DocumentCode :
2700090
Title :
Predicting maintenance effort with function points
Author :
Niessink, Frank ; Van Vliet, Hans
fYear :
1997
fDate :
1-3 Oct. 1997
Firstpage :
32
Lastpage :
39
Abstract :
Function point analysis (FPA) is a well-known method to measure the functionality of a system, from the user´s point of view. Both Albrecht´s (1979) original model and a local variant we studied assume that effort is primarily related to the size of a change. Analysis of data gathered on a major system over a period of 18 months does not confirm this relation. Rather our data suggests that the size of the component to be changed has a much larger impact on effort than the size of the change itself. Furthermore, the various corrective factors of the function point model do not help to improve effort estimates in the environment we studied. Finally, we found that expert estimates outperform the function point estimates, while analogy-based estimates slightly outperform the expert estimates
Keywords :
software cost estimation; software maintenance; software metrics; analogy-based estimates; corrective factors; data analysis; function point analysis; size; software component; software maintenance effort prediction; system functionality; user view point;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Maintenance, 1997. Proceedings., International Conference on
Conference_Location :
Bari, Italy
ISSN :
1063-6773
Print_ISBN :
0-8186-8013-X
Type :
conf
DOI :
10.1109/ICSM.1997.624228
Filename :
5726932
Link To Document :
بازگشت