James Howison

Free/Libre open-source software development: What we know and what we do not know

We review the empirical research on Free/Libre and Open-Source Software (FLOSS) development and assess the state of the literature. We develop a framework for organizing the literature based on the input-mediator-output-input (IMOI) model from the small groups literature. We present a quantitative summary of articles selected for the review and then discuss findings of this literature categorized into issues pertaining to inputs (e.g., member characteristics, technology use, and project characteristics), processes (software development practices, social processes, and firm involvement practices), emergent states (e.g., social states and task-related states), and outputs (e.g. team performance, FLOSS implementation, and project evolution). Based on this review, we suggest topics for future research, as well as identify methodological and theoretical issues for future inquiry in this area, including issues relating to sampling and the need for more longitudinal studies.

Guest Editors' Introduction: Wireless Grids--Distributed Resource Sharing by Mobile, Nomadic, and Fixed Devices

Wireless grids, a new type of resource-sharing network, connect sensors, mobile phones, and other edge devices with each other and with wired grids. Ad hoc distributed resource sharing allows these devices to offer new resources and locations of use for grid computing. This article places wireless grids in context, explains their basic requirements, and provides an example implementation that uses a wireless grid for distributed audio recording. Finally, it introduces articles in this special issue on wireless grid architectures and applications.

Effective work practices for software engineering: free/libre open source software development

We review the literature on Free/Libre Open Source Software (FLOSS) development and on software development, distributed work and teams more generally to develop a theoretical model to explain the performance of FLOSS teams. The proposed model is based on Hackmans [34] model of effectiveness of work teams, with coordination theory [52] and collective mind [79] to extend Hackmans model by elaborating team practices relevant to effectiveness in software development. We propose a set of propositions to guide further research.

Social dynamics of free and open source team communications

This paper furthers inquiry into the social structure of free and open source software (FLOSS) teams by undertaking social network analysis across time. Contrary to expectations, we confirmed earlier findings of a wide distribution of centralizations even when examining the networks over time. The paper also provides empirical evidence that while change at the center of FLOSS projects is relatively uncommon, participation across the project communities is highly skewed, with many participants appearing for only one period. Surprisingly, large project teams are not more likely to undergo change at their centers.

Scientific software production: incentives and collaboration

Software plays an increasingly critical role in science, including data analysis, simulations, and managing workflows. Unlike other technologies supporting science, software can be copied and distributed at essentially no cost, potentially opening the door to unprecedented levels of sharing and collaborative innovation. Yet we do not have a clear picture of how software development for science fits into the day-to-day practice of science, or how well the methods and incentives of its production facilitate realization of this potential. We report the results of a multiple-case study of software development in three fields: high energy physics, structural biology, and microbiology. In each case, we identify a typical publication, and use qualitative methods to explore the production of the software used in the science represented by the publication. We identify several different production systems, characterized primarily by differences in incentive structures. We identify ways in which incentives are matched and mismatched with the needs of the science fields, especially with respect to collaboration.

Assessing the health of open source communities

Before contributing to a free or open source software project, understand the developers, leaders, and active users behind it. The computing world lauds many Free/Libre and open source software offerings for both their reliability and features. Successful projects such as the Apache httpd Web server and Linux operating system kernel have made FLOSS a viable option for many commercial organizations. While FLOSS code is easy to access, understanding the communities that build and support the software can be difficult. Despite accusations from threatened proprietary vendors, few continue to believe that open source programmers are all amateur teenaged hackers working alone in their bedrooms. But neither are they all part of robust, well-known communities like those behind Apache and Linux.

Collaboration through open superposition: a theory of the open source way

This paper develops and illustrates the theory of collaboration through open superposition: the process of depositing motivationally independent layers of work on top of each other over time. The theory is developed in a study of community-based free and open source software (FLOSS) development, through a research arc of discovery (participant observation), replication (two archival case studies), and theorization. The theory explains two key findings: (1) the overwhelming majority of work is accomplished with only a single programmer working on any one task, and (2) tasks that appear too large for any one individual are more likely to be deferred until they are easier rather than being undertaken through structured team work. Moreover, the theory explains how working through open superposition can lead to the discovery of a work breakdown that results in complex, functionally interdependent, work being accomplished without crippling search costs. We identify a set of socio-technical contingencies under which collaboration through open superposition is likely to be effective, including characteristics of artifacts made from information as the objects being worked on. We demonstrate the usefulness of the theory by using it to analyze difficulties in learning from FLOSS in other domains of work and in the IS function of for-profit organizations.

The Role of Face-to-Face Meetings in Technology-Supported Self-Organizing Distributed Teams

We examine the role of face-to-face meetings in the context of technology-supported self-organizing distributed (or virtual teams), specifically free/libre open source software (FLOSS) development teams. Based on a qualitative inductive analysis of data from interviews and observations at FLOSS conferences, we identify a variety of settings in which developers meet face-to-face, and we point out the activities performed in these settings and the benefits obtained. Contrary to conventional wisdom about distributed teams, FLOSS developers generally do not meet face-to-face until the project is well under way. An additional benefit of face-to-face meetings is time away from a regular job and speed of interaction for certain kinds of tasks.

Effective Work Practices for FLOSS Development: A Model and Propositions

We review the literature on Free/Libre Open Source Software (FLOSS) development and on software development, distributed work and teams more generally to develop a theoretical model to explain the performance of FLOSS teams. The proposed model is based on Hackmans model of effectiveness of work teams, with coordination theory and collective mind to extend Hackmans model by elaborating team practices relevant to effectiveness in software development. We propose a set of propositions to guide further research.

Collaboration using OSSmole: a repository of FLOSS data and analyses

This paper introduces a collaborative project OSSmole which collects, shares, and stores comparable data and analyses of free, libre and open source software (FLOSS) development for research purposes. The project is a clearinghouse for data from the ongoing collection and analysis efforts of many disparate research groups. A collaborative data repository reduces duplication and promote compatibility both across sources of FLOSS data and across research groups and analyses. The primary objective of OSSmole is to mine FLOSS source code repositories and provide the resulting data and summary analyses as open source products. However, the OSSmole data model additionally supports donated raw and summary data from a variety of open source researchers and other software repositories. The paper first outlines current difficulties with the typical quantitative FLOSS research process and uses these to develop requirements for such a collaborative data repository. Finally, the design of the OSSmole system is presented, as well as examples of current research and analyses using OSSmole.