Recent Trends in Programming languages

ISSN Number: 2455-1821

Recent Trends in Programming Languages (RTPL) is a print and e-journal focused towards the rapid publication of fundamental research papers on all areas of Programming Languages.

Trends in programming languages have always been influenced by programming paradigms, which in turn have been characterized by general computing trends. there are several less common paradigms in programming languages such as declarative or functional programming that focuses on high expressiveness.

Focus & Scope:

  • High - Level programming languages
  • Data Representation, Data Abstraction, Procedure activation
  • Programming Language C
  • IF- - THEN - ELSE, SWITCH, WHILE, FOR, DO
  • Parameter passing, Pointers, Arrays, Structures, C-Library
  • Program transformation techniques
  • Functional programming in different application areas: security, mobility, telecommunications applications, embedded systems, global computing, grids, etc.
  • Debugging for functional languages
  • Interoperability with imperative programming languages
  • Functional programming and multicourse / many core computing
  • Programming Language Implementation
  • Programming Languages for Concurrency
  • Runtime Techniques for Programming Languages
  • Static and Dynamic Program Analysis
  • Software Model Checking

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Announcements

 

CALL FOR PAPERS

 
Invitation for Research & Review Articles for journal of recent trends in programming languages  
Posted: 2013-10-16 More...
 
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Vol 6, No 2 (2019)

Open Access Open Access  Restricted Access Subscription Access

Table of Contents

Research Articles

A Robust Automatic Algorithm for Extraction of Blood Vasculatures from Retinal Images PDF
Nishant Jain, Varun Gupta, Shalini Sah 1-8
Imputing Missing Data Analysis in Web Service Quality Dataset for Improving QoS Prediction PDF
Gaurav Raj, Manish Mahajan, Dheerendra Singh, Anjali Singh 9-23
Regression Analysis of Research Data using R Programming PDF
Yagyanath Rimal 46-54
Machine Learning Cluster Analysis for Large Categorical Data Using R Programming PDF
Yagyanath Rimal 24-35


ISSN: 2455-1821