International Journal of Software Computing and Testing

Latest articles

• Published Subscription 1 May 2026

  The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment

  By Ashutosh Kushwaha, Ansh Mishra, Ajit Kumar, Sameer Awasthi

  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 →

• Published Subscription 2 Mar 2026

  AI-Assisted Code Generation: Integrating Natural Language Models with Compiler Frameworks for Enhanced Software Development

  By Jyoti Amit Kumar Dhamecha

  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 →

• Published Subscription 2 Mar 2026

  The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment

  By Ashutosh Kushwaha, Ansh Mishra, Ajit Kumar, Sameer Awasthi

  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 →

• Published Subscription 25 Feb 2026

  A Machine Learning Framework for Fake News Detection Using Embeddings and Dimensionality Reduction

  By Itishree Panda, Sitam Biswal, Surya Prakash Das

  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 →

• Published Subscription 21 Feb 2026

  A Secured Check-In and Check-Out System Using Private Key Authentication and QR Code Verification Techniques for Daycare Management

  By Agyo Raphael Baku, Peter Michael Adole, Adda Danjuma Ato, Anderson Yohanna Nafinji

  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 →

• Published Subscription 20 Feb 2026

  Hybrid Evolutionary Algorithm for Automated Test Case Generation in Large-Scale Software Systems

  By Bhavisha Vishalbhai Parvadiya

  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 →

• Published Subscription 24 Dec 2025

  Cloud Computing-Based Software Testing

  By Kazi Kutubuddin Sayyad Liyakat

  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 →

• Published Subscription 24 Dec 2025

  Redefining Land Ownership: A Blockchain-Powered Framework for Transparent and Decentralized Land Record Governance

  By Sanjeevani Murlidhar Gupta, Jayesh Milind Kolambkar

  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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