Empirical Research on the Evaluation Model and Method of Sustainability of the Open Source Ecosystem

Liao, Zhifang; Deng, Libing; Fan, Xiaoping; Zhang, Yan; Liu, Hui; Qi, Xinyu; Zhou, Yun

doi:10.3390/sym10120747

Cited by 18 publications

(19 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An ecosystem can be understood as "a system of people, practices, values and technologies in a particular local environment" [40]. There are various ecosystem analogies, such as the business ecosystem, digital ecosystem, and open government ecosystem [38,[40][41][42]. The concept of a data ecosystem has seen growing use in research on data-driven government.…”

Section: Definition Of Sustainability Of Ogdmentioning

confidence: 99%

See 1 more Smart Citation

Improving the Sustainability of Open Government Data

et al. 2019

View full text Add to dashboard Cite

In the context of big data, opening government data to society for development and utilization would improve the transparency of government work and promote harmonious social development. Improving the sustainability of open government data (OGD) is an important and challenging issue, and has received the attention of multiple governments. The goals of this study are to construct a new evaluation model for the sustainability of OGD that explores the main influential factors and amends the priorities. We used a combination of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method and the Analytical Network Process (ANP) method known as DANP to construct an influential network relationship map (INRM) of the evaluation system and calculate the criterion weights. The INRM and weights can help decision makers understand the complex assessment system and set priorities for improving OGD. The results demonstrate that the improvement priorities of dimensions have the following order: impact (D4), use (D3), data (D2), and environment (D1). Economic, social, and political values are the three critical factors for improvement of the sustainability of OGD. Some implications for management are also provided.

show abstract

Section: Definition Of Sustainability Of Ogdmentioning

confidence: 99%

“…The OGD ecosystem includes stakeholders, processes of data, and benefits associated [6,38]. The components of the OGD ecosystem mainly include stakeholders, the process of utilization, benefit, and external environment [42]. An OGD ecosystem is defined as one driven by the realization of value [40].…”

Section: Definition Of Sustainability Of Ogdmentioning

confidence: 99%

Improving the Sustainability of Open Government Data

et al. 2019

View full text Add to dashboard Cite

show abstract

“…A large number of netizens are not only users of various software services, but they also make great contributions to various types of network data and service applications, which makes software crowdsourcing possible. For an open network environment, how to effectively manage and coordinate the use of the crowd to maximize the benefits is important, especially in software engineering [12,13].…”

Section: Crowdsourcing In Software Engineeringmentioning

confidence: 99%

A Data-Driven Game Theoretic Strategy for Developers in Software Crowdsourcing: A Case Study

Liao

Zhang

et al. 2019

Applied Sciences

Self Cite

View full text Add to dashboard Cite

Crowdsourcing has the advantages of being cost-effective and saving time, which is a typical embodiment of collective wisdom and community workers’ collaborative development. However, this development paradigm of software crowdsourcing has not been used widely. A very important reason is that requesters have limited knowledge about crowd workers’ professional skills and qualities. Another reason is that the crowd workers in the competition cannot get the appropriate reward, which affects their motivation. To solve this problem, this paper proposes a method of maximizing reward based on the crowdsourcing ability of workers, they can choose tasks according to their own abilities to obtain appropriate bonuses. Our method includes two steps: Firstly, it puts forward a method to evaluate the crowd workers’ ability, then it analyzes the intensity of competition for tasks at Topcoder.com—an open community crowdsourcing platform—on the basis of the workers’ crowdsourcing ability; secondly, it follows dynamic programming ideas and builds game models under complete information in different cases, offering a strategy of reward maximization for workers by solving a mixed-strategy Nash equilibrium. This paper employs crowdsourcing data from Topcoder.com to carry out experiments. The experimental results show that the distribution of workers’ crowdsourcing ability is uneven, and to some extent it can show the activity degree of crowdsourcing tasks. Meanwhile, according to the strategy of reward maximization, a crowd worker can get the theoretically maximum reward.

show abstract

“…Other research foci include the health measurement of software ecosystems [26], the software architecture of software ecosystems [27], and their organizational business [28]. Libing Deng et al [29] constructing the Evaluation Indicators System to measure the overall state of the ecosystem. Dayu He et al [30] analyzed the characteristics of issues in the GitHub open-source ecosystem through visualization technology.…”

Section: Research On Software Ecosystemsmentioning

confidence: 99%

Identification-Method Research for Open-Source Software Ecosystems

et al. 2019

Self Cite

View full text Add to dashboard Cite

In recent years, open-source software (OSS) development has grown, with many developers around the world working on different OSS projects. A variety of open-source software ecosystems have emerged, for instance, GitHub, StackOverflow, and SourceForge. One of the most typical social-programming and code-hosting sites, GitHub, has amassed numerous open-source-software projects and developers in the same virtual collaboration platform. Since GitHub itself is a large open-source community, it hosts a collection of software projects that are developed together and coevolve. The great challenge here is how to identify the relationship between these projects, i.e., project relevance. Software-ecosystem identification is the basis of other studies in the ecosystem. Therefore, how to extract useful information in GitHub and identify software ecosystems is particularly important, and it is also a research area in symmetry. In this paper, a Topic-based Project Knowledge Metrics Framework (TPKMF) is proposed. By collecting the multisource dataset of an open-source ecosystem, project-relevance analysis of the open-source software is carried out on the basis of software-ecosystem identification. Then, we used our Spectral Clustering algorithm based on Core Project (CP-SC) to identify software-ecosystem projects and further identify software ecosystems. We verified that most software ecosystems usually contain a core software project, and most other projects are associated with it. Furthermore, we analyzed the characteristics of the ecosystem, and we also found that interactive information has greater impact on project relevance. Finally, we summarize the Topic-based Project Knowledge Metrics Framework.

show abstract

Empirical Research on the Evaluation Model and Method of Sustainability of the Open Source Ecosystem

Cited by 18 publications

References 33 publications

Improving the Sustainability of Open Government Data

Improving the Sustainability of Open Government Data

A Data-Driven Game Theoretic Strategy for Developers in Software Crowdsourcing: A Case Study

Identification-Method Research for Open-Source Software Ecosystems

Contact Info

Product

Resources

About