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    Log-based computer system failure signature generation
    41.
    发明授权
    Log-based computer system failure signature generation 有权

    公开(公告)号：US10678625B2

    公开(公告)日：2020-06-09

    申请号：US16033278

    申请日：2018-07-12

    Applicant: NEC Laboratories America, Inc.

    Inventor： Pranay Anchuri ,  Jianwu Xu ,  Hui Zhang

    IPC: G06F11/00 ,  G06F11/07

    Abstract: Systems and methods for automatically generating failure signatures in a computer system for performing computer system fault diagnosis are provided. The method includes receiving log data, converting each log in the log data into a collection of log pattern sequences including one or more log pattern sequences corresponding to one or more respective failure categories associated with the computer system, generating a collection of seed patterns by computing a global set of patterns from the collection of log pattern sequences, and extracting the collection of seed patterns from the global set of patterns, generating a log pattern grammar representation for each of the one or more log pattern sequences, generating a failure signature for each of the one or more failure categories based on the log pattern grammar representation and the collection of seed patterns, and employing the failure signatures to perform computer system fault diagnosis on new log data.

    LOG-BASED COMPUTER SYSTEM FAILURE SIGNATURE GENERATION
    43.
    发明申请
    LOG-BASED COMPUTER SYSTEM FAILURE SIGNATURE GENERATION 审中-公开

    公开(公告)号：US20190079820A1

    公开(公告)日：2019-03-14

    申请号：US16033278

    申请日：2018-07-12

    Applicant: NEC Laboratories America, Inc.

    Inventor： Pranay Anchuri ,  Jianwu Xu ,  Hui Zhang

    IPC: G06F11/07

    CPC classification number: G06F11/079 ,  G06F11/0751 ,  G06F11/0778 ,  G06F11/0787

    Abstract: Systems and methods for automatically generating failure signatures in a computer system for performing computer system fault diagnosis are provided. The method includes receiving log data, converting each log in the log data into a collection of log pattern sequences including one or more log pattern sequences corresponding to one or more respective failure categories associated with the computer system, generating a collection of seed patterns by computing a global set of patterns from the collection of log pattern sequences, and extracting the collection of seed patterns from the global set of patterns, generating a log pattern grammar representation for each of the one or more log pattern sequences, generating a failure signature for each of the one or more failure categories based on the log pattern grammar representation and the collection of seed patterns, and employing the failure signatures to perform computer system fault diagnosis on new log data.

    RECOMMENDER SYSTEM FOR HETEROGENEOUS LOG PATTERN EDITING OPERATION
    45.
    发明申请
    RECOMMENDER SYSTEM FOR HETEROGENEOUS LOG PATTERN EDITING OPERATION 审中-公开

    公开(公告)号：US20180060748A1

    公开(公告)日：2018-03-01

    申请号：US15684293

    申请日：2017-08-23

    Applicant: NEC Laboratories America, Inc.

    Inventor： Jianwu Xu ,  Biplob Debnath ,  Bo Zong ,  Hui Zhang ,  Guofei Jiang ,  Hancheng Ge

    IPC: G06N5/04 ,  G06N7/00 ,  G06F17/16

    CPC classification number: G06N5/047 ,  G06F17/16 ,  G06F17/20 ,  G06F17/2282 ,  G06F17/277 ,  G06N7/00

    Abstract: A heterogeneous log pattern editing recommendation system and computer-implemented method are provided. The system has a processor configured to identify, from heterogeneous logs, patterns including variable fields and constant fields. The processor is also configured to extract a category feature, a cardinality feature, and a before-after n-gram feature by tokenizing the variable fields in the identified patterns. The processor is additionally configured to generate target similarity scores between target fields to be potentially edited and other fields from among the variable fields in the heterogeneous logs using pattern editing operations based on the extracted category feature, the extracted cardinality feature, and the extracted before-after n-gram feature. The processor is further configured to recommend, to a user, log pattern edits for at least one of the target fields based on the target similarity scores between the target fields in the heterogeneous logs.

    DEEP Q-NETWORK REINFORCEMENT LEARNING FOR TESTING CASE SELECTION AND PRIORITIZATION
    50.
    发明申请
    DEEP Q-NETWORK REINFORCEMENT LEARNING FOR TESTING CASE SELECTION AND PRIORITIZATION 有权

    公开(公告)号：US20210064515A1

    公开(公告)日：2021-03-04

    申请号：US16998224

    申请日：2020-08-20

    Applicant: NEC Laboratories America, Inc.

    Inventor： Jianwu Xu ,  Haifeng Chen ,  Yuchen Bian

    IPC: G06F11/36 ,  G06N20/00

    Abstract: Systems and methods for automated software test design and implementation. The system and method being able to establish an initial pool of test cases for testing computer code; apply the initial pool of test cases to the computer code in a testing environment to generate test results; preprocess the test results into a predetermined format; extract metadata from the test results; generate a training sequence; calculate a reward value for the pool of test cases; input the training sequence and reward value into a reinforcement learning agent; utilizing the value output from the reinforcement learning agent to produce a ranking list; prioritizing the initial pool of test cases and one or more new test cases based on the ranking list; and applying the prioritized initial pool of test cases and one or more new test cases to the computer code in a testing environment to generate test results.

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