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Recent Trends in Programming languages Cover

Recent Trends in Programming languages

E-ISSN: 2455-1821 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

Recent Trends in Programming languages [2455-1821(e)] is a peer-reviewed hybrid open-access journal launched in 2014 that has always been influenced by programming paradigms, which in turn have been characterized by general computing trends. Several less common paradigms in programming languages, such as declarative or functional programming, emphasize high levels of expressiveness.

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Journal Information

Title: Recent Trends in Programming languages
Abbreviation: rtpl
Issues Per Year: 3 Issues
E-ISSN: 2455-1821
Publisher: STM Journals
DOI: 10.37591/RTPL
Starting Year: 2014
Subject: Programming languages
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

View Full Editorial Board

rtpl maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Debnath Bhattacharyya, Professor and Head

Vignan’s Institute of Information Technology, Andhra Pradesh, India,

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Latest Articles

Ahead of Print

Encoder-Decoder Based Fine-Tuned Model for Code Doubt Solver

As we are growing in technology, more technologically skilled persons are needed in industry.

Encoder-decoder transformer, code generation, program repair, fine-tuning, natural language to code (NL2Code)

Leveraging Generative AI for Test Case Creation in Complex Systems

Modern software systems exhibit increasing complexity, demanding sophisticated testing methodologies to ensure reliability and functionality.

Generative AI, test data, complex systems, software testing, generative adversarial networks (GAN), variable autoencoders (VAE), transformers, model training, data collection, program extension, efficiency, adaptability, verification, integration, edge cases, error detection, user reporting, system logging, workflow evaluation, hybrid model, automatic verification

MentaLLaMA: Advancing Mental Health Insights with Instruction-Finetuned Large Language Models

The growing prevalence of mental health challenges in contemporary society has highlighted the urgent need for advanced, interpretable, and reliable artificial intelligence solutions that can support mental health assessment and intervention.

Mental health analysis, large language models (LLMs), instruction tuning, multi-task learning, fine-tuning strategies, generalizability in AI, domain-specific AI models, open-source mental health tools

Methodology for Evaluating Code Synthesis in Large Language Models: ChatGPT and Copilot: A Review

The authors introduce a comprehensive framework to assess the code-generation capabilities of large language models, focusing on ChatGPT and Copilot through a benchmark suite of 25 program synthesis tasks.

Code generator, LLM, ChatGPT, CoPilot, software development

Continuous Learning in Language Models: A Survey of Streaming Data Processing Techniques

The integration of continual learning with Large Language Models (LLMs) and Natural Language Processing (NLP) represents a transformative step toward creating adaptive, intelligent systems capable of functioning effectively in ever-changing environments.

Continual learning, lifelong learning, large language models, natural language processing, streaming data, real-time text processing, data preprocessing, neuroplasticity, information literacy, adaptive AI systems

Evolution of CSS Frameworks: From Bootstrap to Utility-First Design

CSS frameworks have become integral to modern web development, offering developers predefined styles and components that simplify the design process, ensure visual consistency, and accelerate deployment.

CSS frameworks, responsive design, bootstrap, tailwind CSS, Utility-First CSS, web development