DocumentCode :
1786210
Title :
The Effect of Highlighting Error Categories in FSM Training on the Accuracy of Measurement
Author :
Ertugrul, Ali Mert ; Yilmaz, Gurkan ; Salmanoglu, Murat ; Demirors, Onur
fYear :
2014
fDate :
6-8 Oct. 2014
Firstpage :
152
Lastpage :
156
Abstract :
As various software management activities including cost estimation and project control are conducted based on the software size measurement, achieving high accuracy in functional size measurement (FSM) is critical. Several studies examined the relation between FSM training and improvement in the accuracy of FSM. However, those studies propose comprehensive frameworks and approaches that require fundamental changes in the training content. In this study, we analyzed the effect of highlighting error categories during training by extracting the errors throughout four years. We showed that, highlighting the frequent error categories during the same training period without a fundamental change in the content would significantly decrease the error rate. The results of the research we conducted are promising about the improvement of measurement accuracy.
Keywords :
project management; software cost estimation; software management; software metrics; FSM training; error categories; error extraction; functional size measurement; measurement accuracy; project control; software cost estimation; software management activities; software size measurement; Education; Joints; Size measurement; Software; Software measurement; Software reliability; Accuracy; Functional Size Measurement; Highlighting Error Categories;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Measurement and the International Conference on Software Process and Product Measurement (IWSM-MENSURA), 2014 Joint Conference of the International Workshop on
Conference_Location :
Rotterdam
Type :
conf
DOI :
10.1109/IWSM.Mensura.2014.21
Filename :
7000094
Link To Document :
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