International Journal of Software Computing and Testing
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International Journal of Software Computing and Testing

IJSCT V-12 I- 01 2026

IJSCT V-12 I- 01 2026

PublishedSubscriptionResearch Article 2026-02-25

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

By Itishree Panda, Sitam Biswal, and 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…

Published in International Journal of Software Computing and Testing · Vol. 12, Issue 01, 2026 · pp. 8–14Read Article →
PublishedSubscriptionOriginal Research 2026-02-21

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, and 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…

Published in International Journal of Software Computing and Testing · Vol. 12, Issue 01, 2026 · pp. 27–40Read Article →
PublishedSubscriptionReview Article 2026-03-02

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…

Published in International Journal of Software Computing and Testing · Vol. 12, Issue 01, 2026 · pp. 1–7Read Article →
PublishedSubscriptionReview Article 2026-02-20

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…

Published in International Journal of Software Computing and Testing · Vol. 12, Issue 01, 2026 · pp. 15–21Read Article →
PublishedSubscriptionReview Article 2026-03-02

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

By Ashutosh Kushwaha, Ansh Mishra, Ajit Kumar, and 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…

Published in International Journal of Software Computing and Testing · Vol. 12, Issue 01, 2026 · pp. 22–26Read Article →