Title :
Comparison of Web size measures for predicting Web design and authoring effort
Author :
Mendes, E. ; Mosley, N. ; Counsell, S.
Author_Institution :
Dept. of Comput. Sci., Auckland Univ., New Zealand
fDate :
6/1/2002 12:00:00 AM
Abstract :
Software practitioners recognise the importance of realistic estimates of effort for the successful management of software projects, the Web being no exception. Estimates are necessary throughout the whole development life cycle. They are fundamental when bidding for a contract or when determining a project´s feasibility in terms of cost-benefit analysis. In addition, they allow project managers and development organisations to manage resources effectively. Size, which can be described in terms of length, functionality and complexity, is often a major determinant of effort. Most effort prediction models to date concentrate on functional measures of size, although length and complexity are also essential aspects of size. A case study evaluation is described, in which size metrics characterising length, complexity and functionality are obtained and used to generate effort prediction models for Web authoring and design. The comparison of these size metrics as effort predictors is described by generating corresponding prediction models, and their accuracy is compared using boxplots of the residuals. Results suggest that in general all categories present a similar prediction accuracy
Keywords :
Internet; project management; software development management; Web authoring effort prediction; Web design effort prediction; Web size measures; software project management;
Journal_Title :
Software, IEE Proceedings -
DOI :
10.1049/ip-sen:20020337