DocumentCode :
2549232
Title :
Model building methodologies utilizing Artificial Neural Network (ANN) for performance of project planning, implementation and controlling processes
Author :
Gandapur, Muhammad Salim Javed ; Mahmood, Ahmed Kamil Bin ; Sulaiman, Suziah B.
Author_Institution :
Comput. & Inf. Sci. Dept., Univ. Teknol. PETRONAS, Tronoh, Malaysia
fYear :
2010
fDate :
16-18 April 2010
Firstpage :
439
Lastpage :
443
Abstract :
Model building methodologies are playing an increasingly significant role in many aspects of software engineering activities. Today models are being applied right from requirement conceptualization to the final software installation and maintenance. Traditional methodologies however, fail to cope with increasing complexity and rapidly evolving nature of the software. The need for an efficient model building methodology is quite manifest today. The main objective of this study is to propose and implement a novel Model Building Methodology utilizing Artificial Neural Network (ANN). In order to achieve this objective, information related to regression analysis was reviewed.
Keywords :
neural nets; planning; project management; regression analysis; software maintenance; software management; ANN; artificial neural network; model building methodology; project planning; regression analysis; requirement conceptualization; software engineering activities; software installation; software maintenance; Artificial neural networks; Inventory management; Investments; Predictive models; Process control; Process planning; Productivity; Profitability; Project management; Resource management; Artificial Neural Network (ANN); Multiple Regression Method; Prognostic Model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
Type :
conf
DOI :
10.1109/ICIME.2010.5477865
Filename :
5477865
Link To Document :
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