Invention Grant
- Patent Title: Detecting and predicting application performance
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Application No.: US16550472Application Date: 2019-08-26
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Publication No.: US11144429B2Publication Date: 2021-10-12
- Inventor: Al Chakra , Tian Ming Pan , Peng Fei Tian , Chu Yun Tong , Fan Zhang , Cheng Fang Wang , Bo Chen Zhu
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Cantor Colburn LLP
- Agent Teddi Maranzano
- Main IPC: G06F11/34
- IPC: G06F11/34 ; G06K9/62 ; G06F8/41 ; G06N20/00

Abstract:
Aspects of the invention include detecting and predicting application performance. A non-limiting example computer-implemented method includes receiving source code and generating a first model of the source code by labeling a word of the source code. The computer implemented method optimizes the first model of the source code by assembling the first model of the source code with a plurality of models generated by a model generation module into a second model of the source code and extracts at least two basic features from the second model of the source code. The computer-implemented method provides an estimated performance of the source code based on historical data of the basic features extracted from the second model of the source code.
Public/Granted literature
- US20210064507A1 DETECTING AND PREDICTING APPLICATION PERFORMANCE Public/Granted day:2021-03-04
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