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Verification, Testing and Statistics

机译:验证,测试和统计

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Programming tools have expanded both in scope of the problems they solve, and in the kinds of techniques they use. Traditionally, programming tools have focused on detecting errors in programs. Recently, this scope has broadened to help with other programming tasks, including inferring specifications, helping diagnose root cause of errors during debugging, and managing knowledge in large projects. Also, traditionally programming tools have been based on either static or dynamic program analysis. Modern programming tools combine static and dynamic program analysis together with techniques from other disciplines such as statistical and probabilistic inference, and information retrieval. This paper reports on some such tools built by the Rigorous Software Engineering group at Microsoft Research India.
机译:编程工具在解决问题的范围和使用的技术方面都进行了扩展。传统上,编程工具专注于检测程序中的错误。最近,此范围已扩大到可以帮助执行其他编程任务,包括推断规格,帮助诊断调试过程中错误的根本原因以及管理大型项目中的知识。而且,传统上,编程工具是基于静态或动态程序分析的。现代编程工具将静态和动态程序分析与其他学科的技术(例如统计和概率推理以及信息检索)结合在一起。本文报告了Microsoft Research India的Rigorous Software Engineering组构建的一些此类工具。

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