Onboarding vs. Diversity, Productivity, and Quality -- Empirical Study of the OpenStack Ecosystem.
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| Title: | Onboarding vs. Diversity, Productivity, and Quality -- Empirical Study of the OpenStack Ecosystem. |
|---|---|
| Authors: | Foundjem, Armstrong1 a.foundjem@queensu.ca, Eghan, Ellis E.2 ellis.eghan@polymtl.ca, Adams, Bram1 bram.adams@queensu.ca |
| Source: | ICSE: International Conference on Software Engineering. 5/22/2021, p1033-1045. 13p. |
| Subjects: | Software ecosystems, Computer software quality control, Software engineers, Computer software development, Artificial intelligence |
| Abstract: | Despite the growing success of open-source software ecosystems (SECOs), their sustainability depends on the recruitment and involvement of ever-larger contributors. As such, onboarding, i.e., the socio-technical adaptation of new contributors to a SECO, forms a significant aspect of a SECO's growth that requires substantial resources. Unfortunately, despite theoretical models and initial user studies to examine the potential benefits of onboarding, little is known about the process of SECO onboarding, nor about the socio-technical benefits and drawbacks of contributors' onboarding experience in a SECO. To address these, we first carry out an observational study of 72 new contributors during an OpenStack onboarding event to provide a catalog of teaching content, teaching strategies, onboarding challenges, and expected benefits. Next, we empirically validate the extent to which diversity, productivity, and quality benefits are achieved by mining code changes, reviews, and contributors' issues with(out) OpenStack onboarding experience. Among other findings, our study shows a significant correlation with increasing gender diversity (65% for both females and non-binary contributors) and patch acceptance rates (13.5%). Onboarding also has a significant negative correlation with the time until a contributor's first commit and bug-proneness of contributions. [ABSTRACT FROM AUTHOR] |
| Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Items | – Name: Title Label: Title Group: Ti Data: Onboarding vs. Diversity, Productivity, and Quality -- Empirical Study of the OpenStack Ecosystem. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Foundjem%2C+Armstrong%22">Foundjem, Armstrong</searchLink><relatesTo>1</relatesTo><i> a.foundjem@queensu.ca</i><br /><searchLink fieldCode="AR" term="%22Eghan%2C+Ellis+E%2E%22">Eghan, Ellis E.</searchLink><relatesTo>2</relatesTo><i> ellis.eghan@polymtl.ca</i><br /><searchLink fieldCode="AR" term="%22Adams%2C+Bram%22">Adams, Bram</searchLink><relatesTo>1</relatesTo><i> bram.adams@queensu.ca</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22ICSE%3A+International+Conference+on+Software+Engineering%22">ICSE: International Conference on Software Engineering</searchLink>. 5/22/2021, p1033-1045. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Software+ecosystems%22">Software ecosystems</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+quality+control%22">Computer software quality control</searchLink><br /><searchLink fieldCode="DE" term="%22Software+engineers%22">Software engineers</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+development%22">Computer software development</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Despite the growing success of open-source software ecosystems (SECOs), their sustainability depends on the recruitment and involvement of ever-larger contributors. As such, onboarding, i.e., the socio-technical adaptation of new contributors to a SECO, forms a significant aspect of a SECO's growth that requires substantial resources. Unfortunately, despite theoretical models and initial user studies to examine the potential benefits of onboarding, little is known about the process of SECO onboarding, nor about the socio-technical benefits and drawbacks of contributors' onboarding experience in a SECO. To address these, we first carry out an observational study of 72 new contributors during an OpenStack onboarding event to provide a catalog of teaching content, teaching strategies, onboarding challenges, and expected benefits. Next, we empirically validate the extent to which diversity, productivity, and quality benefits are achieved by mining code changes, reviews, and contributors' issues with(out) OpenStack onboarding experience. Among other findings, our study shows a significant correlation with increasing gender diversity (65% for both females and non-binary contributors) and patch acceptance rates (13.5%). Onboarding also has a significant negative correlation with the time until a contributor's first commit and bug-proneness of contributions. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/ICSE43902.2021.00097 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1033 Subjects: – SubjectFull: Software ecosystems Type: general – SubjectFull: Computer software quality control Type: general – SubjectFull: Software engineers Type: general – SubjectFull: Computer software development Type: general – SubjectFull: Artificial intelligence Type: general Titles: – TitleFull: Onboarding vs. Diversity, Productivity, and Quality -- Empirical Study of the OpenStack Ecosystem. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Foundjem, Armstrong – PersonEntity: Name: NameFull: Eghan, Ellis E. – PersonEntity: Name: NameFull: Adams, Bram IsPartOfRelationships: – BibEntity: Dates: – D: 22 M: 05 Text: 5/22/2021 Type: published Y: 2021 Titles: – TitleFull: ICSE: International Conference on Software Engineering Type: main |
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