Software complexity: measures and methods
Software complexity: measures and methods
Object-oriented software metrics: a practical guide
Object-oriented software metrics: a practical guide
A field study of scale economies in software maintenance
Management Science - Special issue: Frontier research on information systems and economics
Effort estimation and prediction of object-oriented systems
Journal of Systems and Software
Improving Size Estimates Using Historical Data
IEEE Software
Empirically Guided Software Effort Guesstimation
IEEE Software
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
Identifying poorly documented object oriented software components
International Journal of Hybrid Intelligent Systems
An automated procedure for identifying poorly documented object oriented software components
C3S2E '09 Proceedings of the 2nd Canadian Conference on Computer Science and Software Engineering
Improving Web Service descriptions for effective service discovery
Science of Computer Programming
Journal of Web Engineering
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In this paper, we identify a set of factors that may be used to forecast source code documentation for object oriented software components. Using field data on 152 object oriented (OO) software components and the multiple regression model, we empirically test the impact of proposed factors on the prediction of OO source code documentation. Our results indicate that the number of methods, the number of sub-classes, the number of GUI elements and the number of events handled all increase the number of lines of code for OO source code documentation. Additionally, we show that scale economies exist in OO source code documentation and use non-linear regression model Classification and Regression Tree (CART) to improve OO source code documentation forecasting accuracy.