Application program fault prediction method and device
A fault prediction and application technology, applied in the field of artificial intelligence, can solve problems such as subjective interference, hysteresis, experience limitations, etc., to achieve the effect of improving user experience, accuracy and training efficiency
Active Publication Date: 2021-08-24
TENCENT TECH (SHENZHEN) CO LTD
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Problems solved by technology
However, in the existing technology, online problem warning and corresponding fault prediction are usually based on the prior knowledge of developers, and there are defects such as subjective interference, experience limitations and hysteresis.
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[0030] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in the present application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present application.
[0031] It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein can be practiced in sequences other than those illustrated or des...
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The application provides a method and device for fault prediction of an application, which relates to the field of artificial intelligence, wherein the method includes: obtaining the target operation log text corresponding to the preset time window of the application to be detected; performing word segmentation processing on the target operation log text, and obtaining The log text word segmentation sequence corresponding to the target operation log text; call the target fault prediction model to perform fault prediction on the log text word segmentation sequence, and obtain the fault prediction result of the application to be tested; the target fault prediction model is based on the sample log text corresponding to the preset time window set and matched fault labels to train the initial prediction model for fault prediction constraints; the sample log text set and fault labels are based on the online problem feedback data corresponding to the preset time window and the samples corresponding to the online problem feedback data The log text generated. This application can assist developers to troubleshoot online problems in advance and improve user experience without user awareness.
Description
technical field [0001] The present application relates to the field of artificial intelligence, in particular to a method and device for fault prediction of an application program. Background technique [0002] Affected by the network environment, configuration choices, user standards, and test limitations, functional failures will inevitably occur during the running of the application, which will lead to many online problems. In order to troubleshoot the functional failures of the application in a timely manner to avoid bad experience caused by related online problems, it is necessary to locate the online problems as soon as possible so that developers can know the problems and trace the root causes of the faults in a timely manner. However, in the existing technology, online problem warning and corresponding fault prediction are usually based on the prior knowledge of developers, which has defects such as subjective interference, experience limitations and hysteresis. [...
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IPC IPC(8): G06F11/07
CPCG06F11/0718
Inventor 秦天柱罗家润刘楚蓉谢宗兴徐逸扬
Owner TENCENT TECH (SHENZHEN) CO LTD