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2) 85.0% of the bounty hunters addressed less than 3 bounty issues. Corporate backers tend to propose larger bounties and propose bounties more frequently than individual backers. Both individual and corporate backers prefer to support implementing new features rather than fixing bugs. We find that: 1) Overall, the value of a bounty is small (median bounty value of $20). In this study, we investigate 2,955 bounty backers and 882 bounty hunters, and their associated 3,579 GitHub issue reports with 5,589 bounties that were proposed on Bountysource. With a better understanding of how they address bounty issues, stakeholders (e.g., operators and developers) of open source projects may have a reasonable estimation of what they can expect from backers and hunters. We wish to study the process of bounty issue addressing from the angle of two important roles (i.e., backers and hunters) and their related behaviors. There are two types of core roles who are involved in this process: bounty backers, who propose bounties for an issue report via bounty platforms (e.g., Bountysource), and bounty hunters, who address the bounty issues and win the bounties. To facilitate the issue addressing process, monetary incentives (e.g., bounties) are used to attract developers to address issues. However, in practice, not all issues can be addressed on time.
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Issue addressing is a vital task in the evolution of software projects. Through an exploratory data analysis we found that projects are staffed by a plurality of enterprise insiders, who appear to be pulling more than their weight, and that in a small percentage of relatively large projects development happens exclusively through enterprise insiders.
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A manual evaluation of a dataset sample shows an identification accuracy of 89%. We provide these as a dataset detailing their provenance and properties.
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Based on the premise that an enterprise's employees are likely to contribute to a project developed by their organization using the email account provided by it, we mine domain names associated with enterprises from open data sources as well as through white- and blacklisting, and use them through three heuristics to identify 17 264 enterprise GitHub projects. This can be used to address known generalizability concerns, and, also, to perform research on open source business software development. We present a dataset of open source software developed mainly by enterprises rather than volunteers.
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Through its widespread adoption, oss is affecting the software industry, science, engineering, research, teaching, the developing countries, and the society at large through its ability to democratize technology and innovation. The numerous oss licenses mainly differ on how they treat derived software: some contain provisions that maintain its availability in open source form while others allow more flexibility. Nowadays many business models rely on oss as a product through the provision of associated services, or in coexistence with proprietary software, hardware, services, or licensing. The motivation behind individuals participating in oss projects can be, among others, social, ideological, hedonistic, or signaling, while companies gain from their access to high-quality, innovative projects and an increase in their reputation and visibility.
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Behind a successful oss project lies a community of actors, ranging from core developers to passive users, held together by a flexible governance structure and membership, leadership and contribution policies that align their interests. oss applications cover most areas of consumer and business software and their study touches many disciplines, including computer science, information systems, economics, psychology, and law.
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Open source software (oss), the origins of which can be traced back to the 1950s, is software distributed with a license that allows access to its source code, free redistribution, the creation of derived works, and unrestricted use.