An automated procedure for identifying poorly documented object oriented software components

Authors:
Parag C. Pendharkar
Affiliations:
Penn State Harrisburg, Middletown, PA
Venue:
C3S2E '09 Proceedings of the 2nd Canadian Conference on Computer Science and Software Engineering
Year:
2009

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Abstract

In this paper, I present a procedure for automating the identification of object oriented software components that may be poorly documented. The proposed procedure uses artificial neural network to learn and estimate the software size and the source code documentation size. The differences in the estimates for software size and actual size, and the estimates for source code documentation size and actual documentation size are used to identify software components that may be poorly documented.