution among development phases: A four-stage progressive software cost estimation model
RISE - Research Institutes of Sweden, ICT, SICS. University of Cyprus, Cyprus.
University of Western Macedonia, Greece.
Aristotle University, Greece.
Cyprus University of Technology, Cyprus.
2017 (English)In: Journal of Software: Evolution and Process, ISSN 2047-7473, E-ISSN 2047-7481Article in journal (Refereed) In press
Abstract [en]

Software cost estimation is a key process in project management. Estimations in the initial project phases are made with a lot of uncertainty that influences estimation accuracy which typically increases as the project progresses in time. Project data collected during the various project phases can be used in a progressive time-dependent fashion to train software cost estimation models. Our motivation is to reduce uncertainty and increase confidence based on the understanding of patterns of effort distributions in development phases of real-world projects. In this work, we study effort distributions and suggest a four-stage progressive software cost estimation model, adjusting the initial effort estimates during the development life-cycle based on newly available data. Initial estimates are reviewed on the basis of the experience gained as development progresses and as new information becomes available. The proposed model provides an early, a post-planning, a post-specifications, and a post-design estimate, while it uses industrial data from the ISBSG (R10) dataset. The results reveal emerging patterns of effort distributions and indicate that the model provides effective estimations and exhibits high explanatory value. Contributions in lessons learned and practical implications are also provided.

Place, publisher, year, edition, pages
2017.
Keyword [en]
Four-stage progressive model, Project management, Software cost estimation, Cost benefit analysis, Costs, Development phasis, Emerging patterns, Industrial datum, Progressive models, Project progress, Real world projects, Software cost estimation models, Software cost estimations, Cost estimating
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-31169DOI: 10.1002/smr.1881Scopus ID: 2-s2.0-85021258815OAI: oai:DiVA.org:ri-31169DiVA: diva2:1135613
Available from: 2017-08-23 Created: 2017-08-23 Last updated: 2017-08-23Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
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  • en-US
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  • nn-NB
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