All articles
26 articles
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The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment
Abstract: Artificial intelligence (AI) is increasingly reshaping mental health care by supporting early identification of mental health conditions, improving diagnostic accuracy, and enabling personalized intervention strategies for disorders such as depression, anxiety, and post-traumatic stress disorder. Advanced AI technologies, including machine learning algorithms and natural language processing techniques, allow analysis of large-scale behavioral, textual, and speech-based data to identify patterns related to emotional and cognitive health. These tools help clinicians make …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 Read article
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AI-Assisted Code Generation: Integrating Natural Language Models with Compiler Frameworks for Enhanced Software Development
Abstract: The rapid evolution of Artificial Intelligence (AI) has profoundly transformed contemporary software engineering practices, particularly through the emergence of AI-assisted code generation driven by large-scale natural language models (NLMs). These models, trained on extensive repositories of source code and technical documentation, enable developers to generate, modify, refactor, and optimize source code directly from natural language instructions, thereby significantly reducing manual coding effort and accelerating overall software development cycles. By allowing …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment
Abstract: Artificial intelligence (AI) is increasingly reshaping mental health care by supporting early identification of mental health conditions, improving diagnostic accuracy, and enabling personalized intervention strategies for disorders such as depression, anxiety, and post-traumatic stress disorder. Advanced AI technologies, including machine learning algorithms and natural language processing techniques, allow analysis of large-scale behavioral, textual, and speech-based data to identify patterns related to emotional and cognitive health. These tools help clinicians make …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 22–26 Read article
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A Machine Learning Framework for Fake News Detection Using Embeddings and Dimensionality Reduction
Abstract: The broad sharing of information throughout human history was greatly accelerated by the emergence of the World Wide Web and the swift rise of social networking platforms such as Facebook and Twitter. Due to the extensive use of social media, users now generate and distribute vast amounts of content at an unprecedented rate, and a portion of this information is inaccurate or detached from factual reality. Automatically classifying a written …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 8–14 Read article
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A Secured Check-In and Check-Out System Using Private Key Authentication and QR Code Verification Techniques for Daycare Management
Abstract: The safety and security of children in daycare centers remain a critical concern for parents and caregivers. Child daycare centers play a fundamental role in providing a safe and nurturing environment for children while their parents or guardians engage in work and other responsibilities. However, ensuring the safety and security of children in these facilities remains a major concern, particularly in monitoring drop-offs and pick-ups to prevent unauthorized access and …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 27–40 Read article
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Hybrid Evolutionary Algorithm for Automated Test Case Generation in Large-Scale Software Systems
Abstract: Automated test case generation is a crucial activity for ensuring the reliability, robustness, and quality of large-scale software systems. Conventional test generation techniques often face significant challenges in handling scalability, achieving high code coverage, and adapting to complex and heterogeneous software architectures. Evolutionary algorithms have emerged as effective solutions, capable of exploring large search spaces and generating test suites with improved coverage and fault detection capabilities. However, individual evolutionary strategies, …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 15–21 Read article
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Cloud Computing-Based Software Testing
Abstract: For decades, the software testing laboratory was a bottleneck – a physical anchor holding back the velocity of digital innovation. Testers grappled with environment provisioning delays, infrastructure costs, and the ultimate frustration: lacking the muscle to simulate true production-level scale. The paradigm shift towards cloud computing has revolutionized software deployment and scalability, yet it introduces unique complexities for ensuring application quality and reliability. Traditional testing methodologies, often monolithic and resource-intensive, …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 2, 2025 · pp. 18–26 Read article
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Redefining Land Ownership: A Blockchain-Powered Framework for Transparent and Decentralized Land Record Governance
Abstract: Conventional land record management systems have long suffered from issues, such as inefficiency, data manipulation, corruption, and lack of transparency, which collectively hinder effective governance and erode public trust. This paper introduces a blockchain-based framework aimed at revolutionizing land record management by ensuring enhanced transparency, data security, and operational efficiency. The proposed system leverages the decentralized and immutable nature of blockchain technology to eliminate the need for intermediaries, thereby minimizing …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 2, 2025 · pp. 27–39 Read article
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Improved Programming Model Using AI: Shifting from Imperative Coding to Declarative Intent
Abstract: The contemporary software development lifecycle is burdened by significant cognitive friction, characterized by high demands for syntax recall, boilerplate management, and painstaking manual debugging. This paper proposes and examines a novel programming model built upon deeply embedded artificial intelligence, moving beyond simple code completion tools to establish a truly intent-based, declarative development environment. The proposed model leverages specialized large language models and domain-specific generative agents (Cognitive Programming Assistants, or CPAs) …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 2, 2025 · pp. 1–9 Read article
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Methodology for Error Analysis and Localization in Web Application Testing
Abstract: This article introduces a structured and systematic approach to analyzing and localizing errors in modern web applications through an in-depth examination of logs collected at multiple system levels. The proposed methodology emphasizes a clear, step-by-step analysis strategy that guides developers and testers in identifying the source of application failures with greater precision and efficiency. It combines theoretical principles with practical recommendations, offering detailed guidance on how to handle different categories …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 2, 2025 · pp. 40–50 Read article
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SaaS Multi-Model Integration: A Comprehensive Student Companion
Abstract: The “SaaS Multi-Model Integration” paper addresses the challenges faced by students in accessing timely, personalized, and cost-effective academic assistance. Individual large language model chatbots excel in specific areas – academic reasoning, mathematical problem-solving, or general queries – but their fragmented nature forces students to subscribe to multiple services, leading to wasted time, money, and effort, particularly during urgent academic needs. This paper consolidates the strengths of widely used large language …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 2, 2025 · pp. 10–17 Read article
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Fintech Innovations and Their Impact on Global Markets
Abstract: Financial technology (fintech) is revolutionizing the global financial sector by improving efficiency, inclusivity, and transparency. By integrating technology with financial services, fintech innovations, such as blockchain, artificial intelligence (AI), digital wallets, and peer-to-peer lending are challenging conventional systems. These advancements not only increase the accessibility of financial services for underserved communities but also provide unmatched convenience to consumers and businesses globally. Blockchain, one of the most significant innovations, has transformed …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 1–5 Read article
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Climate Change Modeling Using Machine Learning and Big Data
Abstract: Climate change is now one of the biggest issues that affect the world today and studying its impacts for it is very significant in enabling the formulation of social policies. This paper also discusses how climate sciences, machine learning, and big data analytics can greatly help in the improvement of the current capacities in climate modeling. Explaining the methods of climate modeling, we look at how the big data offers …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 6–11 Read article
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Theory, Concepts, Recent Advances, and an Example of Implementing Blockchain Technology
Abstract: Recently, the Blockchain technique has gained significant attention and is being increasingly adopted across various sectors. Blockchain is fundamentally a sequence of interconnected blocks, each storing essential information. This technology operates as a secure, distributed ledger that allows anyone to access and verify the data stored within it, ensuring transparency and trust. This paper provides a comprehensive overview of Blockchain technology, explaining its core concept, underlying principles, communication protocols, and …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 12–19 Read article
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Access Management in Compliance: Navigating GDPR, HIPAA, and Beyond
Abstract: Access management is a critical component in firms wishing to abide by strict data protection standards, like the GDPR and HIPAA, but this paper access management regulation requirement in a more contextualized manner regarding GDPR and HIPAA, ending with the recommendation of an overall framework to enforce compliance. It provides best practices regarding data access, user authentication, and monitoring strategies that correspond to changing demands for such regulations. The paper …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 20–28 Read article
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Legal Ease: An End-to-End Automated Legal Document Processing System Using LLMs and OCR
Abstract: This paper describes an automated legal document processing system that uses modern technologies, such as Large Language Models (LLMs) and Optical Character Recognition (OCR). Designed to streamline legal procedures, the system allows users to submit legal documents in PDF format and uses Tesseract-powered OCR to extract and digitize text while keeping the document’s layout and structure. The digitized text is processed by an LLM that has been fine-tuned using legal …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 29–32 Read article
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Smart Codes E-learning Website
Abstract: This paper introduces a sponsored e-learning website that can be used to learn educational stubs like web development and technologies required for artificial intelligence. The aim of this research is to create a user-friendly e-learning website for the sponsor. This website is designed to be well structured and easy to navigate. As technology is increasing in the web development as well as in artificial intelligence, they show a platform to …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 15–21 Read article
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Resource Allocation Optimization in Cloud Services: Evaluating Task Scheduling and VM Placement Techniques
Abstract: Cloud computing has emerged as a promising computing paradigm to provide scalable quality of service, enabled services that are delivered over the internet. The infrastructure as a service model depends heavily on virtualization, which is the vital concept for centralized resource allocation in cloud computing. Resource allocation in cloud computing is basically performed through with the help of task scheduling as well virtual machine placement. Cloud service provider selects correct …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 6–14 Read article
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Forecasting Trends in the Stock Market by Using Deep Learning Approaches
Abstract: Accurately predicting stock market trends remains a significant challenge in the field of finance. Deep learning, a subset of machine learning, has emerged as a powerful tool for capturing complex relationships within data. What sets deep learning apart is its ability to handle vast amounts of data, recognize intricate features, and adapt to evolving patterns, all while uncovering hidden insights. At its core, deep learning uses artificial neural networks that …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 22–30 Read article
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Microservices vs. Monoliths: Choosing the Right Architecture for Your Project
Abstract: This comprehensive paper examines the critical differences between microservices and monolithic architectures, providing an in-depth comparison to guide software architects and developers in selecting the most appropriate approach for their projects. We conduct a thorough analysis of the strengths and weaknesses inherent in each architectural style, taking into account crucial factors such as scalability, maintainability, deployment complexity, and the structure of development teams. Through detailed case studies, performance metrics, and …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 31–38 Read article