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