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Abstract:Automated third-party library analysis tools help developers by addressing key dependency management challenges, such as automating version updates, detecting vulnerabilities, and detecting breaking updates. Dependency reachability analysis aims at improving the precision of dependency management, by reducing the space of dependency issues to the ones that actually matter. Most tools for dependency reachability analysis are static and fundamentally limited by the absence of execution. In this paper, we propose FIKA, a pipeline for providing guarantees of executability for third-party library call sites. FIKA leverages a Large Language Model (LLM) guided by static analysis to generate code that is executed, and whose execution trace provides guarantees that a third-party library call site is actually executable. We apply our approach to a dataset of eight Java projects to empirically evaluate the effectiveness of FIKA. On average, 54% of these call sites are covered by the existing test suites, and therefore, have evidence for their executability. FIKA improves this coverage by 20%, generating successful reachability scenarios for 609 out of 1465 previously non-covered call sites. In six out of eight projects, FIKA provides strong guarantees that more than 75% of call sites are executable. We further demonstrate that FIKA improves over Semgrep, a state-of-the-art static vulnerability reachability analysis tool, and outperforms Jazzer, a coverage-guided directed fuzzer. We show that FIKA can help prioritize the vulnerability updates with stronger guarantees of executability.

Submission history

From: Yogya Gamage [view email]
[v1] Tue, 21 Apr 2026 21:49:15 UTC (166 KB)
[v2] Sat, 5 Sep 2026 00:00:30 UTC (170 KB)