ACM Transactions on Software Engineering and Methodology

Aims & Scope✦ Inferred from recent articles

This journal focuses on software engineering and methodology, with a particular emphasis on techniques for understanding, analyzing, and improving software. Recent articles explore code representation learning using deep learning, fuzz testing for software assurance, identifying inclusiveness issues through user feedback analysis, and detecting critical changes in vulnerability patches. The scope also includes research on program runtime reasoning behavior, managing compatibility issues in third-party libraries, and library migration in C/C++ projects. Further topics include self-healing neural networks, generating robust web locators, agent-based software repair, and code analysis using large language models. Additionally, the journal covers infrastructure as code generation, automated generation of proof-of-concept exploits for smart contracts, out-of-distribution vulnerability detection, and compiler-level obfuscation using language models.

AI-summarised from recent articles · verify on publisher page →

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