To Fork or Not to Fork

2011 ◽  
Vol 3 (3) ◽  
pp. 1-9 ◽  
Author(s):  
Linus Nyman ◽  
Tommi Mikkonen
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Package ◽  
Source Code ◽  
Original Version ◽  
Development Work ◽  
Software Developers

A project fork occurs when software developers take a copy of source code from one software package and use it to begin an independent development work that is maintained separately. Although forking in open source software does not require the permission of the original authors, the new version competes for the attention of the same developers that have worked on the original version. The motivations developers have for performing forks are many, but in general they have received little attention. The authors present the results of a study of forks performed in SourceForge (http://sourceforge.net/) and list the developers’ motivations for their actions.

To Fork or Not to Fork

2013 ◽  
pp. 142-150 ◽  
Author(s):  
Linus Nyman ◽  
Tommi Mikkonen
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Package ◽  
Source Code ◽  
Original Version ◽  
Development Work ◽  
Software Developers

A project fork occurs when software developers take a copy of source code from one software package and use it to begin an independent development work that is maintained separately. Although forking in open source software does not require the permission of the original authors, the new version competes for the attention of the same developers that have worked on the original version. The motivations developers have for performing forks are many, but in general they have received little attention. The authors present the results of a study of forks performed in SourceForge (http://sourceforge.net/) and list the developers’ motivations for their actions.

Motivation of Open Source Developers

2011 ◽  
pp. 233-249
Author(s):  
Mark R. Allyn ◽  
Ram B. Misra
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Organizational Design ◽  
Source Code ◽  
Software Developers ◽  
Open Source Code ◽  
And Performance ◽  
The Many ◽  
And Control ◽  
Work Done

The motivational drivers of open source software developers have been researched by various investigators since about 2000. This work shows that developers are motivated by different extrinsic and intrinsic drivers, among them community aspirations, reciprocity and fairness, creative impulses, and monetary and career ambitions. There has been some work done in studying whether the profile of developer motivations is constant across open source projects or is sensitive to project organizational design. Among the many factors that could influence the mix of motives of OS developers is the license under which the work is performed. Licenses range in openness between those such as the GNU GPL that severely restrict the freedom of developers to mingle their OS code with proprietary code to those such as BSD licenses which allow programmers much greater latitude in integrating open source code with proprietary code. In addition to formal rules, meritocracies emerge to reward effort and performance, and also to direct, coordinate, and control other participants. The authors discuss these variables and how they may be related to motivations.

scholarly journals Evaluation indicators for open-source software: a review

Cybersecurity ◽  
2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Yuhang Zhao ◽  
Ruigang Liang ◽  
Xiang Chen ◽  
Jing Zou
Keyword(s):  
Supply Chain ◽  
Comparative Analysis ◽  
Open Source ◽  
Open Source Software ◽  
Source Code ◽  
Comprehensive Understanding ◽  
Security Risks ◽  
Software Developers ◽  
Security Vulnerabilities ◽  
The Past

AbstractIn recent years, the widespread applications of open-source software (OSS) have brought great convenience for software developers. However, it is always facing unavoidable security risks, such as open-source code defects and security vulnerabilities. To find out the OSS risks in time, we carry out an empirical study to identify the indicators for evaluating the OSS. To achieve a comprehensive understanding of the OSS assessment, we collect 56 papers from prestigious academic venues (such as IEEE Xplore, ACM Digital Library, DBLP, and Google Scholar) in the past 21 years. During the process of the investigation, we first identify the main concerns for selecting OSS and distill five types of commonly used indicators to assess OSS. We then conduct a comparative analysis to discuss how these indicators are used in each surveyed study and their differences. Moreover, we further undertake a correlation analysis between these indicators and uncover 13 confirmed conclusions and four cases with controversy occurring in these studies. Finally, we discuss several possible applications of these conclusions, which are insightful for the research on OSS and software supply chain.

scholarly journals D-GENIES : Dot plot large GENomes in an interactive, efficient and simple way

2018 ◽  
Author(s):  
Floréal Cabanettes ◽  
Christophe Klopp
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Package ◽  
Web Application ◽  
Source Code ◽  
Input Sequence ◽  
Image Alignment ◽  
Large Genome ◽  
Open Source Software Package ◽  
Large Genomes

Dot plots are widely used to quickly compare sequence sets. They provide a synthetic similarity overview, highlighting repetitions, breaks and inversions. Different tools have been developed to easily generated genomic alignment dot plots, but they are often limited in the input sequence size. D-GENIES is a standalone and WEB application performing large genome alignments using minimap2 software package and generating interactive dot plots. It enables users to sort query sequences along the reference, zoom in the plot and download several image, alignment or sequence files. D-GENIES is an easy to install open source software package (GPL) developed in Python and JavaScript. The source code is available at https://github.com/genotoul-bioinfo/dgenies and it can be tested at http://dgenies.toulouse.inra.fr/.

scholarly journals D-GENIES : Dot plot large GENomes in an interactive, efficient and simple way

2018 ◽  
Author(s):  
Christophe Klopp ◽  
Floréal Cabanettes
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Package ◽  
Web Application ◽  
Source Code ◽  
Input Sequence ◽  
Image Alignment ◽  
Large Genome ◽  
Open Source Software Package ◽  
Large Genomes

Dot plots are widely used to quickly compare sequence sets. They provide a synthetic similarity overview, highlighting repetitions, breaks and inversions. Different tools have been developed to easily generated genomic alignment dot plots, but they are often limited in the input sequence size. D-GENIES is a standalone and WEB application performing large genome alignments using minimap2 software package and generating interactive dot plots. It enables users to sort query sequences along the reference, zoom in the plot and download several image, alignment or sequence files. D-GENIES is an easy to install open source software package (GPL) developed in Python and JavaScript. The source code is available at https://github.com/genotoul-bioinfo/dgenies and it can be tested at http://dgenies.toulouse.inra.fr/.

scholarly journals D-GENIES: dot plot large genomes in an interactive, efficient and simple way

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e4958 ◽  
Author(s):  
Floréal Cabanettes ◽  
Christophe Klopp
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Package ◽  
Web Application ◽  
Source Code ◽  
Input Sequence ◽  
Image Alignment ◽  
Large Genome ◽  
Open Source Software Package ◽  
Large Genomes

Dot plots are widely used to quickly compare sequence sets. They provide a synthetic similarity overview, highlighting repetitions, breaks and inversions. Different tools have been developed to easily generated genomic alignment dot plots, but they are often limited in the input sequence size. D-GENIES is a standalone and web application performing large genome alignments using minimap2 software package and generating interactive dot plots. It enables users to sort query sequences along the reference, zoom in the plot and download several image, alignment or sequence files. D-GENIES is an easy-to-install, open-source software package (GPL) developed in Python and JavaScript. The source code is available at https://github.com/genotoul-bioinfo/dgenies and it can be tested at http://dgenies.toulouse.inra.fr/.

Software Source Code Plagiarism and Direction Detection Based on PDG

2013 ◽  
Vol 373-375 ◽  
pp. 1172-1177
Author(s):  
Bo Shu ◽  
Xiao Jun Du
Keyword(s):  
Software Development ◽  
Open Source ◽  
Open Source Software ◽  
Process Design ◽  
Source Code ◽  
Detection Algorithm ◽  
Plagiarism Detection ◽  
Software Developers ◽  
Development Cycle ◽  
Direction Detection

Because of the complexity of the software development, some software developers may plagiarize source code that comes from other projects or open source software in order to shorten development cycle. Usually the copyist would modify and disguise the source code copied to escape plagiarism detection. So far, most algorithms cant completely detect the source disguised by the copyist, especially cant exactly distinguish between the source code and the plagiaristic code. In this paper, we summarize and analyze the effect of disguised source to the detection process, design the strategy to remove the effect of disguised source, and propose a PDG-based software source code plagiarism detection algorithm. The algorithm can detect the existence of disguised source, so as to find out source code plagiarism. And we propose a heuristic rule to make the detection algorithm have the ability to give the plagiarism direction. Any existing algorithm does not have this function. We prove the availability of the algorithm by experiment.

scholarly journals DMOSS: Open source software documentation assessment

2014 ◽  
Vol 11 (4) ◽  
pp. 1197-1207 ◽  
Author(s):  
Nuno Carvalho ◽  
Alberto Simões ◽  
José Almeida
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Package ◽  
Source Code ◽  
Development Stage ◽  
Software Ecosystem ◽  
Software Documentation ◽  
Software Packages ◽  
Source Of Information

Besides source code, the fundamental source of information about open source software lies in documentation, and other non source code files, like README, INSTALL, or How-To files, commonly available in the software ecosystem. These documents, written in natural language, provide valuable information during the software development stage, but also in future maintenance and evolution tasks. DMOSS3 is a toolkit designed to systematically assess the quality of non source code content found in software packages. The toolkit handles a package as an attribute tree, and performs several tree traverse algorithms through a set of plugins, specialized in retrieving specific metrics from text, gathering information about the software. These metrics are later used to infer knowledge about the software, and composed together to build reports that assess the quality of specific features. This paper discusses the motivations for this work, continues with a description of the toolkit implementation and design goals. This is followed by an example of its usage to process a software package, and the produced report.

scholarly journals Membangun Swadaya Free Open Source Editing Film Kdenlive Bagi Siswa Sekolah Menengah Kejuruan 1 Kabupaten Sorong

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Raditya Faisal Waliulu ◽  
Muhammad Syahrul Kahar
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Student Involvement ◽  
Source Code ◽  
Original Version ◽  
Free Open Source Software ◽  
Closed Source ◽  
Free Open Source

  Acronym FOSS is a free open source software. The FOSS program is a license that allows users to run the program freely for any purpose, modify the program as desired and also distribute copies of the original version or modified version freely, which is why select open source from closed source. Closed-source software is sometimes pressed to build in the background or other unwanted and secret features into the software. Instead of having to trust users of FOSS software vendors can check and verify the source code itself and can put trust in the community of volunteers and users. FOSS is not equivalent to priceless software, it's more like a command for open-source software with freedom granted at various levels (depending on license). For this, the license does not need to be included in the list, If the software follows the Open Source command and the license is compatible then at least one of the Open Source licenses. Student involvement in SMK Negeri 1 Kabupaten Sorong is the best place to give advice about FOSS because it is one of the favorite schools in Sorong regency.  

THE TECHNOLOGY OF DETECTION INFORMATION ABOUT VULNERABILITY IN THIRD-PARTY OPEN SOURCE SOFTWARE

2020 ◽  
pp. 347-364
Author(s):  
Алексей Леонидович Сердечный ◽  
Игорь Васильевич Герасимов ◽  
Олег Юрьевич Макаров ◽  
Юрий Геннадьевич Пастернак ◽  
Николай Михайлович Тихомиров ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Open Source ◽  
Open Source Software ◽  
Rapid Detection ◽  
Source Code ◽  
Third Party ◽  
Version Control ◽  
Software Developers ◽  
Open Source Code

В статье приведены результаты разработки технологии выявления сведений об уязвимостях сторонних компонентов программного обеспечения (ПО), позволяющей своевременно обнаруживать проблемы безопасности, связанные с использованием заимствованных компонентов с открытым исходным кодом. Технология отличается процедурами оперативного обнаружения, ранжирования и подтверждения достоверности первоисточников сообщений о таких проблемах. Разработанная технология основана на проведении сбора и семантического анализа сведений об ошибках и средствах (алгоритмах) эксплуатации уязвимостей ПО, содержащихся в сообщениях, публикуемых на информационных ресурсах разработчиков ПО с открытым исходным кодом. Технология включает процедуру подтверждения сведений о наиболее опасных уязвимостях с последующей оценкой рисков для подтверждённых уязвимостей. В статье также приводятся результаты реализации предлагаемой технологии в виде средства сбора и интерактивного анализа сообщений о ошибках в ПО с открытым исходным кодом, размещаемым на платформах для совместной разработки GitHub и GitLab. Технология выявления сведений об уязвимостях сторонних компонентов позволяет повысить защищённость ПО, использующего в своём составе общедоступные компоненты с открытым исходным кодом. The article presents the results of the development the technology of detection information about vulnerability in third-party open source software, which allows timely detection of security problems associated with the use of borrowed components provided with open source code. The technology is characterized by procedures for rapid detection, ranking, and confirmation of the authenticity sources of primary reports about such problems. The technology is based on collecting and mining information about bugs, vulnerabilities and exploits contained in messages that published in sources of open source software developers. The technology includes a procedure for confirming information about the most dangerous vulnerabilities, followed by a risk assessment for confirmed vulnerabilities. The article also presents the results of implementing the proposed technology as a tool for collecting and interactively analyzing bug messages in open source software hosted on the GitHub and GitLab collaborative version control platforms. The technology for detecting information about vulnerabilities of third-party components allows you to increase the security of software that uses publicly available open source components.

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