Self-organization of teams for free/libre open source software development

Crowston, Kevin; Li, Qing; Wei, Kangning; Eseryel, U. Yeliz; Howison, James

doi:10.1016/j.infsof.2007.02.004

Cited by 164 publications

(98 citation statements)

References 43 publications

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“…Free/libre Open Source Software (FLOSS) is software developed and maintained by individuals working closely together in globally-distributed environments [5]. The FLOSS development communities can include dozens, hundreds or even thousands of volunteers who, for the most part, are not employed by and do not receive profits from the projects [20].…”

Section: Introductionmentioning

confidence: 99%

Group Maintenance Behaviors of Core and Peripherial Members of Free/Libre Open Source Software Teams

Scialdone

Heckman

et al. 2009

IFIP Advances in Information and Communication Technology

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Abstract. Group Maintenance is pro-social, discretionary, and relation-building behavior that occurs between members of groups in order to maintain reciprocal trust and cooperation. This paper considers how Free/libre Open Source Software (FLOSS) teams demonstrate such behaviors within the context of email, as this is the primary medium through which such teams communicate. We compare group maintenance behaviors between both core and peripheral members of these groups, as well as behaviors between a group that remains producing software today and one which has since dissolved. Our findings indicate that negative politeness tactics (those which show respect for the autonomy of others) may be the most instrumental group maintenance behaviors that contribute to a FLOSS group's ability to survive and continue software production.

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Section: Introductionmentioning

confidence: 99%

Group Maintenance Behaviors of Core and Peripherial Members of Free/Libre Open Source Software Teams

Scialdone

Heckman

et al. 2009

IFIP Advances in Information and Communication Technology

Self Cite

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“…A self-organizing network is characterized by the absence of an explicit coordinating leadership (Wagner & Leydesdorff, 2005), the ability to develop without significant direct external interference (Rycroft & Kash, 2004), the intense inter-relationship and communication between network participants (Anderson, 1999), the coevolution of the participants and the network (Kash & Rycoft, 2000), the learning capacity and use of this learning (Vany, 1996), the knowledge of the capabilities of all participants and access to these capabilities (Kash & Rycroft, 2002), the existence of mutual trust and aid (Kash & Rycroft, 2002), the ability to meet quickly a team to solve a problem and then dissolve it right after (Quinn et al, 1996) and the use of information systems to systematize the knowledge developed and accumulated by the network (Crowston et al, 2007).…”

Section: Self-organizing Networkmentioning

confidence: 99%

“…Among the various works already carried out, we can find examples related to academic and scientific research networks (Bennett & Kidwell, 2001;Wagner & Leydesdorff, 2005), development networks of free software (Crowston et al, 2007), research and development networks in the automotive industry (Rycroft & Kash, 2004), networks of companies to improve sustainability (Espinosa & Porter, 2011), local public administration networks for economic policy development (Lee et al, 2012), networks of farmers (Dutta et al, 2005), networks of fashion industries (Schuh et al, 2008;Scherrer-Rathje et al, 2009), team management (Parker et al, 2015), among others. In all the literature reviewed, self-organizing networks were not addressed in the scope of Six Sigma programs, although there are common characteristics.…”

Section: Self-organizing Networkmentioning

confidence: 99%

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Programa Seis Sigma Auto-organizado: modelo da situação atual e necessidades de mudanças

2017

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Resumo: A formação de redes colaborativas é uma importante forma das organizações estimularem a inovação, reduzirem custos e transferir conhecimentos. Uma forma particular de rede colaborativa, as redes auto-organizadas Palavras-chave: Rede auto-organizada; Seis Sigma; EKD; Modelagem organizacional.Abstract: The formation of collaborative networks is an important way for organizations to stimulate innovation, reduce costs and transfer knowledge. A particular form of collaborative network -the self-organizing network -has shown great capability to promote the learning of those involved, systematize knowledge and lead to innovation. The Six Sigma programs, adopted by several organizations, have as their main objective the reduction in process variability, thus resulting in lower costs and quality improvement. The literature on self-organizing networks has little on the formation of these types of networks and the literature on Six Sigma is focused on statistical methods. Therefor, the aim of this article is to verify the needs for change in a Six Sigma program that enables the development of a self-organizing network. The case studied was carried out with a large organization, manufacturer of capital goods, where the Six Sigma program modeling was performed. From the generated models, as a result, it was have identified a set of changes needed so that the Six Sigma program can create a self-organizing network.

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“…Consequently, how to mitigate the productivity impact of distributed work has become a key concern in methods literature FLOSSD differs from traditional software engineering in its transparency (Scacchi et al 2006), lack of formal SDMs, PMFs, budgets, schedules or rule structures (Scacchi 2007;Scacchi et al 2006), developer self-assignment of tasks (Crowston et al 2007) and success measures (Crowston et al 2004;Crowston et al 2006). For example, Crowston et al (2006) FLOSSD projects are organized into layers -a small group of core developers, a larger group of ad hoc developers who make minor changes and bug fixes and an even larger group who report problems (Mockus et al 2002).…”

Section: The Scope Of the Design Agentmentioning

confidence: 99%

The Sensemaking-Coevolution-Implementation Theory of software design

Ralph

2015

Science of Computer Programming

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Understanding software design practice is critical to understanding modern information systems development. New developments in empirical software engineering, information systems design science and the interdisciplinary design literature combined with recent advances in process theory and testability have created a situation ripe for innovation. Consequently, this paper utilizes these breakthroughs to formulate a process theory of software design practice: SensemakingCoevolution-Implementation Theory explains how complex software systems are created by collocated software development teams in organizations. It posits that an independent agent (design team) creates a software system by alternating between three activities: organizing their perceptions about the context, mutually refining their understandings of the context and design space, and manifesting their understanding of the design space in a technological artifact. This theory development paper defines and illustrates Sensemaking-Coevolution-Implementation Theory, grounds its concepts and relationships in existing literature, conceptually evaluates the theory and situates it in the broader context of information systems development.

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Self-organization of teams for free/libre open source software development

Cited by 164 publications

References 43 publications

Group Maintenance Behaviors of Core and Peripherial Members of Free/Libre Open Source Software Teams

Group Maintenance Behaviors of Core and Peripherial Members of Free/Libre Open Source Software Teams

Programa Seis Sigma Auto-organizado: modelo da situação atual e necessidades de mudanças

The Sensemaking-Coevolution-Implementation Theory of software design

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