Towards the prediction of development effort for hypermedia applications
Proceedings of the 12th ACM conference on Hypertext and Hypermedia
A comparison of case-based reasoning approaches
Proceedings of the 11th international conference on World Wide Web
A Review of Experimental Investigations into Object-Oriented Technology
Empirical Software Engineering
Quality, Productivity, and Learning in Framework-Based Development: An Exploratory Case Study
IEEE Transactions on Software Engineering
Automatic code generation for database-oriented web applications
PPPJ '02/IRE '02 Proceedings of the inaugural conference on the Principles and Practice of programming, 2002 and Proceedings of the second workshop on Intermediate representation engineering for virtual machines, 2002
Software Functionality: A Game Theoretic Analysis
Journal of Management Information Systems
Web hypermedia content management system effort estimation model
ACM SIGSOFT Software Engineering Notes
A neural network approach for web cost estimation
SEA '07 Proceedings of the 11th IASTED International Conference on Software Engineering and Applications
A COSMIC-FFP approach to predict web application development effort
Journal of Web Engineering
Using web objects for development effort estimation of web applications: a replicated study
PROFES'11 Proceedings of the 12th international conference on Product-focused software process improvement
MND-SCEMP: an empirical study of a software cost estimation modeling process in the defense domain
Empirical Software Engineering
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In this paper we explore the variation of the cost of writing code when Object - oriented framework based development of web applications is encountered for the first time. Managers need such information to justify their investments in innovative development strategies. Size measurements are essential in this task and a number of metrics, namely Lines of Code, classical Function Points and Object-Oriented Function Points, are employed. It is argued that lines of code and object-oriented function points are more suitable in this case. Data analysis reveals that learning influences mainly the cost of writing new code, consisting of continuous calls to components provided by the framework. We also explore the applicability of an already proposed effort prediction model that is based on different reuse types. A cost estimation model is the by-product of this study, providing a helpful tool for managing the first projects in which the framework is employed.