TY - GEN
T1 - An automated procedure for identifying poorly documented object oriented software components
AU - Pendharkar, Parag C.
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=70350700731&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70350700731&partnerID=8YFLogxK
U2 - 10.1145/1557626.1557661
DO - 10.1145/1557626.1557661
M3 - Conference contribution
AN - SCOPUS:70350700731
SN - 9781605584010
T3 - ACM International Conference Proceeding Series
SP - 217
EP - 222
BT - Proceedings of the 2009 C3S2E Conference, C3S2E '09
T2 - 2009 Canadian Conference on Computer Science and Software Engineering, C3S2E '09
Y2 - 19 May 2009 through 21 May 2009
ER -