Common Programming Environment Research Articles

PROGRAMMING ENVIRONMENTS AS A MEANS OF TEACHING PUPILS TO PROGRAMMING BASICS

The article reveals the conditions for choosing the programming environment as a means of teaching students of the general education school to programming in modern languages. The main conditions that influence the choice of the programming environment are determined: technical characteristics of computers and system requirements of the programming environment; availability of operating systems and additional software required for the functioning of the programming environment; functional of the programming environment; the interface of the programming environment; availability of documentation for the software environment; availability of educational and methodological support; level of competence of the teacher of computer science. The characteristics of the most common programming environments in C / C ++, C #, Java are analyzed. The selection of the programming environment for studying each of the specified programming languages is substantiated for the training of beginning programmers and students who have programming skills.

WikiPathways: capturing the full diversity of pathway knowledge.

WikiPathways (http://www.wikipathways.org) is an open, collaborative platform for capturing and disseminating models of biological pathways for data visualization and analysis. Since our last NAR update, 4 years ago, WikiPathways has experienced massive growth in content, which continues to be contributed by hundreds of individuals each year. New aspects of the diversity and depth of the collected pathways are described from the perspective of researchers interested in using pathway information in their studies. We provide updates on extensions and services to support pathway analysis and visualization via popular standalone tools, i.e. PathVisio and Cytoscape, web applications and common programming environments. We introduce the Quick Edit feature for pathway authors and curators, in addition to new means of publishing pathways and maintaining custom pathway collections to serve specific research topics and communities. In addition to the latest milestones in our pathway collection and curation effort, we also highlight the latest means to access the content as publishable figures, as standard data files, and as linked data, including bulk and programmatic access.

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Very Fast and Correctly Sized Estimation of the BDS Statistic

This paper is concerned with the study of some fundamental aspects of the BDS test. Brock, Dechert, Scheinkman & LeBaron (Econometric Reviews, 1996) propose this non-parametric tool as a test of the null hypothesis of an independently and identically distributed (i.i.d.) time series, with power against virtually all linear and non-linear, stochastic and deterministic (chaotic) alternatives. Unfortunately, it is extremely processing-intensive and requires an efficient computer algorithm to be viably run even on relatively small data sets. An algorithm is presented which is very fast, rather simple and easily implemented in common programming environments; a version for MATLAB is part of the paper. The algorithm overcomes a number of deficiencies of the two most widely used BDS packages by Dechert and LeBaron. Extensive Monte-Carlo simulations are conducted which show that the properties of the BDS statistic are sensitive to the choice of embedding dimension and dimensional distance, and to sample size. Unless the choice parameters are set in accordance with the recommendations emerging from the simulations, a statistical test for iidness is bound to be badly sized on small samples and thus yield misleading conclusions. Tables of the small-sample distribution are offered for correctly sized testing. The recommendations, tabulated quantile values and computer algorithms put forward will hopefully help render the BDS test part of the standard econometric toolbox.

The Trellis programming environment

The Trellis programming environment supports programming in Trellis/Owl, an object-based language with multiple inheritance and compile-time type-checking. Trellis is composed of a number of integrated tools that share a common programming environment database. It is a highly interactive, easy-to-use programming environment, providing various programming aids, incremental compilation, and good debugging support. Trellis is both integrated and open-ended. Trellis was specifically designed to support the object-oriented programming methodology. Thus it provides tools to manage the use of types and inheritance. Trellis takes advantage of the strong-typing features of the Trellis/Owl language to provide more support for the programmer by keeping track of cross-references and inconsistencies in code.

An operating systems programming laboratory course

Some inherent difficuties are present for good exercise and practice in operating systems programming laboratory course. This paper gives a fairly manageable laboratory course plan for programming operating systems (OSs) and a teaching tool which is used in it. The plan enables a prototype operating system as a whole, including the nucleus and multiprogramming mechanism, to be written in high level language. The operating system can run a binary machine program as job program. It is realized through simulation in a common programming environment. Some drawbacks of the plan are discussed and solutions are also given.