The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
IJACSA research on generative AI — including its use in software development, automated bug fixing, and other emerging applications.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed September 2026
Multi-agent debate (MAD) has emerged as a promising approach for improving the reasoning ability of large language models (LLMs). However, existing turn-taking schemes typically disclose a speaker’s entire utterance befo…
The integration of Generative Artificial Intelligence (GAI) into electronic government (e-Government) services has transformed the delivery of public information, raising critical questions about the quality of AI-genera…
With regard to the evolution of software systems, the process is hindered by the poor state of documentation, as software systems continuously evolve, which thereafter increases the maintenance costs to around 90% of dev…
The "hallucination" problem in Large Language Models (LLMs) remains an unresolved hurdle for scientific researchers who require precise, grounded evidence. While Retrieval-Augmented Generation (RAG) aims to mitigate thes…
Generative artificial intelligence, particularly large language models such as ChatGPT, has emerged as a promising educational technology tool with extensive application potential in teaching preparation. The research ob…
Learning Management Systems (LMSs) remain central to digital education, but they still provide limited support for adaptive and personalized learning across heterogeneous platforms. This study proposes an interoperable s…
Electronic medical records (EMRs) in sports medicine contain rich clinical insights but often remain in unstructured, bilingual formats. While locally-deployed large language models (LLMs) offer a privacy-preserving solu…
As large language models, and agentic AI systems are increasingly being integrated into software engineering, an expanding amount of empirical evidence surrounding these technologies has emerged. This systematic literatu…
Large Language Models (LLMs) have shown strong potential in automated vulnerability repair; however, generated security patches often lack reliability, semantic guarantees, and interpretability. Purely generative approac…
Monitoring public perception on social media is increasingly important for detecting reputational risks and communication opportunities in rapidly evolving digital environments. However, operational sentiment monitoring…
