Models of hypertext structure and learning
Designing hypermedia for learning
Program design methodologies and the software development process
International Journal of Man-Machine Studies
Structural analysis of hypertexts: identifying hierarchies and useful metrics
ACM Transactions on Information Systems (TOIS)
Effort estimation using analogy
Proceedings of the 18th international conference on Software engineering
Software metrics (2nd ed.): a rigorous and practical approach
Software metrics (2nd ed.): a rigorous and practical approach
Measuring the readability and maintainability of hyperdocuments
Journal of Software Maintenance: Research and Practice
An Experiment to Assess the Cost-Benefits of Code Inspections in Large Scale Software Development
IEEE Transactions on Software Engineering
Estimating Software Project Effort Using Analogies
IEEE Transactions on Software Engineering
A Controlled Experiment to Assess the Benefits of Estimating with Analogy and Regression Models
IEEE Transactions on Software Engineering
Hypermedia and the Web: An Engineering Approach
Hypermedia and the Web: An Engineering Approach
Software Engineering Economics
Software Engineering Economics
Capability Maturity Model, Version 1.1
IEEE Software
Status Report on Software Measurement
IEEE Software
Measurement and Effort Prediction for Web Applications
Web Engineering, Software Engineering and Web Application Development
Metric Selection for Effort Assessment in Multimedia Systems Development
METRICS '98 Proceedings of the 5th International Symposium on Software Metrics
METRICS '99 Proceedings of the 6th International Symposium on Software Metrics
An Investigation of Analysis Techniques for Software Datasets
METRICS '99 Proceedings of the 6th International Symposium on Software Metrics
IWPC '99 Proceedings of the 7th International Workshop on Program Comprehension
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Software practitioners recognise the importance of realistic estimates of effort to the successful management of software projects, the Web being no exception. Having realistic estimates at an early stage in a project's life cycle allow project managers and development organisations to manage resources effectively.Prediction is a necessary part of an effective process, be it authoring, design, testing, or Web development as a whole.The first part of this paper describes a case study evaluation (CSE) where we measured characteristics of Web applications and the effort involved in designing and authoring those applications. The second half presents two prediction models generated using statistical techniques, namely linear regression and stepwise multiple regression. The prediction power of the models employed is then compared using boxplots of the residuals. Results suggest that stepwise regression gives better predictions than linear regression.