
Static Analysis
32nd International Symposium, SAS 2025, Singapore, Singapore, October 13-14, 2025, Proceedings
Herausgegeben: Oh, Hakjoo; Sui, Yulei
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This book constitutes the refereed proceedings of the 32nd International Static Analysis Symposium, SAS 2025, held in Singapore, Singapore, in October 2025.The 15 papers included here were carefully reviewed and selected from 32 submissions.The papers presented in this book deal with abstract interpretation, automated deduction, data flow analysis, debugging techniques, deductive methods, emerging applications, model checking, data science, program optimizations and transformations, program synthesis, program verification, machine learning and verification, security analysis, tool environments...
This book constitutes the refereed proceedings of the 32nd International Static Analysis Symposium, SAS 2025, held in Singapore, Singapore, in October 2025.
The 15 papers included here were carefully reviewed and selected from 32 submissions.
The papers presented in this book deal with abstract interpretation, automated deduction, data flow analysis, debugging techniques, deductive methods, emerging applications, model checking, data science, program optimizations and transformations, program synthesis, program verification, machine learning and verification, security analysis, tool environments and architectures, theoretical frameworks, type checking, distributed or networked systems, and LLM for static analysis and static analysis for LLM.
The 15 papers included here were carefully reviewed and selected from 32 submissions.
The papers presented in this book deal with abstract interpretation, automated deduction, data flow analysis, debugging techniques, deductive methods, emerging applications, model checking, data science, program optimizations and transformations, program synthesis, program verification, machine learning and verification, security analysis, tool environments and architectures, theoretical frameworks, type checking, distributed or networked systems, and LLM for static analysis and static analysis for LLM.