静态分析:导论

Q3 Computer Science
Queue Pub Date : 2021-08-31 DOI:10.1145/3487019.3487021
Patrick Thomson
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引用次数: 3

摘要

现代静态分析工具为代码库提供了强大而具体的见解。例如,Linux内核团队开发了Coccinelle,这是一个用于搜索、分析和重写C源代码的强大工具;因为Linux内核包含超过2700万行代码,所以静态分析工具对于发现错误和在其许多库和模块中进行自动更改都是必不可少的。针对C语言系列的另一个工具是Clang scan-build,它提供了许多有用的分析,并为程序员编写自己的分析提供了API。就像计算机科学中的许多东西一样,静态分析的效用是自我参照的:要编写可靠的程序,我们还必须为我们的程序编写程序。但这并不矛盾。静态分析工具,尽管其理论和实践可能很复杂,但它将使我们和未来的工程师能够克服这一挑战,并产生我们从业者应得的知识和见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Static Analysis: An Introduction
Modern static-analysis tools provide powerful and specific insights into codebases. The Linux kernel team, for example, developed Coccinelle, a powerful tool for searching, analyzing, and rewriting C source code; because the Linux kernel contains more than 27 million lines of code, a static-analysis tool is essential both for finding bugs and for making automated changes across its many libraries and modules. Another tool targeted at the C family of languages is Clang scan-build, which comes with many useful analyses and provides an API for programmers to write their own analyses. Like so many things in computer science, the utility of static analysis is self-referential: To write reliable programs, we must also write programs for our programs. But this is no paradox. Static-analysis tools, complex though their theory and practice may be, are what will enable us, and engineers of the future, to overcome this challenge and yield the knowledge and insights that we practitioners deserve.
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来源期刊
Queue
Queue Computer Science-Computer Science (all)
CiteScore
1.80
自引率
0.00%
发文量
23
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