International Business Machines Corporation

Sandra Hayward

David Richard Jones

Matthew Paul Wilson

Christopher N Bailey

Ian Partridge

Ian O Partridge

Johanna Saladas Zaaijer

Christopher Neil Bailey

A method, computer program product, and computer system for testing of robotic process automation robots that interact with user interfaces. The method includes obtaining analysis of commands in a robotic process automation script to determine interaction of the commands with one or more user interface applications. The method includes extracting a list of commands that interact with user interface controls and grouping the commands by user interface application. The method then generates a set of tests for each user interface application, with the set of tests including the commands for user interface control interactions and assertions of a state of each user interface control interacted with. The method provides a set of tests for a robot for each user interface application.

Test generation for robotic process automation robots that interact with user interfaces

Prefetch of microservices for incoming requests. The method determines for an incoming request a Service Level Objective (SLO) requirement for latency of a request type of the incoming request. The method generates a set of possible microservice sequences for the request including a probability of occurrence of each of the possible microservice sequences and determines a set of prefetch permutations for the set of possible microservice sequences. A latency score is calculated for each prefetch permutation and any prefetch permutations that do not meet the SLO requirement for latency of the request type are eliminated. An optimal prefetch permutation of the remaining prefetch permutations is selected by considering a total cost of the prefetch permutation based on a cost of running each microservice in the set of sequences.

Prefetch of microservices for incoming requests

A method, system, and computer program product for predicting microservices required for incoming requests for reducing the start latency of serverless microservices. The method may include obtaining tracing data of microservices of an application for historical requests processed by the application. The method may also include grouping the tracing data based on common request attributes. The method may also include aggregating each group into rules relating the common request attributes to lists of microservices. The method may also include building a predictive model formed of the rules for processing incoming requests to obtain a list of predicted microservices required for the incoming request based on attributes of the incoming request.

Predicting microservices required for incoming requests

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Eastleigh, United Kingdom

Sandra Hayward