Volume 9 Issue 3 - January 2018

  • 1. An empirical study on regression analysis to predict software effort based on use case points

    Authors : M Pramod Kumar

    Pages : 155-159

    DOI : http://dx.doi.org/10.21172/1.93.26

    Keywords : Regression Analysis, Software Effort

    Abstract :

    The effort estimation of software development is a process of predicting the mostrealistic effort (person-hours) required to maintain and development of software. This paperaims to provide best regression technique among linear regression, multilinear regression,exponential regression, and power regression to predict software effort using use case points.The main contribution of this study is a comparative analysis of different regression techniques.To validate the accuracy of regression techniques we have used R2 value, MMRE, and TSS. Fromthis study we observed that linear regression, exponential regression, and power regressionproduced same results with some variance over multilinear regression.

    Citing this Journal Article :

    M Pramod Kumar, "An empirical study on regression analysis to predict software effort based on use case points", https://www.ijltet.org/journal_details.php?id=926&j_id=4304, Volume 9 Issue 3 - January 2018, 155-159, #ijltetorg