The authors present a description of the Nucleonica web-based portal for simulation and analysis for a wide range of commonly encountered nuclear science applications. International Nuclear Information System (INIS) JANETTER SQLITE SOFTWAREWeb-based software tools for simulation and analysis The tool enables the teaching, adoption, and research of Essence in controlled experiments and case studies. SematAcc permits the use of Essence, thus helping to understand it. SEMAT Accelerator (SematAcc is a Web-positioning tool for a software engineering endeavor, which implements the SEMAT’s Essence kernel. The reasons for this include a struggle to foresee its utilization potential and a lack of tools for implementation. However, Essence is far from reaching academic- and industry-wide adoption. The goal of Essence is to develop a theoretically sound basis for software engineering practice and its wide adoption. The Essence Theory of software engineering (Essence has been proposed by the Software Engineering Methods and Theory (SEMAT initiative. Ī Web-based modeling tool for the SEMAT Essence theory of software engineeringįull Text Available As opposed to more mature subjects, software engineering lacks general theories that establish its foundations as a discipline. JANETTER SQLITE FREESDMdata is available online free of charge from. It is an open source software (GNU Affero General Public License/AGPL licensed allowing anyone to access and manipulate the source code. Here, we use Python to develop a web-based software tool (SDMdata to easily collect occurrence data from the Global Biodiversity Information Facility (GBIF and check species names and the accuracy of coordinates (latitude and longitude. There is a need for a powerful software tool to automatically or semi-automatically assist in identifying and correcting errors. SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records.ĭirectory of Open Access Journals (Sweden)įull Text Available It is important to easily and efficiently obtain high quality species distribution data for predicting the potential distribution of species using species distribution models (SDMs.
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