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How Successful Is Data Structure Analysis in Isolating and Analyzing Linked Data Structures?

机译:数据结构分析在分离和分析关联数据结构方面有多成功?

摘要

This report describes a set of experiments to evaluate qualitatively the effectiveness of Data Structure Analysis (DSA) in identifying properties of a program's data structures. We manually inspected several benchmarks to identify linked data structures and their properties, and compared these against the results produced by DSA. The properties we considered are those that were the primary goals of DSA: distinguishing different kinds of data structures, distinct instances of a particular kind, type information for objects within an LDS, and information about the lifetime of such objects (particularly, those local to a function rather than global). We define a set of metrics for the DS graphs computed by DSA that we use to summarize our results concisely for each benchmark. The results of the study are summarized in the last section.
机译:该报告描述了一组实验,以定性评估数据结构分析(DSA)在识别程序数据结构属性方面的有效性。我们手动检查了几个基准,以识别链接的数据结构及其属性,并将其与DSA产生的结果进行了比较。我们考虑的属性是DSA的主要目标:区分不同类型的数据结构,特定类型的不同实例,LDS中对象的类型信息以及有关此类对象的生存期的信息(尤其是本地对象)功能而不是全局)。我们为DSA计算出的DS图定义了一组度量标准,用于简洁总结每个基准的结果。最后一部分总结了研究结果。

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