DocumentCode :
250174
Title :
A Neural Network Based Algorithms for Project Duration Prediction
Author :
Wanjiang Han ; Heyang Jiang ; Xiaoyan Zhang ; Weijian Li
Author_Institution :
Sch. of Software Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2014
fDate :
20-23 Dec. 2014
Firstpage :
60
Lastpage :
63
Abstract :
Prediction of software development effort and duration is the key task for the effective Software Project Management (SPM). The accuracy and reliability of prediction mechanisms is also important. In this paper, we used several machine learning algorithms to predict the software duration. Experiment results show this kinds of algorithms is effective.
Keywords :
learning (artificial intelligence); neural nets; project management; software development management; SPM; machine learning algorithms; neural network based algorithm; project duration prediction; software development duration prediction; software development effort prediction; software project management; Gaussian processes; Machine learning algorithms; Prediction algorithms; Predictive models; Software; Software algorithms; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation (CA), 2014 7th Conference on
Conference_Location :
Haikou
Print_ISBN :
978-1-4799-8205-9
Type :
conf
DOI :
10.1109/CA.2014.21
Filename :
7026262
Link To Document :
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