International Business Machines Corporation

Kyndryl, Inc.

Puthukode G Ramachandran

Lorin Ullmann

John Conrad Sanchez

Vijay Kumar Aggarwal

Christopher Andrew Peters

John Patrick Whitfield

Craig M Lawton

Zhennan Wang

Shunguo Yan

Kuntal Dey

Brian John Cragun

Willie L Scott, Ii

Anil U Joshi

John C Hartley

Chakkalamattam Jos Paul

Mark A Williams

William Stephen Carter

David Werner Bachmann

Raymond Paul Pekowski

Sophia A Simpson

Uzi Hardoon

Nitendra Rajput

Hari Haranath Madduri

Richard Scott Schwerdtfeger

Vikrant Nandakumar

Andrew Neil Trossman

Vivek Shyamlal Sharma

Adam Reudeau Holley

Arnaud Airy Mathieu

Minto Tsai

Kavitha Suresh Kumar

Edward D Whitehead

Mark Joseph Williams

Edmund Troche

Praveen Prasanna Kumar Hirsave

Duraimurugan Govindasamy

A method includes receiving, by a computing device, metrics identifying vulnerabilities in an application; collecting, by the computing device, information related to the vulnerabilities; assigning, by the computing device, weights to the metrics using collected information; applying, by the computing device, a machine learning model on the weighted metrics; and generating, by the computing device, a predictive score for the vulnerabilities using the machine learning model.

Application security scoring

Technical solutions are described for configuring a gateway in an internet of things (IoT) system. An example method includes receiving, by a gateway resolver, a request to access a management console of the IoT system, the request including access information associated with the gateway of the IoT system, the request being sent by an administration device. The method further includes determining, by the gateway resolver, an IP address of the gateway based on the access information. The method further includes obtaining, by the gateway resolver, a management console URL based on the IP address. The method further includes redirecting, by the gateway resolver, the administration device to the management console URL in response to the request.

Accessing gateway management console

A content clarification server receives at least one language element entered by a user into a client computer, where the user works in a first area of specialization. The content clarification server extracts a set of concepts found in the at least one language element, and launches an auction bidding process for replacing original language in the at least one language element to content clarification providers who provide replacement language that clarifies a meaning of the at least one language element. The content clarification server filters out replacement language from content clarification providers that work in a second area of specialization that is different from the first area of specialization in which the user works, and identifies winning replacement language, from the filtered out replacement language, for the original language from one of the content clarification providers. The content clarification server replaces the original language with the winning replacement language.

Real-time on-demand auction based content clarification

An approach is provided that receives, over a computer network, transaction data from a number of clients that are running an app. The approach generates association rules by inputting the transaction data to an association rule learning algorithm, such as an Apriori algorithm. Each association rule is based on a user transaction pattern and a desired result, and each association rule includes a generated confidence value that pertains to an expected performance of one of the steps included in the respective association rule. The app is then modified based on an analysis of the generated confidence values, with the app modification being directed towards improving one or more of the confidence values.

Using learned application flow to predict outcomes and identify trouble spots in network business transactions

A method modifies a user interface based on a user having nystagmus. One or more processors collect eye gaze data points of a viewer of a user interface that displays content. The processor(s) determine, based on the eye gaze data points, that the viewer of the user interface has nystagmus. Responsive to determining that the viewer of the user interface has nystagmus based on the eye gaze data points, the processor(s) modifies the user interface.

Modifying a computer-based interaction based on eye gaze

An approach is provided that receives transaction data from a client that is running an app. The received transaction data identifies a latest step performed by the client. The received transaction data is compared to rules that have been generated from previous inputs of transaction data to an association rule learning algorithm. Each of the rules include steps and a confidence value corresponding to a last step of each of the respective rules. The approach identifies, based on the comparison, some rules where the latest step performed by the client is the penultimate step of the rules. One of the rules is selected based on the confidence value of the respective rule. The process then transmits a message to the client to perform the last step of the selected rule.

Using learned application flow to assist users in network business transaction based apps

Embodiments of the invention relate to selecting a path for navigation based on a node signature and a device signature. The node signature is directly related to node attribute data. The device signature is directly related to device data. A route is selected based on a match or near match of the node and device signatures.

Automated crowd sourcing of a navigation route

A user interface is analyzed to identify a problem element in the user interface. A problem in the user interface is related to an initial value of an attribute of the problem element. A changed value of the attribute of the problem element is computed. A determination is made that the changed value satisfies a compliance rule applicable to the user interface. A first record and a second record are selected from a historical data. The first record includes a first value of a metric usable with the user interface, and the second record includes a second value of the metric. A difference between the second value and the first value is associated with the changed value as an expected change in the metric due to the changed value. The changed value and the expected change in the metric are presented as a remedy for the problem.

Guided remediation of accessibility and usability problems in user interfaces

Gradually automation of a workflow by a configuration change management system is provided by a first workflow template having a relatively low level of automation and complexity in which at least a plurality of tasks require manual input, manual response, or manual approval, operating the first workflow by a workflow automation system engine, monitoring a measurement of the maturity level of the process during the operation the first workflow, and responsive to detecting the maturity level meeting pre-determined benchmark, automatically selecting, engaging, and operating a second workflow template which increases automation by automating one or more subprocesses, adding one or more subprocesses, or eliminating one or more subprocesses.

Automatically evolving processes in workflow automation systems

Near clones for a set of targeted computing systems are provided by determining a highest common denominator set of components among the computing systems, producing a pseudo-clone configuration definition, and realizing one or more pseudo-clone computing systems as partially configured backups for the targeted computing systems. Upon a planned failover, actual failure, or quarantine action on a targeted computing system, a difference configuration is determined to complete the provisioning of the pseudo-clone system to serve as a replacement system for the failed or quarantined system. Failure predictions can be used to implement the pseudo-clone just prior to an expected first failure of any of the targeted systems. The system can also interface to an on-demand provisioning management system to effect automated workflows to realize pseudo-clones and replacement systems automatically, as needed.

Creation of highly available pseudo-clone standby servers for rapid failover provisioning

Technical solutions are described for configuring a gateway in an IoT system. An example method includes providing, by an identification module, a user-interface (UI) access information to an administrative device. The method further includes receiving, by a setup module, from the administrative device, and via a management console generated based on the UI access information, setup data. The method further includes adjusting, by the setup module, one or more settings of the gateway according to the setup data.

A method modifies a computer-based interaction based on gaze data. One or more processors collect eye gaze data points to create an eye gaze corpus of information, where the eye gaze data points describe an eye gaze of viewers of a first set of at least one user interface. The processor(s) generate a plurality of clusters of viewers, and determine a target action performance for each of the plurality of clusters. The processor(s) collect, from a device having eye tracking technology, real time eye gaze data from a plurality of current users who are viewing a second set of at least one user interface, and segment the plurality of current users. The processor(s) then modify a computer-based interaction for at least one segment in order to maximize target action performance of the second set of at least one user interface.

Technical solutions are described for accessing a management console of a gateway device in an internet of things (IoT) system. An example method includes receiving wirelessly, by an administrative device, access information for the management console of the gateway device. The method further includes receiving, by the administrative device, from a gateway resolver device, an address for the gateway device in response to sending the access information to the gateway resolver device. The method further includes accessing, by the administrative device, the management console of the gateway device using the address. The method further includes adjusting, by the administrative device, one or more settings of the gateway device using the IoT system.

A method identifies and filters winning clarifications of content. A content clarification server receives a language element from a client computer, and extracts and marks for clarification a concept among the language element. The content clarification server launches an auction bidding process for replacing original language associated with the concept, and receives sponsored alternatives to the original language from multiple content clarification provider servers. The content clarification server generates an organic alternative, and then assigns a score to each of the sponsored alternatives and the organic alternative. Based upon the respective assigned scores, the content clarification server identifies a winning alternative, which is delivered to the client computer as a replacement for the original language associated with the at least one concept.

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Austin, TX, United States of America

Puthukode G Ramachandran