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Modeling and Analysis of Leftover Issues and Release Time Planning in Multi-Release Open Source Software Using Entropy Based Measure

Meera Sharma1, H. Pham2, V.B. Singh3
1 Department of Computer Science, University of Delhi, India. E-mail: meerakaushik@gmail.com
2 Department of Industrial and Systems Engineering, Rutgers, the State University of New Jersey
hoang84pham@gmail.com
3 Delhi College of Arts and Commerce, University of Delhi, India. E-mail: vbsingh@dcac.du.ac.in

Computer Systems Science and Engineering 2019, 34(1), 33-46. https://doi.org/10.32604/csse.2019.34.033

Abstract

In Open Source Software (OSS), users report different issues on issues tracking systems. Due to time constraint, it is not possible for developers to resolve all the issues in the current release. The leftover issues which are not addressed in the current release are added in the next release issue content. Fixing of issues result in code changes that can be quantified with a measure known as complexity of code changes or entropy. We have developed a 2-dimensional entropy based mathematical model to determine the leftover issues of different releases of five Apache open source products. A model for release time prediction using entropy is also proposed. This model maximizes the satisfaction level of user’s in terms of number of issues addressed.

Keywords

Open Source Software; Software Repositories; Entropy; Cobb-Douglas; New feature; Feature improvement; Release time problem

Cite This Article

M. Sharma, H. Pham and V. Singh, "Modeling and analysis of leftover issues and release time planning in multi-release open source software using entropy based measure," Computer Systems Science and Engineering, vol. 34, no.1, pp. 33–46, 2019.

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This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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