International Journal of Software Engineering and Knowledge Engineering

Aims & Scope✦ Inferred from recent articles

This journal publishes research on software engineering and knowledge engineering, focusing on areas such as machine learning applications, security, system modeling and verification, and data analysis. Recent articles explore topics including deep learning for IoT security, scientific workflow optimization, robust estimation methods for vehicle systems, formal verification of robotic systems, feature matching algorithms, fall risk assessment, causal modeling, adversarial attacks on malware detection, software aging, LLM-based software architectures, secure financial data management, industrial communication protocols, machine learning development processes, medical image segmentation, code completion, Linux kernel vulnerability analysis, face super-resolution, optimization algorithms, pair programming with LLMs, silent vulnerability fixes, fashion compatibility modeling, IoT healthcare prediction, program slicing, and LLM honeypots.

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Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Source: OpenAlex · Note: citations accumulate over time so older years appear higher

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Subject Classification