FLOSSmole: A collaborative repository for FLOSS research data and analyses

James Howison; Megan Conklin; Kevin Crowston

doi:10.4018/978-1-60566-418-7.ch002

FLOSSmole: A collaborative repository for FLOSS research data and analyses

James Howison, Megan Conklin, Kevin Crowston

School of Information Studies

Research output: Chapter in Book/Entry/Poem › Chapter

6 Scopus citations

Abstract

This paper introduces and expands on previous work on a collaborative project, called FLOSSmole (formerly OSSmole), designed to gather, share and store comparable data and analyses of free, libre, and open source software (FLOSS) development for academic research. The project draws on the ongoing collection and analysis efforts of many research groups, reducing duplication, and promoting compatibility both across sources of FLOSS data and across research groups and analyses. The paper outlines current difficulties with the current typical quantitative FLOSS research process and uses these to develop requirements and presents the design of the system.

Original language	English (US)
Title of host publication	Integrated Approaches in Information Technology and Web Engineering
Subtitle of host publication	Advancing Organizational Knowledge Sharing
Publisher	IGI Global
Pages	18-27
Number of pages	10
ISBN (Print)	9781605664187
DOIs	https://doi.org/10.4018/978-1-60566-418-7.ch002
State	Published - 2008

ASJC Scopus subject areas

General Computer Science

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10.4018/978-1-60566-418-7.ch002

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title = "FLOSSmole: A collaborative repository for FLOSS research data and analyses",

abstract = "This paper introduces and expands on previous work on a collaborative project, called FLOSSmole (formerly OSSmole), designed to gather, share and store comparable data and analyses of free, libre, and open source software (FLOSS) development for academic research. The project draws on the ongoing collection and analysis efforts of many research groups, reducing duplication, and promoting compatibility both across sources of FLOSS data and across research groups and analyses. The paper outlines current difficulties with the current typical quantitative FLOSS research process and uses these to develop requirements and presents the design of the system.",

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AU - Howison, James

AU - Conklin, Megan

AU - Crowston, Kevin

PY - 2008

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AB - This paper introduces and expands on previous work on a collaborative project, called FLOSSmole (formerly OSSmole), designed to gather, share and store comparable data and analyses of free, libre, and open source software (FLOSS) development for academic research. The project draws on the ongoing collection and analysis efforts of many research groups, reducing duplication, and promoting compatibility both across sources of FLOSS data and across research groups and analyses. The paper outlines current difficulties with the current typical quantitative FLOSS research process and uses these to develop requirements and presents the design of the system.

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SP - 18

EP - 27

BT - Integrated Approaches in Information Technology and Web Engineering

PB - IGI Global

ER -

FLOSSmole: A collaborative repository for FLOSS research data and analyses

Abstract

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