Reasoning over the Evolution of Source Code Using Quantified Regular Path Expressions

Andy Kellens, Coen De Roover, Carlos Noguera, Reinout Stevens, V. Jonckers
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引用次数: 9

Abstract

Version control systems (VCS) have become indispensable to develop software. Next to their immediate advantages, they also offer information about the evolution of software and its development process. Despite this wealth of information, it has only been leveraged by tools that are dedicated to a specific software engineering task such as predicting bugs or identifying hotspots. General-purpose tool support for reasoning about the information contained in a version control system is limited. In this paper, we introduce the logic-based program query language ABSINTHE. It supports querying versioned software systems using logic queries in which quantified regular path expressions are embedded. These expressions lend themselves to specifying the properties that each individual version in a sequence of successive software versions ought to exhibit.
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使用量化正则路径表达式的源代码演化推理
版本控制系统(VCS)已经成为开发软件不可或缺的工具。除了它们的直接优势之外,它们还提供了关于软件演变及其开发过程的信息。尽管有如此丰富的信息,但它只被专门用于特定软件工程任务(如预测错误或识别热点)的工具所利用。对版本控制系统中包含的信息进行推理的通用工具支持是有限的。本文介绍了基于逻辑的程序查询语言ABSINTHE。它支持使用嵌入量化正则路径表达式的逻辑查询查询版本化的软件系统。这些表达式有助于指定在一系列连续软件版本中每个单独版本应该展示的属性。
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Reverse Engineering Co-maintenance Relationships Using Conceptual Analysis of Source Code Renovation by Machine-Assisted Program Transformation in Production Reporting and Integration Reasoning over the Evolution of Source Code Using Quantified Regular Path Expressions An Exploratory Study of Software Reverse Engineering in a Security Context Analyzing the Source Code of Multiple Software Variants for Reuse Potential
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