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Cost estimation for web applications

Published: 03 May 2003 Publication History

Abstract

In this paper, we investigate the application of the COBRA™ method (Cost Estimation, Benchmarking, and Risk Assessment) in a new application domain, the area of web development. COBRA combines expert knowledge with data on a small number of projects to develop cost estimation models, which can also be used for risk analysis and benchmarking purposes. We modified and applied the method to the web applications of a small Australian company, specializing in web development. In this paper we present the modifications made to the COBRA method and results of applying the method. In our study, using data on twelve web applications, the estimates derived from our Web-COBRA model showed a Mean Magnitude of Relative Error (MMRE) of 0.17. This result significantly outperformed expert estimates from Allette Systems (MMRE 0.37). A result comparable to Web-COBRA was obtained when applying ordinary least squares regression with size in terms of Web Objects as an independent variable (MMRE 0.23).

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  • (2017)Research patterns and trends in software effort estimationInformation and Software Technology10.1016/j.infsof.2017.06.00291:C(1-21)Online publication date: 1-Nov-2017
  • (2014)Is there a place for qualitative studies when identifying effort predictors?Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering10.1145/2601248.2601281(1-10)Online publication date: 13-May-2014
  • (2013)Realising web effort estimationProceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering10.1145/2460999.2461002(12-23)Online publication date: 14-Apr-2013
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cover image ACM Conferences
ICSE '03: Proceedings of the 25th International Conference on Software Engineering
May 2003
841 pages
ISBN:076951877X

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IEEE Computer Society

United States

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Published: 03 May 2003

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ICSE '03 Paper Acceptance Rate 42 of 324 submissions, 13%;
Overall Acceptance Rate 276 of 1,856 submissions, 15%

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Cited By

View all
  • (2017)Research patterns and trends in software effort estimationInformation and Software Technology10.1016/j.infsof.2017.06.00291:C(1-21)Online publication date: 1-Nov-2017
  • (2014)Is there a place for qualitative studies when identifying effort predictors?Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering10.1145/2601248.2601281(1-10)Online publication date: 13-May-2014
  • (2013)Realising web effort estimationProceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering10.1145/2460999.2461002(12-23)Online publication date: 14-Apr-2013
  • (2012)The role of systematic reviews in identifying the state of the art in web resource estimationProceedings of the 2nd international workshop on Evidential assessment of software technologies10.1145/2372233.2372237(3-8)Online publication date: 22-Sep-2012
  • (2011)Using web objects for development effort estimation of web applicationsProceedings of the 12th international conference on Product-focused software process improvement10.5555/2022348.2022370(186-201)Online publication date: 20-Jun-2011
  • (2011)Application migration to cloudProceedings of the 2nd International Workshop on Software Engineering for Cloud Computing10.1145/1985500.1985505(22-28)Online publication date: 22-May-2011
  • (2009)Conceptual data model-based software size estimation for information systemsACM Transactions on Software Engineering and Methodology10.1145/1571629.157163019:2(1-37)Online publication date: 14-Oct-2009
  • (2009)Web hypermedia content management system effort estimation modelACM SIGSOFT Software Engineering Notes10.1145/1507195.150720134:2(1-7)Online publication date: 28-Feb-2009
  • (2009)Software project effort estimation with voting rulesDecision Support Systems10.1016/j.dss.2008.12.00246:4(895-901)Online publication date: 1-Mar-2009
  • (2009)An Empirical Study on the Use of Web-COBRA and Web Objects to Estimate Web Application Development EffortProceedings of the 9th International Conference on Web Engineering10.1007/978-3-642-02818-2_17(213-220)Online publication date: 18-Jun-2009
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