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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 33-46 |
| Number of pages | 14 |
| Journal | Computer Systems Science and Engineering |
| Volume | 34 |
| Issue number | 1 |
| State | Published - Jan 2019 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Theoretical Computer Science
- Computer Science(all)
Keywords
- Cobb-douglas
- Entropy
- Feature improvement
- New feature
- Open Source Software
- Release time problem
- Software repositories