Deepika
Department of Operational Research, University of Delhi, Delhi, India.

Ompal Singh
Department of Operational Research, University of Delhi, Delhi, India.

Adarsh Anand
Department of Operational Research, University of Delhi, Delhi, India.

Jagvinder Singh
University School of Management and Entrepreneurship, Delhi Technological University, Delhi, India.

DOI https://doi.org/10.33889/IJMEMS.2021.6.1.013

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Abstract

Today, so as to meet the user's requirement, modification of software is necessarily required. But at the same time, to incorporate these modifications and requirements there are enormous changes which are made to the coding of the software and over a period of time these changes make the software complex. Largely there are three types of code changes occur in the source code namely, bug repair, feature enhancement & addition of new features, but these changes bring the uncertainty in the bug removal rate. In this paper, these uncertainties have been explicitly modeled and using three-dimensional wiener processes that define the three types of fluctuation; we have come up with an entropy prediction modeling framework with a unified approach. The analytical solution of the equation is interpreted using Itô’s process. The models are fitted on three real life projects namely Avro, Hive and Pig of Apache open source software (OSS) The experimental findings show that present models exhibit accurate estimation results and have strong prediction skills.

Keywords- Complexity of code changes (CCC), Differential equation (DE), Distribution, Entropy, Fluctuations, Open source software (OSS), Unification.

Citation

Deepika,Singh, O., Anand, A., & Singh, J. (2021). SDE based Unified Scheme for Developing Entropy Prediction Models for OSS. International Journal of Mathematical, Engineering and Management Sciences, 6(1), 207-222. https://doi.org/10.33889/IJMEMS.2021.6.1.013.