scholarly journals Using R language and open source software architecture to build a high efficient enterprise market integration platform

Author(s):  
Tung-Shou Chen ◽  
Jeanne Chen ◽  
Li-Hsuan Lai
2015 ◽  
Vol 5 (4) ◽  
pp. 24-35 ◽  
Author(s):  
Mamdouh Alenezi ◽  
Fakhry Khellah

Software systems usually evolve constantly, which requires constant development and maintenance. Subsequently, the architecture of these systems tends to degrade with time. Therefore, stability is a key measure for evaluating an architecture. Open-source software systems are becoming progressively vital these days. Since open-source software systems are usually developed in a different management style, the quality of their architectures needs to be studied. ISO/IEC SQuaRe quality standard characterized stability as one of the sub-characteristics of maintainability. Unstable software architecture could cause the software to require high maintenance cost and effort. In this work, the authors propose a simple, yet efficient, technique that is based on carefully aggregating the package level stability in order to measure the change in the architecture level stability as the architecture evolution happens. The proposed method can be used to further study the cause behind the positive or negative architecture stability changes.


2017 ◽  
Vol 7 (2) ◽  
pp. 67-76
Author(s):  
Yongseok Choi ◽  
◽  
Jang-Eui Hong

F1000Research ◽  
2013 ◽  
Vol 2 ◽  
pp. 191 ◽  
Author(s):  
Scott A. Chamberlain ◽  
Eduard Szöcs

All species are hierarchically related to one another, and we use taxonomic names to label the nodes in this hierarchy. Taxonomic data is becoming increasingly available on the web, but scientists need a way to access it in a programmatic fashion that’s easy and reproducible. We have developed taxize, an open-source software package (freely available from http://cran.r-project.org/web/packages/taxize/index.html) for the R language. taxize provides simple, programmatic access to taxonomic data for 13 data sources around the web. We discuss the need for a taxonomic toolbelt in R, and outline a suite of use cases for which taxize is ideally suited (including a full workflow as an appendix). The taxize package facilitates open and reproducible science by allowing taxonomic data collection to be done in the open-source R platform.


Author(s):  
Ahmed Abdulhasan Alwan ◽  
Andres Baravalle ◽  
Mihaela Anca Ciupala ◽  
Paolo Falcarin

2011 ◽  
Vol 204-210 ◽  
pp. 2007-2010
Author(s):  
Xiao Lu Li ◽  
Wen Feng Zheng ◽  
Xun Li ◽  
Dan Wang

In order to explore the method to realize spatial information sharing and integration, in this article we choose REST as spatial information share framework and foundations of software architecture, focus on spatial information service characteristic, construct a REST style framework spatial information sharing model, and evaluate it. And then base on open source software, build up demo system, test the framework’s feasibility. Result turn out to be effective-spatial information sharing base on the REST style can realize spatial information sharing to a certain extent.


F1000Research ◽  
2013 ◽  
Vol 2 ◽  
pp. 191 ◽  
Author(s):  
Scott A. Chamberlain ◽  
Eduard Szöcs

All species are hierarchically related to one another, and we use taxonomic names to label the nodes in this hierarchy. Taxonomic data is becoming increasingly available on the web, but scientists need a way to access it in a programmatic fashion that’s easy and reproducible. We have developed taxize, an open-source software package (freely available from http://cran.r-project.org/web/packages/taxize/index.html) for the R language. taxize provides simple, programmatic access to taxonomic data for 13 data sources around the web. We discuss the need for a taxonomic toolbelt in R, and outline a suite of use cases for which taxize is ideally suited (including a full workflow as an appendix). The taxize package facilitates open and reproducible science by allowing taxonomic data collection to be done in the open-source R platform.


2017 ◽  
Author(s):  
Junjun Zhang ◽  
Bob Tiernay ◽  
Dusan Andric ◽  
Phuong-My Do ◽  
Sid Joshi ◽  
...  

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