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What can we learn from quality assurance badges in open-source software?

Science China(Information Sciences) 2024年第4期67卷 146-163页

作者： Feng LI Yiling LOU Xin TAN Zhenpeng CHEN Jinhao DONG Yang LI Xuanzhi WANG Dan HAO Lu ZHANG MoE Key Lab of HCST School of Computer SciencePeking University Department of Computer Science Purdue University School of Computer Science & Engineering Beihang University(BUAA) Department of Computer Science University College London(UCL)

In the development of open-source software(OSS), many developers use badges to give an overview of the software and share some key features/metrics conveniently. Among various badges, quality assurance(QA) badges make up a large proportion and are the most prevalent because QA is of vital importance in software development, and ineffective QA may lead to anomalies or defects. In this paper, we focus on QA badges in open-source projects, which present quality assurance information directly and instantly,and aim to produce some interesting findings and provide practical implications. We collect and analyze 100000 projects written in popular programming languages from GitHub and conduct a comprehensive empirical study both inside and outside QA badges. Inside QA badges, we build a category classification for all QA badges based on the properties they focus on, which shows the types of QA badges developers use. Then,we analyze the frequency of the properties that QA badges focus on, and property combinations, too, which present their use status. We find that QA badges focus on various properties while developers give different preferences to different properties. The use status also differs between different programming languages. For example, projects written in C focus on Security to a great extent. Our findings also provide implications for developers and badge providers. Outside QA badges, we conduct a correlation analysis between QA badges and some software metrics that have potential relationships with code quality, contribution quality, and popularity. We find that QA badges have statistically significant correlations with various software metrics.

关键词： quality assurance badge open-source software code quality empirical study

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software Metric Analysis of open-source Business software

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Journal of software Engineering and Applications 2023年第5期16卷 144-153页

作者： Charles W. Butler Department of Computer Information Systems Colorado State University Fort Collins USA

Over the past decade, open-source software use has grown. Today, many companies including Google, Microsoft, Meta, RedHat, MongoDB, and Apache are major participants of open-source contributions. With the increased use of open-source software or integration of open-source software into custom-developed software, the quality of this software component increases in importance. This study examined a sample of open-source applications from GitHub. Static software analytics were conducted, and each application was classified for its risk level. In the analyzed applications, it was found that 90% of the applications were classified as low risk or moderate low risk indicating a high level of quality for open-source applications.

关键词： open-source software software Quality software Risks Cyclomatic Complexity Essential Complexity Module Design Complexity Design Complexity Integration Complexity Local Data Complexity Public Global Data Complexity Parameter Data Complexity Risk Score Risk Classification

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CBE Clima Tool:A free and open-source web application for climate analysis tailored to sustainable building design

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Building Simulation 2024年第3期17卷 493-508页

作者： Giovanni Betti Federico Tartarini Christine Nguyen Stefano Schiavon Center for the Built Environment University of California BerkeleyBerkeleyUSA Berkeley Education Alliance for Research in Singapore SingaporeSingapore Heat and Health Research Incubator Faculty of Medicine and HealthThe University of SydneyCamperdownAustralia College of Letters and Sciences University of California BerkeleyBerkeleyUSA

Climate-responsive building design holds immense potential for enhancing comfort,energy efficiency,and environmental sustainability.However,many social,cultural,and economic obstacles might prevent the wide adoption of designing climate-adapted buildings.One of these obstacles can be removed by enabling practitioners to easily access,visualize and analyze local climate data.The CBE Clima Tool(Clima)is a free and open-source web application that offers easy access to publicly available weather files and has been created for building energy simulation and design.It provides a series of interactive visualizations of the variables contained in the EnergyPlus Weather Files and several derived ones like the UTCI or the adaptive comfort indices.It is aimed at students,educators,and practitioners in the architecture and engineering fields.Since its inception,Clima’s user base has exhibited robust growth,attracting over 25,000 unique users annually from across 70 countries.Our tool is poised to revolutionize climate-adaptive building design,transcending geographical boundaries and fostering innovation in the architecture and engineering fields.

关键词： architectural design climate analysis sustainable building design web application building energy simulation open-source software

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Graph Convolutional Network-Based Repository Recommendation System

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Computer Modeling in Engineering & Sciences 2023年第10期137卷 175-196页

作者： Zhifang Liao Shuyuan Cao Bin Li Shengzong Liu Yan Zhang Song Yu School of Computer Science and Engineering Central South UniversityChangshaChina School of Information Technology and Management Hunan University of Finance and EconomicsChangshaChina School of Engineering and Built Environment Glasgow Caledonian UniversityGlasgowUK

GitHub repository recommendation is a research hotspot in the field of open-source software. The current problemswith the repository recommendation systemare the insufficient utilization of open-source community informationand the fact that the scoring metrics used to calculate the matching degree between developers and repositoriesare developed manually and rely too much on human experience, leading to poor recommendation results. Toaddress these problems, we design a questionnaire to investigate which repository information developers focus onand propose a graph convolutional network-based repository recommendation system (GCNRec). First, to solveinsufficient information utilization in open-source communities, we construct a Developer-Repository networkusing four types of behavioral data that best reflect developers’ programming preferences and extract features ofdevelopers and repositories from the repository content that developers focus on. Then, we design a repositoryrecommendation model based on a multi-layer graph convolutional network to avoid the manual formulation ofscoringmetrics. Thismodel takes the Developer-Repository network, developer features and repository features asinputs, and recommends the top-k repositories that developers are most likely to be interested in by learning theirpreferences. We have verified the proposed GCNRec on the dataset, and by comparing it with other open-sourcerepository recommendation methods, GCNRec achieves higher precision and hit rate.

关键词： Repository recommendation graph convolutional network open-source software GitHub

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The global climate monitor system:from climate data-handling to knowledge dissemination

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International Journal of Digital Earth 2019年第4期12卷 394-414页

作者： Juan Mariano Camarillo-Naranjo José Ignacio Álvarez-Francoso Natalia Limones-Rodríguez María Fernanda Pita-López Mónica Aguilar-Alba Department of Physical Geography and Regional Analysis University of SevilleSevilleSpain Department of Human Geography University of SevilleSevilleSpain

This paper summarizes our work on building a data model and a geovisualization tool that provides access to global climate data:the Global Climate Monitor Web Viewer.Linked to this viewer,a complete set of climate-environmental indicators capable of displaying climate patterns on a global scale that is accessible to any potential user(scientists and laypeople)will be built and published using the same online application.The data currently available correspond to the CRU TS3.21 version of the Climate Research Unit(University of East Anglia)database–a product that provides data at a spatial resolution of half of a degree in latitude and longitude,spanning January 1901 to December 2012,on a monthly basis.Since January 2013,the datasets feeding the system have been the GHCN-CAMS temperature dataset and the Global Precipitation Climatology Centre(GPCC)First Guess precipitation dataset.Climatologists,hydrologists,planners and non-experts users such as media workers,policymakers,non-profit organizations,teachers or students,can access useful climatological information through the Global Climate Monitor system.

关键词： Geovisualization climate indicators global climate databases open-source software

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Mapping the Flood Risk Exposure Using open-source Geospatial Tools and Techniques: A Case of Gampaha Divisional Secretariat Division, Sri Lanka

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Journal of Geoscience and Environment Protection 2022年第10期10卷 18-31页

作者： Sundaralingam Suthakaran Sauri Jayakody Shyamantha Subasinghe Nileesha Seneviratne Ranjith Alahakoon Department of Geography Faculty of Arts and Culture Eastern University Chenkaladi Sri Lanka Department of Town and Country Planning Faculty of Architecture University of Moratuwa Moratuwa Sri Lanka Department of Geography Faculty of Arts University of Peradeniya Peradeniya Sri Lanka Disaster Management Center Nuwara Eliya Sri Lanka

The use of open-source data and tools in disaster exposure mapping is presented in this paper. Disaster exposure is a collection of the element at risk to potential loss. Gampaha divisional secretariat (DS) is a study area laid on the lower part of the Attanagalu Oya river basin. As the geospatial tools, openStreetMap (OSM), Java openStreetMap (JOSM), QGIS, GPS Essentials, and open Map Kit (OMK) are used. The elements of disaster exposure, including the number of people or types of assets, are surveyed and inventoried using the OSM platforms. Local, national, and international agencies produce and evaluate the data. The study developed spatial data for building footprints of 165,000 households, street lengths of 2300 km, hospital units of 16, and utility units of 2300. This could overcome the main challenges of exposure mapping in the area. The procedure developed in the exposure mapping can be used in a data-sparse environment. Exposure mapping is generally used to estimate the impact of hazards or disasters, which are essential in effective disaster management. How are there still remaining challenges in disaster exposure mapping such as less awareness about the mapping procedure, lack of government support, internet access, hardware, and inability to understand the value of exposure mapping?

关键词： Spatial Data Disaster Management Exposure Mapping open-source software

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Copyright licenses: a comparative study between Android and Microsoft Office

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校园英语 2018年第28期 252-253页

作者： Zhang Mingyu Xi’an International Studies University School of Translation Studies

It is not difficult to find that when downloading a software and ready to use, a pop-up window appears. The contents of the pop-up window are some terms of use agreement. Clicking on "agree" means reaching an agreement with developer of the software. In a traditional sense, the agreement is like a contract between the developer and the user. Professionally, it is the software developer that agrees the users to use its software, which is called "authorized". In terms of licensing, the situation of different software is not the same. The most common is that some software are free to download, while some need to pay for download.

关键词： authorized copyright licenses license agreement open-source software closed-source software

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