SQL for deep dynamic analysis?

M. R. Azadmanesh, Matthias Hauswirth
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引用次数: 1

Abstract

If we develop a new dynamic analysis tool, how should we expose its functionalities? Through an interactive user interface, a DSL, a specific API, or in some other way? In this paper, we discuss how to use an already existing language familiar to most software engineers, SQL, to perform deep dynamic analyses. The goal is to explore the trade-off between expressiveness and ease-of-use. We use BLAST as the dynamic analysis tool and map its trace information to a relational database. We find that, even though SQL is expressive enough for deep analysis of program executions and information flow, it is not quite straight forward to express some of the queries software engineers might be interested in. However, it removes the burden of learning a new language from scratch, which could make it worthwhile as an option in some cases.
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SQL深度动态分析?
如果我们开发一个新的动态分析工具,我们应该如何公开它的功能?通过交互式用户界面、DSL、特定API还是其他方式?在本文中,我们讨论了如何使用大多数软件工程师熟悉的现有语言SQL来执行深度动态分析。我们的目标是探索表达性和易用性之间的权衡。我们使用BLAST作为动态分析工具,并将其跟踪信息映射到关系数据库中。我们发现,尽管SQL具有足够的表现力,可以深入分析程序执行和信息流,但对于软件工程师可能感兴趣的一些查询,它的表达并不十分直接。然而,它消除了从头开始学习一门新语言的负担,这在某些情况下可能使它成为一种值得选择的选择。
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