International Business Machines Corporation

Thomas William Conti

Kyle R Moser

Andrew C M Hicks

Michael Page Kasper

Thomas R Brown

Diane Marie Stamboni

Michael E Gildein, Ii

Gregg M Arquero

Bryan Childs

Stephen C Warren

Joshua David Steen

Christopher Harding

Rajesh Ramkrishna Bordawekar

Jose Luis Neves

Christine D Mikijanic

Christopher G Brooker

David M Morlitz

Andrew Evans

Paul Taukatch

Methods, systems and computer program products for determining recommended parameters for use in generating a word embedding model are provided. Aspects include storing a plurality of meaningful test cases. Each meaningful test case includes a test data profile and one or more test model parameters used to create a word embedding model that has been classified as yielding meaningful results. Aspects include receiving a production data set to be used in generating a new word embedding model. The production data set includes data stored in a relational database having a plurality of columns and a plurality of rows. Aspects include generating a data profile associated with the production data set. Aspects include generating a recommendation for one or more production model parameters for use in building a word embedding model based on the data profile associated with the production data set and the plurality of meaningful test cases.

Word embedding model parameter advisor

Aspects of the invention include receiving, by a processor, source code for a software program written in a first programming language. The received source code is converted into abstracted source code that is in a generic format that is different than a format of the first programming language. The abstracted source code is compared to known source code patterns. Based on determining that at least a subset of the abstracted source code matches a pattern in the known source code patterns, sending an alert to the user indicating that the received source code matches the pattern.

Automatic integrity vulnerability detection in an integrated development environment

A computer-implemented method for generating penetration tests automatically includes parsing an existing system test case, and identifying a particular program call in the system test case. The particular program call can require a particular data access authorization. The method further includes, in response to the system test case including the particular program call, generating a penetration test using a predetermined attack vector. The method further includes executing the penetration test and detecting an unauthorized access being performed during the penetration test. Further, the method includes responsively, sending a notification that identifies the particular program call.

Automatic penetration testing enablement of regression buckets

Methods, systems and computer program products for updating a word embedding model are provided. Aspects include receiving a first data set comprising a relational database having a plurality of words. Aspects also include generating a word embedding model comprising a plurality of word vectors by training a neural network using unsupervised machine learning based on the first data set. Each word vector of the plurality of word vector corresponds to a unique word of the plurality of words. Aspects also include storing the plurality of word vectors and a representation of a hidden layer of the neural network. Aspects also include receiving a second data set comprising data that has been added to the relational database. Aspects also include updating the word embedding model based on the second data set and the stored representation of the hidden layer of the neural network.

Dynamic updating of a word embedding model

Techniques for predictive water condition monitoring are described herein. An aspect includes a method that includes monitoring, by one or more processors, at least one water sensor to establish a baseline of a water condition model and monitoring one or more water conditions. A predicted water condition is determined based on the water condition model and the one or more water conditions. An alert is transmitted to one or more devices based on determining that the predicted water condition indicates a predicted contaminant level above a threshold.

Predictive water condition monitoring

A method includes receiving test objective data indicates an objective to be achieved during a cybersecurity test of a target system. An attack tree is generated by processing the test objective data into attack tree data including a plurality of data parameter sets and links between data parameter sets. Complexity of the attack tree is analyzed based on the test objective data using a combinatorics model. The attack tree is reduced to achieve the objective of the cybersecurity test based on the analyzed complexity of the attack tree.

Combinatorial test design for optimizing parameter list testing

Aspects of the invention include executing a first test case on a system, capturing a first state of the system during execution of the first test case, determining a first result of the first test case, performing a second execution of the first test case on the system in response to the first result of the first test case being an unexpected result, capturing a second state of the system during the second execution of the first test case, determining a second result of the first test case, analyzing the first state and the second state to determine a state similarity score, and categorizing the first result as a false positive based at least in part on the state similarity score being above a first threshold and a determination that the second result is a different result than the first result.

Test case failure with root cause isolation

Techniques for system kernel error identification and reporting for a computer system are described herein. An aspect includes detecting an error during the execution of a program. Another aspect includes determining whether the error is a system kernel error in the program. Another aspect includes, based on determining that the error is a system kernel error, generating a report regarding the determined system kernel error.

System kernel error identification and reporting

A computer-implemented method includes determining how to translate between a primary schema and each of two or more native schemas of two or more cloud providers. The primary schema defines one or more access methods for accessing a plurality of cloud resources of the cloud providers. A request is received for a first cloud resource of the plurality of cloud resources, where the first cloud resource is provided remotely by a first cloud provider, and where the request complies with the primary schema. The request is converted into a translated request in compliance with a first native schema of the first cloud provider. The translated request is submitted to the first cloud provider. A response is received from the first cloud provider. The response includes a cloud resource of the plurality of resources, and the response complies with the first native schema of the cloud provider. The response is returned.

Abstracted, extensible cloud access of resources

Aspects of the present invention include a method, system and computer program product determining, scoring and reporting the complexity of customer and test environments and workloads. The method includes a processor performing an accounting of factors related to complexity of a plurality of environments and workloads; determining one or more formulas to use for determining an overall score and ranking for each one of the plurality of environments and workloads; collecting relative environment and workload data; determining a complexity score for each one of the plurality of environments and workloads; and determining a complexity ranking for each one of the plurality of environments and workloads.

Using workload profiling and analytics to understand and score complexity of test environments and workloads

Aspects of the present invention include a method, system and computer program product for comparing customer test environments and workloads to customer production environments and workloads and for using any differences to make changes to the customer test resources to better match customer production goals. The method includes a processor setting one or more characteristics related to customer production; collecting customer production data; modeling a customer test workload in relation to a corresponding customer production workload; collecting customer test data; comparing the customer test data to the customer production data; determining that at least one difference exists between the customer test data and the customer production data; and determining from the at least one difference between the customer test data and the customer production data, one or more ineffective customer test resources and updating the one or more ineffective customer test resources.

Using run time and historical customer profiling and analytics to determine customer test vs. production differences, and to enhance customer test effectiveness

Aspects of the present invention include a method, system and computer program product. The method includes a processor determining one or more functional areas of focus for a profiling effort for the specific customer; determining one or more general functional areas of interest to the business entity and to a general set of customers; determining which environments and workloads of the specific customer to focus on in the profiling effort; determining data collection components of a platform for baseline environment and workload information for use in a data collection request for the specific customer; specifying any command and configuration data for the platform; specifying a baseline environment and workload data collection duration; and generating a data collection request for the specific customer that includes the baseline environment and workload data collection duration and time frames and the command and configuration data for the platform.

Standardizing customer and test data and information collection for run time and historical profiling environments and workload comparisons

Aspects of the present invention include a method, system and computer program product for determining, scoring and reporting the portability of customer and test environments and workloads. The method includes a processor performing an accounting of factors related to portability of a plurality of environments and workloads; determining one or more formulas to use for determining an overall score and ranking for each one of the plurality of environments and workloads; collecting relative environment and workload data; determining a portability score for each one of the plurality of environments and workloads; and determining a portability ranking for each one of the plurality of environments and workloads.

Using customer and workload profiling and analytics to determine, score, and report portability of customer and test environments and workloads

Aspects of the present invention include a method, system and computer program product determining and scoring customer adoption levels of platform technologies. The method includes a processor accounting for each one of customer platform technology categories; determining one or more formulas to score and rank customer platform adoption levels; acquiring the relative platform technologies customer adoption levels data; determining a customer platform adoption score for each one of the customer platform technology categories; and determining a customer platform adoption ranking for each one of the customer platform technology categories.

Using run-time and historical customer profiling and analytics to determine and score customer adoption levels of platform technologies

Aspects of the present invention include a method, system and computer program product for more accurately porting a customer or test workload. The method includes a processor acquiring relative customer or test workload and environment data for determining portability feasibility; determining workload and environment portability scores and rankings; comparing a current workload and environment to previously ported workloads and workload port analyses; determining which workload components may be ported; determining actual workload portability feasibility; generating one or more agile workload portability data reports that indicate which workload components are candidates for agile porting; and determining to not provide for viewing a summary of the actual workload portability feasibility or the one or more agile workload portability data reports.

Using customer profiling and analytics to more accurately estimate and generate an agile bill of requirements and sprints for customer or test workload port

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Poughkeepsie, NY, United States of America

Thomas William Conti