Studying Evolving Software Ecosystems based on Ecological Models

Mens, Tom; Claes, Maelick; Grosjean, Philippe; Serebrenik, Alexander

doi:10.1007/978-3-642-45398-4_10

Cited by 44 publications

(46 citation statements)

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“…the matured concept of DBECO was exposed by Briscoe that defined DBECO as distributed adaptive open socio-technical systems, with properties of self-organization, scalability and sustainability, inspired by natural ecosystems [7]. The term software ecosystem (SECO) has been coined by Messerschmitt and Szyperski to refer to "a collection of software products that have some given degree of symbiotic relationships" [8], [2]. However, in contrast to natural ecosystem, there is no common definition of software ecosystem.…”

Section: Software Ecosystemsmentioning

confidence: 99%

“…However, in contrast to natural ecosystem, there is no common definition of software ecosystem. It can be defined and interpreted in different ways, depending on the point of view [2]. Some of the most accepted definitions of SECO are: -A software ecosystem is "a set of actors functioning as a unit and interacting with a shared market for software and services, together with the relationships among them" [1].…”

Section: Software Ecosystemsmentioning

confidence: 99%

“…These concepts are a weak metaphor of natural ecosystem terms. However, the transfer of knowledge has essentially limited itself to a reuse of terms [2]. In order to support our proposal, In Table 1 we have integrated the different concepts of ecosystems: OSS-ecosystems are complex artefacts that require a specific characterization in order to model its elements and relationships.…”

Section: Open Source Software Ecosystemsmentioning

confidence: 99%

“…The ecosystem terminology defined by Mens [2] and Lopez [14] show that there are several differences between commercial SECOs and OSS-ecosystems. Sustainability in an OSS-ecosystem is related to the number of ecosystem community members [20].…”

Section: Oss-ecosystem Modelling Frameworkmentioning

confidence: 99%

“…Software ecosystems are among the most complex systems ever created by human [2], and models may help understanding them. -Traceability.…”

Section: Introductionmentioning

confidence: 99%

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Open Source Software Ecosystems: Towards a Modelling Framework

Franco-Bedoya

2015

Open Source Systems: Adoption and Impact

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Open source software ecosystem modelling has emerged as an important research area in software engineering. Several models have been proposed to identify and analyse the complex relationships in OSSecosystems. However, there is a lack of formal models, methodologies, tool support, and standard notations for OSS-ecosystems. In this paper we propose a general framework for support the OSSecosystems modelling process. This framework will allow the representation, synthesis, analysis, evaluation, and evolution of OSS-ecosystems. Design science methodology is proposed to create several artefacts and investigating the suitability of these artefacts in the OSS-ecosystem context. Abstract. Open source software ecosystem modelling has emerged as an important research area in software engineering. Several models have been proposed to identify and analyse the complex relationships in OSSecosystems. However, there is a lack of formal models, methodologies, tool support, and standard notations for OSS-ecosystems. In this paper we propose a general framework for support the OSS-ecosystems modelling process. This framework will allow the representation, synthesis, analysis, evaluation, and evolution of OSS-ecosystems. Design science methodology is proposed to create several artefacts and investigating the suitability of these artefacts in the OSS-ecosystem context.

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Section: Software Ecosystemsmentioning

confidence: 99%

Section: Software Ecosystemsmentioning

confidence: 99%

Section: Open Source Software Ecosystemsmentioning

confidence: 99%

Section: Oss-ecosystem Modelling Frameworkmentioning

confidence: 99%

“…Software ecosystems are among the most complex systems ever created by human [2], and models may help understanding them. -Traceability.…”

Section: Introductionmentioning

confidence: 99%

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Open Source Software Ecosystems: Towards a Modelling Framework

Franco-Bedoya

2015

Open Source Systems: Adoption and Impact

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The academic eBook ecosystem reinvigorated: A perspective from the USA

Watkinson

2018

Learned Publishing

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The development of infrastructure to support new forms of long-form digital scholarship that go 'beyond the eBook' has been an active area of humanities publishing over the last 5 years. Proactive philanthropic support for this work has energized the US non-profit publishing community, especially university presses and library-based publishers. This article describes the various strands of work that are ongoing and identifies some common themes: an emphasis on shared values; a focus on building an ecosystem of interoperable platforms and tools; and engagement with the challenges facing new-form digital publications (especially preservation, discovery, and accessibility). This article also considers how publishers who are looking for new platforms and processes can navigate the variety of options now on offer.

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An ecology‐oriented convergence evolution analysis method of crossover service ecosystems

Qiao,

Wang,

Liu

et al. 2023

J Software Evolu Process

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The phenomenon of crossover cooperation and convergence among services has gained increasing attention in the modern service industry. Service boundaries have been expansively stretched into other domains rather than limited to their original domains to achieve value creation, fostering the emergence of crossover services. Consequently, a complex service ecosystem takes shape. However, there is a lack of the convergence‐evolution mechanism of crossover services for the adaptive transformation of service providers' businesses in this context. To address this problem, this paper proposes population‐based and community‐based convergence‐evolution patterns from the ecological perspective. Based on the analysis of these evolution patterns and the driven force of service evolution, we propose an ecology‐oriented evolution analysis method. Furthermore, we devise an automated tool to support the evolution design of crossover service ecosystems. Case studies and evaluation experiments show the feasibility and effectiveness of our proposed method and the corresponding tool.

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Studying Evolving Software Ecosystems based on Ecological Models

Cited by 44 publications

References 0 publications

Open Source Software Ecosystems: Towards a Modelling Framework

Open Source Software Ecosystems: Towards a Modelling Framework

The academic eBook ecosystem reinvigorated: A perspective from the USA

An ecology‐oriented convergence evolution analysis method of crossover service ecosystems

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