MR-Scout extracts over 11,000 metamorphic-relation-encoded test cases from 701 OSS projects, codifies 97% of them as high-quality generators, and shows they raise line coverage by 13.52% and mutation score by 9.42% on programs that already have developer tests.
In: Proceedings of the 2nd International Workshop on Emerging Trends in Software Engineering for Blockchain (WETSEB ’19), pp
6 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 6representative citing papers
LLMs for smart contract security analysis show lexical bias from identifier names causing high false positives, with prompting creating precision-recall trade-offs, positioning them as complements rather than replacements for static analysis tools.
Chaintrix achieves 71.7% recall on 120 high-severity vulnerabilities in the EVMbench benchmark and outperforms the strongest frontier-model baseline by 26 percentage points through LLM pipelines grounded in a Cross-Contract Interaction Model and filtered by structural checks.
SAFT-GT is a new toolchain that bridges safety and security analysis for self-adaptive systems using Attack-Fault Tree generation and model combination, validated by a domain-expert user study.
SPEAR applies multi-agent systems with planning, execution, and repair agents using negotiation protocols to smart contract auditing and compares it empirically to centralized and pipeline approaches.
Empirical review of 233 real-world vulnerabilities from 34 TON audits produces a specialized checklist for asynchronous message handling, supported by case studies and an 11-person practitioner survey.
citing papers explorer
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MR-Scout: Automated Synthesis of Metamorphic Relations from Existing Test Cases
MR-Scout extracts over 11,000 metamorphic-relation-encoded test cases from 701 OSS projects, codifies 97% of them as high-quality generators, and shows they raise line coverage by 13.52% and mutation score by 9.42% on programs that already have developer tests.
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Benchmarking LLM-Based Static Analysis for Secure Smart Contract Development: Reliability, Limitations, and Potential Hybrid Solutions
LLMs for smart contract security analysis show lexical bias from identifier names causing high false positives, with prompting creating precision-recall trade-offs, positioning them as complements rather than replacements for static analysis tools.
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CHAINTRIX: A multi-pipeline LLM-augmented framework for automated smart-contract security auditing
Chaintrix achieves 71.7% recall on 120 high-severity vulnerabilities in the EVMbench benchmark and outperforms the strongest frontier-model baseline by 26 percentage points through LLM pipelines grounded in a Cross-Contract Interaction Model and filtered by structural checks.
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Bridging Safety and Security in Complex Systems: A Model-Based Approach with SAFT-GT Toolchain
SAFT-GT is a new toolchain that bridges safety and security analysis for self-adaptive systems using Attack-Fault Tree generation and model combination, validated by a domain-expert user study.
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SPEAR: An Engineering Case Study of Multi-Agent Coordination for Smart Contract Auditing
SPEAR applies multi-agent systems with planning, execution, and repair agents using negotiation protocols to smart contract auditing and compares it empirically to centralized and pipeline approaches.
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From Paradigm Shift to Audit Rift: Empirical Analysis and Validation of Security Audit Methodologies for Asynchronous Smart Contract Systems
Empirical review of 233 real-world vulnerabilities from 34 TON audits produces a specialized checklist for asynchronous message handling, supported by case studies and an 11-person practitioner survey.