The TypeScript programming language adds optional types to JavaScript, with support for interaction with existing JavaScript libraries via interface declarations. Our research has been conducted focusing on case studies concerning pattern recognition and cluster analysis.Ĭhecking Correctness of TypeScript Interfaces for JavaScript Libraries
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In this paper we treat both aspects of integration and interoperability that refer to integrating Java code into R applications, and bringing R processing sequences into Java driven software solutions. Java on the other hand, is a high level object oriented programming language, which supports designing and developing performant and interactive frameworks for general purpose software solutions, through Java Foundation Classes, JavaFX and various graphical libraries. While is a very efficient environment for statistical data processing, R platform lacks support for developing user friendly, interactive, graphical user interfaces (GUIs. R is a comprehensive and concise programming language, benefiting from a continuously expanding and evolving set of packages for statistical analysis, developed by the open source community. Both developing environments are multiplatform oriented, and can complement each other through interoperability. The goal is to combine the intensive data processing capabilities of R programing language, along with the multitude of statistical function libraries, with the flexibility offered by Java programming language and platform, in terms of graphical user interface and mathematical function libraries. Our ongoing research aims to design programming technics for integrating R developing environment with Java programming language for interoperability at a source code level. Integrating R and Java for Enhancing Interactivity of Algorithmic Data Analysis Software Solutionsįull Text Available Conceiving software solutions for statistical processing and algorithmic data analysis involves handling diverse data, fetched from various sources and in different formats, and presenting the results in a suggestive, tailorable manner.
By offering standardized integration contracts, J2EE Platform allows application servers to play a key role in the process of Web integration of the applications. Also, the article shows how the Java 2 Enterprise Edition Platform and architecture helps the Web integration of applications. Previous studies partially solve call graph computationĮnterprise Application Integration Using Java Technologiesĭirectory of Open Access Journals (Sweden)įull Text Available The current article points out some of the tasks and challenges companies must face in order to integrate their computerized systems and applications and then to place them on the Web. Existing IDE support for JavaScript is hampered due to the dynamic nature of the language. HtmlabstractThis thesis consists of a replication study in which two algorithms to compute JavaScript call graphs have been implemented and evaluated. This Short Cut tells you about tools that will improve the quality of your Java code, using checking above and beyond what the standard tools do, including: Using javac options, JUnit and assertions Making your IDE work harder Checking your source code with PMD Checking your compiled code (.class files) with FindBugs Checking your program's run-time behavior with Java PathFinderĮvaluation of Static JavaScript Call Graph Algorithms CI provides useful data on the typical problems found. Described is the approach of this method to support mobile application developers, through the use of an IDE (NetBeans IDE in the context of this research). Supporting mobile applications developer through Java IDE using contextual inquiryįull Text Available ( IDEs) for developing mobile applications. However, advanced tooling is hampered by the dynamic nature of the language, which makes any form of stat. The rapid rise of JavaScript as one of the most popular programming languages of the present day has led to a demand for sophisticated IDE support similar to what is available for Java or C#. Efficient construction of approximate call graphs for JavaScript IDE servicesįeldthaus, Asger Schäfer, Max Sridharan, Manu
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