Recent Trends in Programming languages

Recent Trends in Programming Languages (RTPL) is a journal focused towards the rapid publication of fundamental research papers on all areas of Programming Languages. It's a triannual journal, started in 2014.

eISSN: 2455-1821

Indexed In: DRJI, Journal TOC, Google Scholar

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
All contributions to the journal are rigorously refereed and are selected on the basis of quality and originality of the work. The journal publishes the most significant new research papers or any other original contribution in the form of reviews and reports on new concepts in all areas pertaining to its scope and research being done in the world, thus ensuring its scientific priority and significance.

EDITORIAL BOARD


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Publisher: STM Journals, an imprint of CELNET (Consortium e-Learning Network Pvt. Ltd.)

Address: A-118, 1st Floor, Sector-63, Noida, Uttar Pradesh-201301, India

Phone no.: 0120-4781-221/ Email: sugandha.mishra@celnet.in

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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