DocumentCode :
2291967
Title :
Neural network based software effort estimation & evaluation criterion MMRE
Author :
Dave, Vachik S. ; Dutta, Kamlesh
Author_Institution :
Comput. Sci. & Eng. Dept., Nat. Inst. of Technol. (NIT), Hamirpur, India
fYear :
2011
fDate :
15-17 Sept. 2011
Firstpage :
347
Lastpage :
351
Abstract :
Evaluation of any prediction model is the most important part for comparison. Mean Magnitude Relative Error (MMRE) is one of the traditional evaluation criterion. In this paper we demonstrate the application of MMRE for model for predicting software development effort estimation and show that MMRE is not a suitable evaluation criterion for the software development estimation models. The argument is supported by series of simulations. In this paper we also suggest changes needed in MMRE calculations and propose Modified MMRE algorithm for the effort estimation evaluation criterion.
Keywords :
neural nets; software development management; MMRE algorithm; MMRE calculation; evaluation criterion MMRE; mean magnitude relative error; neural network; prediction model; software development effort estimation; software development estimation model; Computational modeling; Equations; Estimation; Mathematical model; Predictive models; Programming; Software; Evaluation of prediction model; MMRE; Software development Effort Estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Communication Technology (ICCCT), 2011 2nd International Conference on
Conference_Location :
Allahabad
Print_ISBN :
978-1-4577-1385-9
Type :
conf
DOI :
10.1109/ICCCT.2011.6075192
Filename :
6075192
Link To Document :
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