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