公开(公告)号：US20220156631A1

公开(公告)日：2022-05-19

申请号：US16950228

申请日：2020-11-17

申请人： International Business Machines Corporation

发明人： ALI KANSO ,  Jinho HWANG ,  Muhammed Fatih Bulut ,  SHRIPAD NADGOWDA ,  Chen Lin

IPC分类号： G06N20/00 ,  G06N7/00 ,  G06F8/60

摘要： Systems and methods are provided that integrate a machine-learning model, and more specifically, utilizing a platform as a service (PaaS) cloud to predict probability of success for an operator in an environment. An embodiment comprises a system having: a processor that executes computer executable components stored in memory, trained machine-learning model that predicts probability of success for deployment of an operator in an environment with a namespace of a platform as a service (PaaS) cloud, and a deployment component that receives a first operator and a first namespace and employs the trained machine-learning model to predict success of deployment of the first operator in a first environment.

公开(公告)号：US20200285462A1

公开(公告)日：2020-09-10

申请号：US16296727

申请日：2019-03-08

申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION

发明人： Mariusz Sabath ,  ALI KANSO ,  Michael Joseph Spreitzer ,  Hai Huang

IPC分类号： G06F8/71 ,  G06F8/33

摘要： According to one or more embodiments of the present invention, a computer-implemented method includes uploading, by a first instance of an integrated development environment (IDE), a first source-code change to a change log of a version control system. A second instance of the IDE is used to upload a second source-code change to the change log of the version control system. A determination is made that the second source-code change conflicts with the first source-code change. Based on the determination that the second source-code change conflicts with the first source-code change, generating a notification of the second source-code change is generated in the first instance of the IDE.