Parnian Eslamloo, Banani Roy · 2026 · arXiv
DOI: 10.48550/arXiv.2610.24902 · open-access PDF
现有的 Java 错误基准提供有限的方法级数据来研究运行时例外检测。过滤 Defects4J、Bugs.jar、Bears 和 BugSwarm 仅在七种未经检查的例外类型中产生 170 个真正的 buggy/fixed 方法对。我们引入了 RXSynth,一个由真实的 bug/fix 例子生成的 4,275 个合成 Java 方法对。我们使用与真实种子的结构对齐选择发电机,并使用两步的补丁附加程序验证对数,以识别标记的例外风险并检查修复是否删除它。
Machine translation (Meta M2M100); the English original follows.
Existing Java bug benchmarks offer limited method-level data for studying runtime-exception detection. Filtering Defects4J, Bugs.jar, Bears, and BugSwarm yields only 170 real buggy/fixed method pairs across seven unchecked exception types. We introduce RXSynth, a corpus of 4,275 synthetic Java method pairs generated from real bug/fix exemplars. We select the generator using structural alignment with real seeds and validate pairs using a two-stage patch-anchored procedure that identifies the labelled exception risk and checks whether the repair removes it. Independent JVM execution confirms pat
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