公开(公告)号：US20220156631A1

公开(公告)日：2022-05-19

申请号：US16950228

申请日：2020-11-17

Applicant: International Business Machines Corporation

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

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

Abstract: 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：US20200257733A1

公开(公告)日：2020-08-13

申请号：US16274867

申请日：2019-02-13

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Li Jun Mei ,  Jie Ma ,  Ya Bin Dang ,  Jinho Hwang ,  Chen Lin ,  John Rofrano ,  Anup Kalia ,  Maja Vukovic

IPC: G06F16/9032 ,  G10L15/22 ,  G06F16/9035 ,  G06F16/9038 ,  G10L25/30 ,  G10L25/54

Abstract: Systems and methods for prioritizing interview questions, including predicting answers to questions in a candidate question set using a neural network model, and generating a ranking for each of the questions in the candidate question set by determining answer confidence, completeness, and ambiguity for each of the answers, and incorporating user preferences using a personalized preference matrix. A top ranked question is automatically selected and presented to the user, and the personalized preference matrix is iteratively adjusted for subsequent ranking of questions based on an answer to the top ranked question by the user to reduce computational resources expended

公开(公告)号：US12124924B2

公开(公告)日：2024-10-22

申请号：US16950228

申请日：2020-11-17

Applicant: International Business Machines Corporation

Inventor： Ali Kanso ,  Jinho Hwang ,  Muhammed Fatih Bulut ,  Shripad Nadgowda ,  Chen Lin

IPC: G06N20/00 ,  G06F8/60 ,  G06F8/61 ,  G06N7/01 ,  H04L41/50

CPC classification number: G06N20/00 ,  G06F8/60 ,  G06F8/61 ,  G06N7/01 ,  H04L41/50

Abstract: 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：US11727119B2

公开(公告)日：2023-08-15

申请号：US16904688

申请日：2020-06-18

Applicant: International Business Machines Corporation

Inventor： Chen Lin ,  Muhammed Fatih Bulut

IPC: G06Q10/06 ,  G06F9/50 ,  G06F21/57 ,  G06N20/10 ,  G06F9/48 ,  G06N20/20 ,  G06F18/21 ,  G06F18/243

CPC classification number: G06F21/577 ,  G06F9/4862 ,  G06F18/217 ,  G06F18/24323 ,  G06N20/10 ,  G06N20/20

Abstract: Embodiments relate to a system, a program product, and a method to support a migration operation. Risk factors associated with a migration operation are assessed. The assessment includes assigning respective risk score values to the identified risk factors, assigning respective weight values to the identified risk factors, and calculating a composite risk score based on the assigned risk score values and the assigned weight values. At least one remediation action is recommended to reduce risk to the migration operation. The at least one recommended remediation action is implemented prior to execution of the migration operation. A migration plan incorporating the remediation action for the migration operation is generated. At least one machine learning (ML) model is employed in connection with (a) the subjecting of the identified risk factors to the assessment and/or (b) the recommending of at least one remediation action to reduce risk to the migration operation.

公开(公告)号：US11520783B2

公开(公告)日：2022-12-06

申请号：US16575916

申请日：2019-09-19

Applicant: International Business Machines Corporation

Inventor： Chen Lin ,  John Rofrano ,  Anup Kalia ,  Maja Vukovic ,  Jinho Hwang ,  Jie Ma ,  Lijun Mei ,  Ya Bin Dang

IPC: G06F16/2452 ,  G06F16/242 ,  G06F40/253 ,  G06N3/08

Abstract: A system, program product, and method for use with an artificial intelligence (AI) platform to dynamically amend a knowledge base responsive to query evaluating and processing. A received or detected query is subject to natural language processing to identify, annotate, and map one or more query tokens against a knowledge base. The query tokens are evaluated against the knowledge base to identify one or more query tokens absent from the knowledge base and leverage a neural network to predict a probability relationship between the query tokens absent from the knowledge base and one or more tokens populated in the knowledge base. The natural language (NL) query is translated to a structured query language (SQL) and the SQL query is executed and evaluated, and the knowledge base is selectively and dynamically amended subject to the SQL evaluation.

公开(公告)号：US11360877B2

公开(公告)日：2022-06-14

申请号：US17019480

申请日：2020-09-14

Applicant: International Business Machines Corporation

Inventor： Chen Lin ,  Anup Kalia ,  Jin Xiao ,  John Rofrano ,  Saurabh Sinha ,  Raghav Batta ,  Maja Vukovic

IPC: G06F11/36 ,  G06F16/28 ,  G06F9/22

Abstract: A method, system, and computer program product for decomposing monolithic applications to form microservices are provided. The method identifies a set of classes within a monolithic application. A set of horizontal clusters are generated by performing horizontal clustering to the set of classes to decompose the classes based on a first functionality type. The method generates a set of vertical clusters by performing vertical clustering to the set of classes to decompose the classes based on a second functionality type. A subset of classes occurring in a common horizontal cluster and vertical cluster are identified as a functional unit. The method merges one or more functional units to form a microservice.

公开(公告)号：US11269625B1

公开(公告)日：2022-03-08

申请号：US17075432

申请日：2020-10-20

Applicant: International Business Machines Corporation

Inventor： Chen Lin ,  Jinho Hwang ,  Muhammed Fatih Bulut ,  Ali Kanso ,  Shripad Nadgowda

IPC: G06F9/44 ,  G06F8/72 ,  G06F11/36 ,  G06K9/62 ,  G06N3/12

Abstract: A computer system, computer program product, and computer-implemented method to identify one or more re-factoring operations directed at micro-service identification for source code. A genetic algorithm is leveraged to produce an offspring population of re-factoring operations from a parent set. The offspring population is subject to an assessment utilizing one or more objective measures. Responsive to the assessment, one or more identified re-factoring operations are selectively applied to the source code to produce one or more corresponding micro-service candidates.

公开(公告)号：US20210398023A1

公开(公告)日：2021-12-23

申请号：US16904688

申请日：2020-06-18

Applicant: International Business Machines Corporation

Inventor： Chen Lin ,  Muhammed Fatih Bulut

IPC: G06N20/10 ,  G06F9/48 ,  G06F21/57 ,  G06K9/62 ,  G06N20/20

Abstract: Embodiments relate to a system, a program product, and a method to support a migration operation. Risk factors associated with a migration operation are assessed. The assessment includes assigning respective risk score values to the identified risk factors, assigning respective weight values to the identified risk factors, and calculating a composite risk score based on the assigned risk score values and the assigned weight values. At least one remediation action is recommended to reduce risk to the migration operation. The at least one recommended remediation action is implemented prior to execution of the migration operation. A migration plan incorporating the remediation action for the migration operation is generated. At least one machine learning (ML) model is employed in connection with (a) the subjecting of the identified risk factors to the assessment and/or (b) the recommending of at least one remediation action to reduce risk to the migration operation.

公开(公告)号：US20210279566A1

公开(公告)日：2021-09-09

申请号：US16809319

申请日：2020-03-04

Applicant: International Business Machines Corporation

Inventor： Chen Lin ,  Hongtan Sun ,  John Rofrano ,  Maja Vukovic

IPC: G06N3/08 ,  G06N20/00 ,  G06K9/62

Abstract: Embodiments relate to a system, program product, and method for training a contrastive neural network (CNN) in an active learning environment. A neural network is pre-trained with labeled data of a historical dataset. The CNN is trained for the new dataset by applying the new dataset and contrasting the new dataset against the historical dataset to extract novel patterns. Features novel to the new dataset are learned, including updating weights of the knowledge operator. The borrowed knowledge operator weights are combined with the updated knowledge operator weights. The CNN is leveraged to predict one or more labels for the new dataset as output data.

公开(公告)号：US20190188276A1

公开(公告)日：2019-06-20

申请号：US15848563

申请日：2017-12-20

Applicant: International Business Machines Corporation

Inventor： Nikolaos Anerousis ,  Anup Kalia ,  Chen Lin ,  Maja Vukovic ,  Jin Xiao

IPC: G06F17/30 ,  G06F9/50 ,  G06F17/27 ,  G06K9/62

Abstract: Techniques for generating domain and client-specific application program interface recommendations are provided. In one example, a computer-implemented method comprises determining a semantic similarity between a first client application program interface and a second client application program interface based on a modified client application program interface being generated by removing text data associated with a first description of the first client application program interface. The computer-implemented method can further comprise matching the first description to a second description of the second client application program interface based on the semantic similarity, resulting in on or more matched client application program interfaces. Additionally, the computer-implemented method can further comprise associating the first client application program interface with a community based on the one or more matched client application program interfaces.