International Journal of Software Computing and Testing
Volume 11, Issue 2 (2025)
Table of contents
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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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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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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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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