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Markov是在测试转型大背景下自研的新一代功能测试平台，相较于传统的功能测试框架具有着诸多的优点，比如可视化用例编写管理、分布式的沙盒环境和测试数据构建、测试流程pipeline管理。此外，基于该平台还衍生出了许多智能化测试技术，如基于朴素贝叶斯的用例推荐、参数组合膨胀过滤的用例推荐、基于用例编排算法的智能回归技术、基于用例画像的智能排查系统、精准智能测试等。我们可将Markov视为新一代的功能测试框架，相对于传统经典的测试框架(如pytest)+jenkins的模式，Markov模式对于使用者的门槛更低，能让不懂测试的开发和算法同学简单的进行自助测试，达到了让天下没有难做的"测试"的目标。
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- Apache-2.0
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- 3 years ago
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