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公开(公告)号：US20230305942A1
公开(公告)日：2023-09-28
申请号：US17705190
申请日：2022-03-25
申请人： GitLab B.V.
发明人： Julian Thome , Isaac Dawson , James Johnson , Zach Rice , Daniel Searles , Lucas Charles , Mark Art , Taylor McCaslin , Thomas Woodham , Todd Stadelhofer
CPC分类号： G06F11/3608 , G06F8/71
摘要： A system and method to adaptively generate a program model. Source code of a program to be tested for code issues, and a set of predefined patterns to be tested in the source code are received. Feature configuration data is generated by determining a set of features corresponding to the received set of predefined patterns. A set of program models is identified by selecting, for each feature in the set of features, a program model from among a plurality of program models that is optimized for the feature. A dynamic program model is built based on the identified set of program models, the dynamic program model being adapted to resolve each of the patterns included in the received set of predefined patterns. And the source code is tested for code issues by extracting from the dynamic program model instances of each of the set of predefined patterns.
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公开(公告)号：US20240256425A1
公开(公告)日：2024-08-01
申请号：US18632885
申请日：2024-04-11
申请人： GitLab B.V.
发明人： Julian Thome , Isaac Dawson , James Johnson , Zach Rice , Daniel Searles , Lucas Charles , Mark Art , Taylor McCaslin , Thomas Woodham , Todd Stadelhofer
CPC分类号： G06F11/3608 , G06F8/71
摘要： A system and method to adaptively generate a program model. Source code of a program to be tested for code issues, and a set of predefined patterns to be tested in the source code are received. Feature configuration data is generated by determining a set of features corresponding to the received set of predefined patterns. A set of program models is identified by selecting, for each feature in the set of features, a program model from among a plurality of program models that is optimized for the feature. A dynamic program model is built based on the identified set of program models, the dynamic program model being adapted to resolve each of the patterns included in the received set of predefined patterns. And the source code is tested for code issues by extracting from the dynamic program model instances of each of the set of predefined patterns.
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公开(公告)号：US11983091B2
公开(公告)日：2024-05-14
申请号：US17705190
申请日：2022-03-25
申请人： GitLab B.V.
发明人： Julian Thome , Isaac Dawson , James Johnson , Zach Rice , Daniel Searles , Lucas Charles , Mark Art , Taylor McCaslin , Thomas Woodham , Todd Stadelhofer
CPC分类号： G06F11/3608 , G06F8/71
摘要： A system and method to adaptively generate a program model. Source code of a program to be tested for code issues, and a set of predefined patterns to be tested in the source code are received. Feature configuration data is generated by determining a set of features corresponding to the received set of predefined patterns. A set of program models is identified by selecting, for each feature in the set of features, a program model from among a plurality of program models that is optimized for the feature. A dynamic program model is built based on the identified set of program models, the dynamic program model being adapted to resolve each of the patterns included in the received set of predefined patterns. And the source code is tested for code issues by extracting from the dynamic program model instances of each of the set of predefined patterns.
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