Open Source Software Ecosystems: Towards a Modelling Framework

Franco-Bedoya, Oscar

doi:10.1007/978-3-319-17837-0_16

Cited by 3 publications

(3 citation statements)

References 19 publications

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“…Most of the available methods for evaluating FLOSS communities entail the use of quantitative approaches usually expressed as metrics for aspects such as community activeness, size, diversity, and performance [9,11,21,27,28,31]. Whilst useful to investigate how community performance has been evolving over time, metrics by themselves provide no guidance regarding improvement opportunities and may be tricky to be applied across different FLOSS communities.…”

Section: Introductionmentioning

confidence: 99%

Principled Evaluation of Strengths and Weaknesses in FLOSS Communities: A Systematic Mixed Methods Maturity Model Approach

Andrade

Saraiva

2017

Open Source Systems: Towards Robust Practices

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Abstract.Context: Free and Open Source Software usually results from intricate socio-technical dynamics operating in a diverse and geographically dispersed community. Understanding the fundamental underpinnings of healthy and thriving communities is of paramount importance to evaluate existing efforts and identify improvement opportunities. Objective: This paper presents a novel reference model for evaluating the maturity of FLOSS communities by mixing quantitative and qualitative methods. Method: We build upon established guidelines for Design Science research in order to devise a well-informed and expressive maturity model, describing how those methods and procedures were used in the design and development of such a model. Results: We present the model structure and functions, as well as instructions on how to instantiate it as evaluations of FLOSS communities. The use of the proposed maturity model is demonstrated in four FLOSS communities. Conclusion: Whilst instantiating the model may be burdensome if aiming at sketchy evaluations, results indicate our model effectively captures the maturity regardless aspects such as community size and lifetime.

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Section: Introductionmentioning

confidence: 99%

Principled Evaluation of Strengths and Weaknesses in FLOSS Communities: A Systematic Mixed Methods Maturity Model Approach

Andrade

Saraiva

2017

Open Source Systems: Towards Robust Practices

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“…The interrelated artefacts of the framework were designed and validated iteratively along the design process, resulting in the proposed quality evaluation framework named QuESo-framework. An earlier proposal for the framework was presented in the conference OSS-2015 [57], winner of the PhD contest in softwareecosystems. An extended version of this work has been published as a book chapter in [58].…”

Section: The Frameworkmentioning

confidence: 99%

“…o QuESo-tool: we designed a software tool, in order to show the feasibility to use the QuESo-process and to support the validation of the QuESo-model. An earlier proof of concept implementation focused in monitoring a list of community health measures (Chapter 6) was published in the conference RCIS-2014 (CORE-B) [60] and presented in the JCIS-Sistedes 2015 [61].…”

Section: The Frameworkmentioning

confidence: 99%

Open source software ecosystems quality analysis from data sources

Franco Bedoya

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Background: Open source software (OSS) and software ecosystems (SECOs) are two consolidated research areas in software engineering. The adoption of OSS by firms, governments, researchers and practitioners has been increasing rapidly in the last decades, and in consequence, they find themselves in a new kind of ecosystem composed by software communities,foundations, developers and partners, namely Open Source Software Ecosystem (OSSECO). In order to perform a systematic quality evaluation of a SECO, it is necessary to define certain types of concrete elements. This means that measures and evaluations should be described (e.g., through thresholds or expert judgment). The quality evaluation of an OSSECO may serve several purposes, for example: adopters of the products of the OSSECO may want to know about the liveliness of the OSSECO (e.g., recent updates); software developers may want to know about the activeness (e.g., how many collaborators are involved and how active they are); and the OSSECO community itself to know about the OSSECO health (e.g., evolving in the right direction). However, the current approaches for evaluating software quality (even those specific for open source software) do not cover all the aspects relevant in an OSSECO from an ecosystem perspective. Goal: The main goal of this PhD thesis is to support the OSSECO quality evaluation by designing a framework that supports the quality evaluation of OSSECOs. Methods: To accomplish this goal, we have used and approach based on design science methodology by Wieringa [1] and the characterization of software engineering proposed by M. Shaw [2], in order to produce a set of artefacts to contribute in thequality evaluation of OSSECOs and to learn about the effects of using these artefacts in practice. Results: We have conducted a systematic mapping to characterize OSSECOs and designed the QuESo framework (a framework to evaluate the OSSECO quality) composed by three artifacts: (i) QuESo-model, a quality model for OSSECOs; (ii) QuESoprocess, a process for conducting OSSECO quality evaluations using the QuESo-model; and (iii) QuESo-tool, a software component to support semi-automatic quality evaluation of OSSECOs. Furthermore, this framework has been validated with a case study on Eclipse. Conclusions: This thesis has contributed to increase the knowledge and understanding of OSSECOs, and to support the qualityevaluation of OSSECOs. [ ntecedentes: el software de código abierto (OSS, por sus siglas en inglés) y los ecosistemas de software (SECOs, por sus siglas en inglés) son dos áreas de investigación consolidadas en ingeniería de software. La adopción de OSS por parte de empresas, gobiernos, investigadores y profesionales se ha incrementado rápidamente en las últimas décadas, y, en consecuencia, todos ellos hacen parte de un nuevo tipo de ecosistema formado por comunidades de software, fundaciones, desarrolladores y socios denominado ecosistema de software de código abierto. (OSSECO, por sus siglas en inglés)). Para realizar una evaluación sistemática de la calidad de un SECO, es necesario definir ciertos tipos de elementos concretos. Esto significa que tanto las métricas como las evaluaciones deben ser descritos (por ejemplo, a través de datos históricos o el conocimiento de expertos). La evaluación de la calidad de un OSSECO puede ser de utilidad desde diferentes perspectivas, por ejemplo: los que adoptan los productos del OSSECO pueden querer conocer la vitalidad del OSSECO (por ejemplo, el número de actualizaciones recientes); los desarrolladores de software pueden querer saber sobre la actividad del OSSECO (por ejemplo, cuántos colaboradores están involucrados y qué tan activos son); incluso la propia comunidad del OSSECO para conocer el estado de salud del OSSECO (por ejemplo, si está evolucionando en la dirección correcta). Sin embargo, los enfoques actuales para evaluar la calidad del software (incluso aquellos específicos para el software de código abierto) no cubren todos los aspectos relevantes en un OSSECO desde una perspectiva ecosistémica. Objetivo: El objetivo principal de esta tesis doctoral es apoyar la evaluación de la calidad de OSSECO mediante el diseño de un marco de trabajo que ayude a la evaluación de la calidad de un OSSECO. Métodos: Para lograr este objetivo, hemos utilizado un enfoque basado en la metodología design science propuesta por Wieringa [1]. Adicionalmente, nos hemos basado en la caracterización de la ingeniería de software propuesta por M. Shaw [2], con el fin de construir un conjunto de artefactos que contribuyan en la evaluación de la calidad de un OSSECO y para conocer los efectos del uso de estos artefactos en la práctica. Resultados: Hemos realizado un mapeo sistemático para caracterizar los OSSECOs y hemos diseñado el marco de trabajo denominado QuESo (es un marco de trabajo para evaluar la calidad de los OSSECOs). QuESo a su vez está compuesto por tres artefactos: (i) QuESo-model, un modelo de calidad para OSSECOs; (ii) QuESo-process, un proceso para llevar a cabo las evaluaciones de calidad de OSSECOs utilizando el modelo QuESo; y (iii) QuESo-tool, un conjunto de componentes de software que apoyan la evaluación de calidad de los OSSECOs de manera semiautomática. QuESo ha sido validado con un estudio de caso sobre Eclipse. Conclusiones: esta tesis ha contribuido a aumentar el conocimiento y la comprensión de los OSSECOs, y tambien ha apoyado la evaluación de la calidad de los OSSECOs

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Modeling and Ranking External Stakeholders in Open Source Software Adoption

Tapia

Carvallo

2019

Advances in Intelligent Systems and Computing

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Open Source Software Ecosystems: Towards a Modelling Framework

Cited by 3 publications

References 19 publications

Principled Evaluation of Strengths and Weaknesses in FLOSS Communities: A Systematic Mixed Methods Maturity Model Approach

Principled Evaluation of Strengths and Weaknesses in FLOSS Communities: A Systematic Mixed Methods Maturity Model Approach

Open source software ecosystems quality analysis from data sources

Modeling and Ranking External Stakeholders in Open Source Software Adoption

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