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English(EN) RE: https:// social.treehouse.systems/@aria dne/116769651521628628 But ... surely ... surely some decent static analysis could find the same issues, on someone'

AI代码分析工具的价值受到质疑,不如静态分析

作者质疑AI驱动的代码分析工具的价值,认为传统的静态分析方法几十年来一直能有效地识别出常见的编程错误,如变量处理不当和内存泄漏。他们认为AI工具相比现有的静态分析或编译器检查几乎没有额外的好处,而模糊测试(fuzzing)是发现安全漏洞更合适的下一步。 AI

影响 质疑AI在代码分析方面相比成熟方法的实际效益。

排序理由 该条目是一篇质疑AI工具实用性的观点文章。

在 Mastodon — fosstodon.org 阅读 →

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AI代码分析工具的价值受到质疑,不如静态分析

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该条目是一篇质疑AI工具实用性的观点文章。
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报道来源 [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    回复:https:// social.treehouse.systems/@aria dne/116769651521628628 但是……肯定……肯定有一些不错的静态分析可以发现同样的问题,在某人的代码上

    RE: https:// social.treehouse.systems/@aria dne/116769651521628628 But ... surely ... surely some decent static analysis could find the same issues, on someone's normal, everyday computer, without burning 5000 tonnes of energy to do so. Right? RIGHT??? The thing I don't understan…