The Metrics to Evaluate the Health Status of OSS Projects Based on Factor Analysis

Jiang, S; Cao, J; Prasad, M

The Metrics to Evaluate the Health Status of OSS Projects Based on Factor Analysis

Jiang, S Cao, J Prasad, M

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Publisher:: Springer Singapore
Publication Type:: Conference Proceeding
Citation:: Communications in Computer and Information Science, 2019, 1042 CCIS, pp. 723-737
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Jiang, S
dc.contributor.author	Cao, J
dc.contributor.author	Prasad, M https://orcid.org/0000-0001-9719-2253
dc.date.accessioned	2020-06-20T23:18:46Z
dc.date.available	2020-06-20T23:18:46Z
dc.date.issued	2019-01-01
dc.identifier.citation	Communications in Computer and Information Science, 2019, 1042 CCIS, pp. 723-737
dc.identifier.isbn	9789811513763
dc.identifier.issn	1865-0929
dc.identifier.issn	1865-0937
dc.identifier.uri	http://hdl.handle.net/10453/141590
dc.description.abstract	© 2019, Springer Nature Singapore Pte Ltd. As open-source software (OSS) development is becoming a trend, an increasing number of businesses and developers are joining OSS projects. For project managers, developers and users, understanding the current health status of a project is very important to manage a development process, select the open-source projects to development or to adopt the software packages developed by projects. Therefore, an efficient approach to evaluate the health status of the open-source project is needed. Unfortunately, although many approaches including metrics have been proposed, they are designed in arbitrary ways. In this paper, a math ematical tool, i.e., factor analysis, is used to build a health evaluation model for OSS projects. As far as we know, this is the first time that factor analysis has been applied to evaluate OSS projects. This model is based on GitHub data and uses the basic indexes that are closely related to the health status of the projects as the input. Then, six new synthetic metrics, namely community activity, project popularity, development activity, completeness, responsiveness and persistence are obtained through factor analysis, which can be used to calculate the overall health score of a project. Moreover, in order to verify the effectiveness of this model, it is applied to some real projects and the results show that the overall scores achieved by this model can reflect the health status of the projects.
dc.language	en
dc.publisher	Springer Singapore
dc.relation.ispartof	Communications in Computer and Information Science
dc.relation.isbasedon	10.1007/978-981-15-1377-0_56
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	The Metrics to Evaluate the Health Status of OSS Projects Based on Factor Analysis
dc.type	Conference Proceeding
utslib.citation.volume	1042 CCIS
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-06-20T23:18:43Z
pubs.publication-status	Published
pubs.volume	1042 CCIS

Abstract:

© 2019, Springer Nature Singapore Pte Ltd. As open-source software (OSS) development is becoming a trend, an increasing number of businesses and developers are joining OSS projects. For project managers, developers and users, understanding the current health status of a project is very important to manage a development process, select the open-source projects to development or to adopt the software packages developed by projects. Therefore, an efficient approach to evaluate the health status of the open-source project is needed. Unfortunately, although many approaches including metrics have been proposed, they are designed in arbitrary ways. In this paper, a math ematical tool, i.e., factor analysis, is used to build a health evaluation model for OSS projects. As far as we know, this is the first time that factor analysis has been applied to evaluate OSS projects. This model is based on GitHub data and uses the basic indexes that are closely related to the health status of the projects as the input. Then, six new synthetic metrics, namely community activity, project popularity, development activity, completeness, responsiveness and persistence are obtained through factor analysis, which can be used to calculate the overall health score of a project. Moreover, in order to verify the effectiveness of this model, it is applied to some real projects and the results show that the overall scores achieved by this model can reflect the health status of the projects.

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http://hdl.handle.net/10453/141590