Studying the association between Gitcoin's issues and resolving outcomes
Morakot Choetkiertikul, Arada Puengmongkolchaikit, Pandaree Chandra,, Chaiyong Ragkitwetsakul, Rungroj Maipradit, Hideaki Hata, Thanwadee, Sunetnanta, Kenichi Matsumoto

TL;DR
This study analyzes over 4,000 Gitcoin bounty issues to understand factors influencing their success, highlighting key variables like project length, issue description, and bounty value, using statistical and machine learning methods.
Contribution
It provides the first empirical analysis of Gitcoin bounty outcomes and compares them with Bountysource, revealing key factors affecting bounty success.
Findings
Longer projects tend to have higher success rates.
Issue description quality correlates with outcomes.
Bounty value significantly impacts issue resolution.
Abstract
The development of open-source software (OSS) projects usually have been driven through collaborations among contributors and strongly relies on volunteering. Thus, allocating software practitioners (e.g., contributors) to a particular task is non-trivial and draws attention away from the development. Therefore, a number of bug bounty platforms have emerged to address this problem through bounty rewards. Especially, Gitcoin, a new bounty platform, introduces a bounty reward mechanism that allows individual issue owners (backers) to define a reward value using cryptocurrencies rather than using crowdfunding mechanisms. Although a number of studies have investigated the phenomenon on bounty platforms, those rely on different bounty reward systems. Our study thus investigates the association between the Gitcoin bounties and their outcomes (i.e., success and non-success). We empirically…
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Taxonomy
TopicsOpen Source Software Innovations · FinTech, Crowdfunding, Digital Finance · Software Engineering Research
