• Title/Summary/Keyword: Performance of Open Source Software

검색결과 134건 처리시간 0.028초

Performance Verification Process for Introduction of Open Source Software -centered on introduction of Linux into the NEIS-

  • Kim Doo-Yeon;Kim Jong-Bae;Rhew Sung-Yul
    • 한국산업정보학회논문지
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    • 제11권3호
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    • pp.59-68
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    • 2006
  • Recently, introduction of Open Source Software into informatization of the government and public sector has been actively examined, however, Open Source Software is being rarely adopted due to the lack of verified and reliable data with regard to the criteria, process, performance and stability for introduction of Open Source Software. In this paper, the process, method and plan for performance verification for introduction of Open Source Software into mission critical systems of the government and public sector are suggested in order to solve the aforesaid problem Specially, a test system to judge whether or not to adopt Open Source Software in school affairs system of the NEIS(National Education Information System) of the Korean government was set up, and the method and process of performance verification by stage in addition to feasibility study were applied to the test system for verification. Based on the result of performance evaluation in the test system, the application of Linux to school affairs system of the NEIS is being successfully practiced. It is expected that this study will be a guideline to technical review process and performance verification method as necessary to introduce Open Source Software into the mission critical systems of government and public agencies.

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벤치마크 테스트를 통한 공개소프트웨어 검증 절차에 관한 연구 (A study for Verification Procedures on Open-source Software Via Benchmark Testing)

  • 김두연;류성열
    • 한국IT서비스학회지
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    • 제5권3호
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    • pp.99-108
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    • 2006
  • Public institutions are considering adoption of open-source software in the process of information projects. However, there doesn't exist reliable information about an adoption process for open-source software. Performance and stability problems of this software also persist, as a result, current open-source software is not widely used. As a software market and industry grows, Benchmark test has been performed more often than before in order to help customers understand and select the most appropriate product among myriad similar ones. It is certain that more objective and trustful data evidence should be obtained by way of utilizing the procedures and methods of Benchmark Test in decision making process for selecting an open-source software. For this research, Benchmark test was applied as a way of demonstrating performance verification of an open-source software in the public institutions. It is certain that more objective and trustful data evidence should be obtained by way of utilizing the procedures and methods of Benchmark Test in decision making process for selecting an open-source software. It also introduces a case study of a information system, which selected and implemented open-source software, in order to confirm the validity of this research. This research will serve as a guideline to adopt open-source software in governments as well as public institutions.

지식의 탐색(Exploration)과 활용(Exploitation)이 개방형협업의 성과에 미치는 영향: 오픈소스 소프트웨어 개발 프로젝트를 중심으로 (Impacts of Exploitation and Exploration on Performance of Open Collaboration: Focus on Open Source Software Development Project)

  • 이새롬;백현미;장정주
    • 지식경영연구
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    • 제18권2호
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    • pp.85-102
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    • 2017
  • With rapid development of information and communication technologies, open collaboration can be eased through the Internet. Open source software, as a representative area of open collaboration, is developed and adopted to various fields. In this research, based on organizational learning theory, we examine the impacts of exploration and exploitation on innovation performance in open source software development projects. We define knowledge exploration as a number of developers from outside organization and knowledge exploitation as the ratio of member of an organization who participated in an open source software project managed by the organization. For analysis, we collect data of 4794 projects from github which is a representative open source software development platform using Web crawler developed by Python. As a result, we find that excessive exploration has curvilinear (invers U-shape) relationship on project performance. On the other hand, exploitation with enough external developers will positively impact on project performance.

개방형협업 참여자의 지식창출·지식공유 구조와 혁신 성과: 오픈소스 소프트웨어 개발 커뮤니티를 중심으로 (The Impact on Structures of Knowledge Creation and Sharing on Performance of Open Collaboration: Focus on Open Source Software Development Communities)

  • 구경모;백현미;이새롬
    • 지식경영연구
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    • 제18권4호
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    • pp.287-306
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    • 2017
  • This research focus on the effect of developers' participation structure in knowledge creation and knowledge sharing activities in open source software development projects. Based on preferential selection theory, hypotheses of relationship between a developers' concentration of knowledge creation/sharing activities and collaboration performance was derived. To verify the hypotheses, we use the Gini coefficient in the commit contribution of the developers (knowledge creation) and the centralization index in the repository issue network (knowledge sharing network). Using social network analysis, this paper calculates centralization index from developers in the issue boards in each repository based on data from 837 repositories in GitHub, a leading open source software development platform. As a result, instead of all developers creating and sharing knowledge equally, only a few of developers creating and sharing knowledge intensively further improve the performance of the open collaboration. In other words, a few developers predominantly providing commit and actively responding to issues raised from other developers enhance the project performance. The results of this study are expected to be used by developers who manage open source software project as a governance strategy, which could improve the performance of open collaboration.

텍스트 마이닝을 통한 키워드 추출과 머신러닝 기반의 오픈소스 소프트웨어 주제 분류 (Keyword Extraction through Text Mining and Open Source Software Category Classification based on Machine Learning Algorithms)

  • 이예슬;백승찬;조용준;신동명
    • 한국소프트웨어감정평가학회 논문지
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    • 제14권2호
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    • pp.1-9
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    • 2018
  • 오픈소스를 사용하는 사용자 및 기업의 비중이 지속적으로 증가하고 있다. 국외뿐만 아니라 국내에서의 오픈소스 소프트웨어 시장 규모가 급격하게 성장하고 있다. 하지만 오픈소스 소프트웨어의 지속적인 발전에 비해서, 오픈소스 소프트웨어 주제 분류에 대한 연구 거의 이루어지지 않고 있으며 소프트웨어의 분류 체계 또한 구체화되어 있지 않다. 현재는 사용자가 주제를 직접 입력하거나 태깅하는 방식을 사용하고 있으며 이에 따른 오 분류 및 번거로움이 존재한다. 또한 오픈소스 소프트웨어 분류에 대한 연구는 오픈소스 소프트웨어 평가, 추천, 필터링등의 기반 연구로 이용될 수 있다. 따라서 본 연구에서는 머신러닝 모델을 사용하여 오픈소스 소프트웨어를 분류하는 기법에 대하여 제안하고, 머신러닝 모델 별 성능 비교를 제안한다.

The role of openness in open collaboration: A focus on open-source software development projects

  • Lee, Saerom;Baek, Hyunmi;Oh, Sehwan
    • ETRI Journal
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    • 제42권2호
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    • pp.196-204
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    • 2020
  • Open-source software development projects are well suited for exploring new ideas and acquiring knowledge from developers outside of the project. In this paper, we examine the impact of external developers on innovation in open-source software development from the perspective of organizational learning theory. We examine the roles of external and internal developers, who "explore" and "exploit," respectively, on the innovation performance of 17 691 open-source software development projects whose data is stored in the GitHub platform. The results indicate that a multifaceted strategy, in which the exploitation successfully supports the exploration, is most effective for their success. The results also indicate that the role of exploration decreases after the release of the software.

국내 오픈소스 공간정보 소프트웨어 활성화를 위한 요구사항 분석 (User Requirements Analysis for Vitalization of Open Source GIS Software in Korea)

  • 강영옥;권회윤
    • Spatial Information Research
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    • 제23권6호
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    • pp.99-107
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    • 2015
  • 최근 오픈소스 소프트웨어에 대한 수요가 높아지면서 오픈소스 소프트웨어 시장은 더 커지고 있으며, 국내에서도 오픈소스 소프트웨어를 활성화하기 위한 다양한 정책이 추진되고 있다. 하지만 아직까지 공간정보 분야의 오픈소스 소프트웨어 활성화를 위한 노력은 거의 이루어진 바 없다. 본 논문은 국내 오픈소스 공간정보 소프트웨어 사용자 요구사항을 분석하여 활용 현장에 적합한 활성화 지원방안을 도출하는 것을 목적으로 한다. 이를 위하여 오픈소스 소프트웨어 분야에서 추진된 활성화 관련 연구를 검토하고, 오픈소스 공간정보 소프트웨어의 인지도, 활용현황, 도입의향 및 활성화 지원방안 등에 대한 설문조사를 실시하였다. 오픈소스 공간정보 소프트웨어의 도입 의향은 기업에서 97%, 학교에서 89%로 높았으나 공공기관에서는 69%로 나타나 공공기관의 인지도 개선을 위한 홍보 활동이 필요함을 시사 하였다. 또한 대부분의 응답자가 활성화 지원방안으로 교육 기회와 기술 지원이 가장 필요하다고 느끼는 것으로 나타났다. 본 논문은 향후 국내 오픈소스 공간정보 소프트웨어 활성화를 위한 정책 수립의 기초 자료로 활용될 것으로 기대된다.

Analysis of Open-Source Hyperparameter Optimization Software Trends

  • Lee, Yo-Seob;Moon, Phil-Joo
    • International Journal of Advanced Culture Technology
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    • 제7권4호
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    • pp.56-62
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    • 2019
  • Recently, research using artificial neural networks has further expanded the field of neural network optimization and automatic structuring from improving inference accuracy. The performance of the machine learning algorithm depends on how the hyperparameters are configured. Open-source hyperparameter optimization software can be an important step forward in improving the performance of machine learning algorithms. In this paper, we review open-source hyperparameter optimization softwares.

Source 공개 코드 OpenFOAM에 대한 리뷰 (REVIEW ON OPENFOAM - AN OPEN SOURCE SOFTWARE)

  • 박준권;강관형
    • 한국전산유체공학회지
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    • 제15권3호
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    • pp.46-53
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    • 2010
  • Recently, several open source codes for computational fluid dynamics (CFD) have been introduced and are spreading fast. Our group has chosen the OpenFOAM as a platform to develop our own in-house code. In this brief review, we would like to share the information on the codes and what we have experienced so far. We introduce several features of OpenFOAM, which include the performance compared with commercial packages, estimation for current user population, and our own prospect for future improvement in performance and growth in user population. In addition, we briefly introduce our experience gained in embedding the level set method into the OpenFOAM.

Source 공개 코드 OpenFOAM 소개 (INTRODUCTION TO OPENFOAM: OPEN SOURCE SOFTWARE)

  • 박준권;강관형
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2010년 춘계학술대회논문집
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    • pp.431-436
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    • 2010
  • Recently, several open source codes for computational fluid dynamics (CFD) have been emerged and are spreading fast. Our group has chosen OpenFOAM as a platform to develop our own in-house code. In this paper, we would like to share the information on the codes and what we have experienced so far. We introduce several features of OpenFOAM, which include the performance compared with commercial packages, estimation for current user population and our own prospect for future improvement in performance and growth in user population. In addition, we briefly introduce our experience gained in embedding the level set method into the OpenFOAM.

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