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Towards Using Package Centrality Trend to Identify Packages in Decline


Abstract: Due to its increasing complexity, today's software systems are frequently built by leveraging reusable code in the form of libraries and packages. Software ecosystems (e.g., npm) are the primary enablers of this code reuse, providing developers with a platform to share their own and use others' code. These ecosystems evolve rapidly: developers add new packages every day to solve new problems or provide alternative solutions, causing obsolete packages to decline in their importance to the community. Developers should avoid depending on packages in decline, as these packages are reused less over time and may become less frequently maintained. However, current popularity metrics are not fit to provide this information to developers. In this paper, we propose a scalable approach that uses the package's centrality in the ecosystem to identify packages in decline. We evaluate our approach with the npm ecosystem and show that the trends of centrality overtime can correctly distinguish packages in decline with an ROC-AUC of 0.9. The approach can capture 87% of the packages in decline, on average 18 months before the trend is shown in currently used package popularity metrics. We implement this approach in a tool that can be used to augment npms metrics and help developers avoid packages in decline when reusing packages from npm.


SOEN 691E: Software Re-engineering

Teaching Assistant, Concordia University, Department of Computer Science and Software Engineering, 2018

A large portion of the course deliverables is a course research project. Students are expected to work on the course project in groups.

SOEN 490: Capstone Software Engineering Design Project

Teaching Assistant, Concordia University, Department of Computer Science and Software Engineering, 2020

Students are assigned to groups, and work together under faculty supervision to solve a complex interdisciplinary design problem.