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The Impact of project Initiators on open source software project Success: Evidence From Emerging Hosting Platform Gitee

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INTERNATIONAL JOURNAL OF INFORMATION SYSTEMS IN THE SERVICE SECTOR 2020年第1期12卷 28-43页

作者： Wang, Ling Wang, Jinxiao China Univ Polit Sci & Law CUPL Sch Business Beijing Peoples R China Tsinghua Univ Sch Econ & Management Beijing Peoples R China

This paper focuses on studying the role of open source software project initiator in affecting the OSS project success from the perspective of individual and collective behaviors. The authors collected the data from an emerging OSS hosting platform Gitee in China. This research indicates that the success mode for open source software projects in China relies a lot on the project initiators. project initiators not only contribute codes to aid the project directly, but also use their social capital to facilitate the project success. But no full play has been given to social network's effect on mass production and collaborative innovation. The authors suggest collaborative innovation which could lead to coherence of global collective wisdom, reduced development costs, and expanded source of innovation should be the further direction for the OSS project in emerging platforms.

关键词： open source software project project Initiator project Success Social Capital

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The impact of project capabilities on project performance: Case of open source software projects

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INTERNATIONAL JOURNAL OF project MANAGEMENT 2012年第4期30卷 407-417页

作者： Ghapanchi, Amir Hossein Aurum, Aybuke Griffith Univ Sch Informat & Commun Technol Nathan Qld 4111 Australia Univ New S Wales Sch Informat Syst Technol & Management Sydney NSW 2052 Australia

open source software (OSS) projects are contingent on volunteer developers and voluntary contributions from users, accordingly, traditional performance measures used for software projects, like being on time and budget, and satisfying specifications, may not be relevant for such projects. Although researchers have studied some predictors of OSS project performance, there is a lack of empirical work that studies the impact of project capabilities on the performance of OSS projects. Therefore, this paper studies project capabilities as potential predictors of OSS project performance. The data, gathered from 607 OSS projects over time (in two snap-shots), were consistent with Dynamic Capability Theory (DCT). In other words, the results showed that in order to achieve higher project performance, OSS projects need to have strong capabilities in terms of proactive and efficient defect-removal as well as proactive and efficient functionality-enhancement. The implications of these results for the OSS research community are discussed, followed by recommendations for OSS practitioners. (C) 2011 Elsevier Ltd. APM and IPMA. All rights reserved.

关键词： project performance open source software project project capability Dynamic capability theory

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Investigating the Interrelationships among Success Measures of open source software projects

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JOURNAL OF ORGANIZATIONAL COMPUTING AND ELECTRONIC COMMERCE 2015年第1期25卷 28-46页

作者： Ghapanchi, Amir Hossein Griffith Univ Sch Informat & Commun Technol Southport Qld 4222 Australia

open source software (OSS) has attracted extensive attention from researchers and scholars. This increasing attention is a result of the remarkable growth in the number of OSS applications in recent years. Despite an increased number of studies on OSS project success, the interrelationships among different success indicators of OSS projects are not well understood in literature. The present study reports on the interrelationships between the success measures of OSS projects, as defined by the ability of the project to attract user and developer interest, release management, project activity, and development sustainability. To test the relationships hypothesized, we gathered data from 1409 OSS projects over time (in two snapshots over a period of eight months). The results show the following: (a) project activity until any time period positively impacts the subsequent period's developer interest and development sustainability;(b) development sustainability positively drives user and developer interest;(c) release frequency positively influences the next period's developer interest, as well as development sustainability;(d) developer interest positively drives user interest. These findings have implications for both the OSS research community and OSS practitioners.

关键词： open source software project software project management success measures' interrelationships development sustainability OSS project success

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Event-based monitoring of open source software projects

Event-based monitoring of open source software projects

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2nd International Conference on Availability, Reliability and Security

作者： Wahyudin, Dindin Tjoa, A. Min Vienna Univ Technol Inst Software Technol & Interact Syst Favoritenstrasse 9-11-188 A-1040 Vienna Austria

ISBN: (纸本)9780769527758

project management traditionally has a strong focus on human reporting that fits well a tightly coupled form of organization to ensure the quality of project reporting. For loosely coupled forms of organization, such as open source systems (OSS) development projects, there are very few approaches to ensure the quality of project reporting;a promising approach can be to augment human reporting with data analysis based on the communication and state changes in an OSS project. In this paper we propose a concept and an initial measurement approach for event-based monitoring of OSS projects to better understand the actual benefit of tool-supported gathering, correlating and analyzing processes event data from the OSS community as a supplement for traditional software project monitoring data collection. We report on an empirical feasibility study investigating success and risk indicators of five OSS projects listed in the Apache Incubator.

关键词： software project management system and process monitoring event-based system event-based project monitoring open source software project

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ANATOMY OF open source software projectS: EVOLVING DYNAMICS OF INNOVATION LANDSCAPE IN open source software ECOLOGY.

ANATOMY OF OPEN SOURCE SOFTWARE PROJECTS: EVOLVING DYNAMICS ...

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5th Mosharaka International Conference on Communications, Computers and Applications (MIC-CCA)

作者： Joo, ChulHwee Kang, Heesuk Lee, Heesang Sungkyunkwan Univ Dept Management Technol Seoul South Korea

ISBN: (纸本)9781938302077;9781467352307

open source software (OSS) has been studied as a popular example of open innovation. Models used in open software development are innovative in several ways, to the point that they are only recognized as valid models at all since they have actually produced mature and stable software more in a swift fashion. Some studies attempt to answer the OSS's development model, way to produce the quality products and distributed development model driven by motivated voluntary developers found in OSS. However, they are usually focused on handful projects and often miss to represent the whole world of OSS development. We analyze FLOSSMetrics database and sourceForge repository. By examining these, we attempt to identify 1) factual landscape of OSS projects, 2) correlation between different measures including developers' activities and consumers' interests. This analysis is also supplemented by empirical research on world re-known OSS projects to identify the implication of vendor-led OSS projects. We find that OSS projects are hardly to be seen as loci of future open innovation in several ways. We also conclude that prior belief which altruistic developers donating time and effort for the common good is highly romanticized view of open source software.

关键词： open Innovation open source software (OSS) open source software Community open source software Development open source software project

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An overview of the Hadoop/MapReduce/HBase framework and its current applications in bioinformatics

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BMC BIOINFORMATICS 2010年第12-Sup期11卷 1-6页

作者： Taylor, Ronald C. Pacific NW Natl Lab Computat Biol & Bioinformat Grp Richland WA 99352 USA

Background: Bioinformatics researchers are now confronted with analysis of ultra large-scale data sets, a problem that will only increase at an alarming rate in coming years. Recent developments in open source software, that is, the Hadoop project and associated software, provide a foundation for scaling to petabyte scale data warehouses on Linux clusters, providing fault-tolerant parallelized analysis on such data using a programming style named MapReduce. Description: An overview is given of the current usage within the bioinformatics community of Hadoop, a top-level Apache software Foundation project, and of associated open source software projects. The concepts behind Hadoop and the associated HBase project are defined, and current bioinformatics software that employ Hadoop is described. The focus is on next-generation sequencing, as the leading application area to date. Conclusions: Hadoop and the MapReduce programming paradigm already have a substantial base in the bioinformatics community, especially in the field of next-generation sequencing analysis, and such use is increasing. This is due to the cost-effectiveness of Hadoop-based analysis on commodity Linux clusters, and in the cloud via data upload to cloud vendors who have implemented Hadoop/HBase;and due to the effectiveness and ease-of-use of the MapReduce method in parallelization of many data analysis algorithms.

关键词： Cloud Computing Message Passing Interface Hadoop Distribute File System Pacific Northwest National Laboratory open source software project

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Improving generality and accuracy of existing public development project selection methods: a study on GitHub ecosystem

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AUTOMATED software ENGINEERING 2022年第1期29卷 1-43页

作者： Cheng, Can Li, Bing Li, Zengyang Liang, Peng Han, Xiaofeng Zhang, Jiahua Wuhan Univ Sch Comp Sci Wuhan Peoples R China Cent China Normal Univ Sch Comp Sci Wuhan Peoples R China

With available tools and datasets existing on GitHub ecosystem, researchers have the opportunities to study diverse software engineering problems on a large-scale dataset. However, there are many potential threats when researchers try to directly use large-scale datasets, and one important threat is that GitHub contains many private projects (e.g., homework) and non-development projects (e.g., blog). For researchers who want to study cooperative behavior of developers or development process of projects, their research samples should not contain private projects and non-development projects. To solve this problem, we first analyzed the weaknesses of the base line methods (i.e., selecting top projects) and extended ML-based methods (i.e., training models on a labeled training dataset using ML algorithms, Extended_MLMs for short), and proposed two methods called Enhanced_RFM and Fusion_DL_RFM to address the weaknesses of Extended_RFM (the Extended_MLM that is based on Random Forest and has the best performance among all the Extended_MLMs). The results show that: (1) existing project sample selection methods have a low F-measure and poor generality (i.e., have a bad performance on the testing dataset);(2) Enhanced_RFM outperforms Fusion_DL_RFM on accuracy and stability;and (3) by adopting Enhanced_RFM, the F-measure of Extended_RFM is improved from 0.690 to 0.810 and the precision of Extended_RFM is improved from 0.559 to 0.785 under cross validation, which indicates that the generality of Extended_RFM is significantly improved.

关键词： open source software project GitHub Public development project

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Making open source project Health Transparent

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COMPUTER 2021年第8期54卷 104-111页

作者： Goggins, Sean P. Germonprez, Matt Lumbard, Kevin Univ Missouri Comp Sci Columbia MO 65211 USA Univ Nebraska Coll Informat Sci & Technol Omaha NE 68182 USA Univ Nebraska Omaha NE 68182 USA

We explore the Community Health Analytics for open source software project and how it plays an integral role in the automation of key measures to make the state of open source readily observable.

关键词： Data Analysis Health Care Medical Information Systems Public Domain software Community Health Analytics open source software project open source software

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Anatomy of open source software projects: Evolving dynamics of innovation landscape in open source software ecology

Anatomy of open source software projects: Evolving dynamics ...

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Mosharaka International Conference on Communications, Computers and Applications, MIC-CCA

作者： ChulHwee Joo Heesuk Kang Heesang Lee Department of Management of Technology Sungkyunkwan University South Korea

ISBN: (纸本)9781467352307

关键词： open Innovation open source software (OSS) open source software Community open source software Development open source software project open source software Office of the Supervising Scientist source software development model Anatomy Technological Innovations DEVELOPERS Developers empirical approach

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Using eclipse as a tool-integration platform for software development

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IEEE software 2007年第2期24卷 87-89页

作者： Yang, Zhihui Jiang, Michael Motorola Inc Syst & Software Engn Res Lab Schaumburg IL 60196 USA

Eclipse is an open source software project dedicated to providing a robust, full-featured, and commercial-quality platform for developing and supporting highly integrated software engineering tools. Excepting the small Eclipse runtime kernel, all the platform components are plug-in tools integrated seamlessly through predefined extension points. The platform supports deliverables throughout the development and maintenance life cycle

关键词： programming environments public domain software software reviews software tools Eclipse commercial-quality platform development life cycle highly integrated software engineering tools maintenance life cycle open source software project plug-in tools runt computer software software Tools software reviews open source software programming environments software design Platform development time ECLIPSES

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