OSS PESTO: An Open Source Software Project Evaluation and Selection TOol
Xiaozhou Li, Sergio Moreschini

TL;DR
OSS PESTO is an open source tool designed to evaluate and compare GitHub projects using customizable models, aiming to improve practical OSS selection with real-time data and user-friendly features.
Contribution
It introduces a practical evaluation tool that integrates real-time GitHub data and customizable models, filling the gap between research and industry application.
Findings
Supports comparison of OSS projects on GitHub
Enables real-time data collection for evaluation
Provides customizable evaluation frameworks
Abstract
Open source software (OSS), playing an increasingly critical role nowadays, has been commonly adopted and integrated in various software products. For many practitioners, selecting and adopting suitable OSS can help them greatly. Though many studies have been conducted on proposing OSS evaluation and selection models, a limited number are followed and used in the industry. Meanwhile, many existing OSS evaluation tools, though providing valuable details, fall short on offering intuitive suggestions in terms of framework-supported evaluation factors. Towards filling the gap, we propose an Open Source Software Project Evaluation and Selection TOol (OSS PESTO). Targeting OSS on Github, the largest OSS source code host, it facilitates the evaluation practice by enabling practitioners to compare candidates therein in terms of selected OSS evaluation models. It also allows in-time Github data…
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Taxonomy
TopicsSoftware Engineering Research · Open Source Software Innovations · Mobile Crowdsensing and Crowdsourcing
