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Journal of Software Engineering Tools & Technology Trends

josettt | E-ISSN: 2394-7292 | Peer-Reviewed | Hybrid Open Access

Journal Metrics

Key performance indicators showcasing our journal’s impact and reach

41

Published Articles (2024)

47.17

Days Acceptance Time

103.28

Day Publication Time

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About the Journal

Journal of Software Engineering Tools & Technology Trends Journal of Software Engineering Tools & Technology Trends [2394-7292(e)] is a peer-reviewed hybrid open-access journal launched in 2014 that includes semantic designs and offers software development tools for a wide variety of programming … languages & technology trends.

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Journal of Software Engineering Tools & Technology Trends (JOSETTT): 2394-7292(e) is a peer-reviewed hybrid open-access journal launched in 2014 that includes semantic designs and

Journal Information

Title:
Journal of Software Engineering Tools & Technology Trends
Abbreviation:
JOSETTT
Issues Per Year:
3 Issues (Jan-April,May-August,Sept-Dec)
P-ISSN:
2394-7292
Publisher:
116314
DOI:
10.37591/JOSETTT
Starting Year:
2014
Subject:
Language:
English
Publication Format:
Hybrid Open Access
Copyright Policy:
CC BY-NC-ND
Type:
Peer-reviewed Journal (Refereed Journal)
Address:

Editorial Board

View Full Editorial Board

josettt 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

Prof. Amarjeet Singh, Professor & HOD

Vivekananda Institute of Technology, Jaipur, India,

Email :

Institutional Profile Link:

Journal: Journal of Software Engineering Tools & Technology Trends

Latest Articles

Student Skill Tracker: A Telemetry-Driven Programming Education Platform

The rapid evolution of the software industry has significantly transformed the expectations placed on modern developers.

Student Skill Tracker, Behavioural Learning Analytics, Programming Cognition, Debugging Behaviour Analysis, Compiler Failure Patterns, Autonomous Pedagogical Agents, LangChain4j, Learning Analytics, Full-Stack Educational Platforms.

CogniLeapAI: An Adaptive Personalized Learning Platform with AI-Powered Content Generation, Active Recall, and Intelligent Study Planning

Students today must work through large volumes of academic PDFs with little tooling to support effective learning.

Educational technology, multi-model AI integration, document processing, study material generation, spaced repetition, active recall, AI study agent, personalized learning, predictive analytics

SmartCloud: Extending an AI-Powered Cloud Storage System with Automated S3 Glacier Archiving, SimHash Near-Duplicate Detection, and a Custom-Trained Random Forest Recommendation Engine

Cloud storage services have become fundamental infrastructure for both individuals and organizations, yet they continue to charge users for every byte retained without offering any mechanism to automatically reduce that footprint over time.

S3 Glacier Archiving, SimHash Deduplication, Random Forest, Cloud Storage Optimization, FastAPI Microservice, Brotli Compression, Multi-Cloud, BERT Semantic Search

Decoding Software Success: A Study of Five Engineering Models

Choosing the right software development life cycle (SDLC) model plays a vital role in determining the overall success of a software development project, as it directly affects the planning, execution, quality, and timely delivery of the final product.

Software development life cycle (SDLC), software engineering, Waterfall Model, V-model, incremental model, Spiral model, Agile methodology, comparative analysis, software process models, project management

AI-Powered Prompt-to-Production Platform for Automated React Application Generation and Cloud Deployment

The proliferation of large language models (LLMs) has fundamentally altered the landscape of automated software engineering.

large language models, Code Generation, WebContainers, cloud deployment, automated software engineering, React

An Intelligent Complexity-Performance Tradeoff Model of Asynchronous Random Access Protocols in Distributed Edge Computing Using Software Science with Halstead

The paradigm shift towards Distributed Edge Computing (DEC) has changed the entire world of the Internet of Things (IoT) connectivity to its core and has spawned the need to implement robust Asynchronous Random Access (ARA) protocols to deal with the contention between a huge range of diverse devices that are constrained by their resources.

Random Access Protocols, Halstead’s Metrics, Edge Computing, Software Complexity, Distributed Systems

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