Code-based analysis of the development effort of a large scale courseware project

  • Authors:
  • I. M. Marshall;S. Price;P. I. Dugard;P. Hobbs;W. B. Samson

  • Affiliations:
  • Department of Information Technology, University of Lincolnshire and Humberside, Cottingham Road, Kingston upon Hull HU6 7RT, UK;Centre for Computing in the Social Sciences, University of Bristol, Bristol, UK;School of Informatics, University of Abertay, Dundee, UK;Centre for Computing in the Social Sciences, University of Bristol, Bristol, UK;School of Informatics, University of Abertay, Dundee, UK

  • Venue:
  • Information and Software Technology
  • Year:
  • 1997

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Abstract

This paper investigates proposed code-based measures for multimedia courseware as part of an on-going program of research into effort estimation models. The proposed code-based size measures are analysed using source code and project data from WinEcon courseware written in the ToolBook authoring language. Statistical analysis of a priori, ToolBook specific and portable subsets of 47 code measurements are presented along with proposed predictive models of courseware development effort based on a priori, best subset and portable subset modelling assumptions.