Magnet or Sticky? Measuring Project Characteristics from the Perspective of Developer Attraction and Retention

Yamashita, Kazuhiro; Kamei, Yasutaka; McIntosh, Shane; Hassan, Ahmed E.; Ubayashi, Naoyasu

doi:10.2197/ipsjjip.24.339

Cited by 19 publications

(7 citation statements)

References 40 publications

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“…For example, we believe we can further strengthen the follow-up network analysis conducted by Yu et al [26]. Yamashita et al [27], [28] classified OSS projects by using metrics of magnet and sticky and identified what projects retain and attract contributors. By matching the information of our framework with these metrics, we may be able to analyze the behavior of contributors in more detail.…”

Section: Discussionmentioning

confidence: 68%

Impact of Cryptocurrency Market Capitalization on Open Source Software Participation

Kobayakawa

Imamura

Nakagawa

et al. 2020

Journal of Information Processing

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Open source software (OSS) has become indispensable to our society. The success of OSS depends on the participation of a large number of developers or maintainers (contributors). Shedding light on the mechanisms of their participation has been an important academic and practical matter. One aspect to decide participation is the future prospects of a project. However, the causal mechanism behind participation has yet to be studied exhaustively and remains unclear. In this study, we used cryptocurrency projects, many of them were developed on GitHub, to better understand this mechanism. Both GitHub and cryptocurrencies are highly transparent, i.e., information is fully disclosed; we can analyze relevant information on a project, such as the contributors' activities, financial information, and development status. We adopted market capitalization as the substitution index of future prospects and the number of contributors and analyzed the relationship using time series analysis techniques, such as the Granger causality test and regression. We found that the number of contributors increases two months after market capitalization increases. This quantifies the impact of the future prospects of the project, i.e., of the market capitalization of a cryptocurrency, on the participation of contributors.

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Section: Discussionmentioning

confidence: 68%

Impact of Cryptocurrency Market Capitalization on Open Source Software Participation

Kobayakawa

Imamura

Nakagawa

et al. 2020

Journal of Information Processing

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“…But Dabbish et al 31 and Yamashita et al 32 observed in their research a positive impact on the team as it may bring fresh ideas and knowledge to them, and also some respondents in the survey conducted in 2019 by/termed it good when oldies dropout as they are resistant to change. Iaffaldano et al 24 urge to find a balance between developer turnover and retention.…”

Section: Related Workmentioning

confidence: 92%

Exploring factors affecting developer abandonment of open source software projects

Kaur

Chahal

2022

J Software Evolu Process

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Open Source Software (OSS) projects have long been studied to understand the need of community support for their growth and survival. However, there has been limited research on developers' abandonment, though it is found to have detrimental effect on quality and sustainability of OSS projects. This paper examines the impact of developer and project-related factors on developer abandonment in OSS projects.Factors include developer attributes: experience, role, coding language, and joining date, and project attributes: change complexity and sentiments in commit logs. The findings are (1) for developer experience, core/non-core member, and joining date; there exists a pattern of developers abandoning the projects. (2) There is no definite answer for coding language. (3) It does not relate to the change profile of a project except a few indicators. Sentiments can also not be linked. These results provide OSS community and researchers with useful insights on developer abandonment and the factors influencing it or not.

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“…The higher the number of contributors to a package repository shows that the package is more likely to attract developers [59].…”

Section: Contributorsmentioning

confidence: 99%

What are the characteristics of highly-selected packages? A case study on the npm ecosystem

Mujahid¹,

Shihab²

2022

Preprint

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With the popularity of software ecosystems, the number of open source components (known as packages) has grown rapidly. Identifying high-quality and well-maintained packages from a large pool of packages to depend on is a basic and important problem, as it is beneficial for various applications, such as package recommendation and package search. However, no systematic and comprehensive work focuses on addressing this problem except in online discussions or informal literature and interviews. To fill this gap, in this paper, we conducted a mixed qualitative and quantitative analysis to understand how developers identify and select relevant open source packages. In particular, we started by surveying 118 JavaScript developers from the npm ecosystem to qualitatively understand the factors that make a package to be highly-selected within the npm ecosystem. The survey results showed that JavaScript developers believe that highly-selected packages are well-documented, receive a high number of stars on GitHub, have a large number of downloads, and do not suffer from vulnerabilities. Then, we conducted an experiment to quantitatively validate the developers' perception of the factors that make a highly-selected package. In this analysis, we collected and mined historical data from 2,527 packages divided into highly-selected and not highly-selected packages. For each package in the dataset, we collected quantitative data to present the factors studied in the developers' survey. Next, we used regression analysis to quantitatively investigate which of the studied factors are the most important. Our regression analysis complements our survey results about highly-selected packages. In particular, the results showed that highly-selected packages tend to be correlated by the number of downloads, stars, and how large the package's readme file is.

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Magnet or Sticky? Measuring Project Characteristics from the Perspective of Developer Attraction and Retention

Cited by 19 publications

References 40 publications

Impact of Cryptocurrency Market Capitalization on Open Source Software Participation

Impact of Cryptocurrency Market Capitalization on Open Source Software Participation

Exploring factors affecting developer abandonment of open source software projects

What are the characteristics of highly-selected packages? A case study on the npm ecosystem

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