International Business Machines Corporation

Andrew C M Hicks

Ryan Thomas Rawlins

Dale E Blue

Daniel Nicolas Gisolfi

Deborah A Furman

Michael E Gildein

Michael Terrence Cohoon

Christopher V Derobertis

Khaalid Persaud Juggan McMillan

Kevin Minerley

Thomas William Conti

Tyler Vezio Rimaldi

Tynan J Garrett

Michael Peter Lyons

Michael Page Kasper

Robert Peter Catalano

Diane Marie Stamboni

Miles C Pedrone

Brian Mo

John S Werner

Gregg M Arquero

Bryan Childs

Joshua David Steen

Jacob Thomas Snyder

Yunli Tang

Christopher G Brooker

Rafaela Frota

Daniel John FitzGerald

Eitan D Farchi

Faezeh Gholami

Christine D Mikijanic

Ronald David Boenig, Ii

Scott Woolley

Atul Kumar Thapliyal

Desmond Fitzpatrick

Travis Biro

Andrew Evans

Method and apparatus for system testing. A code base is accessed. A first section of the code base that is explicitly covered by a first test case is identified. A second section of the code base is modified, where the second section is not explicitly covered by the first test case. The first test case is executed on the code base with the modification of the second section of the code base. Based on determining that the execution of the first test case fails, the second section of the code base is determined to be implicitly covered by the first test case.

Identification of related test cases and overlapping code under test

Method and apparatus for regression testing. A first plurality of sequences of events is generated by executing a plurality of test paths on a first computing environment. A test workload is constructed based on the first plurality of sequences of events. A second plurality of sequences of events is generated by executing the test workload on a second computing environment. One or more variances are identified by comparing the first plurality of sequences of events with the second plurality of sequences of events. And the second computing environment is reconfigured based on the one or more variances.

Dynamic testing with captured sequences of events

Modification-based multipathing code, includes receiving a modification to a portion of code of an application; modifying the application to include a portion of multipathing code comprising a first path corresponding to the portion of code reflecting the modification and a second path corresponding to the portion of code independent of the modification; and configuring the application to execute either the first path or the second path as a default execution path.

Modification-based multipathing code

Techniques for testing and fault detection are disclosed. These techniques include generating a set of test cases for a system under test (SUT), the set of test cases based on attribute-value pairs modeled as input to the SUT. The techniques further include augmenting the set of test cases. This includes locating a missing counterpart for a first combination of values in a first test case in the set of test cases, based on identifying a number of instances of the first combination of values in the set of test cases, generating a new test case based on modifying the first test case to act as the missing counterpart, and adding the new test case to the set of test cases. The techniques further include identifying a fault for the SUT based on executing the augmented set of test cases.

Self diagnosing test suite using a double pair-wise combinatorial test solution

A multipathing code package including multiple code sections is provided. The multipathing code package includes at least different first and second versions of a particular code section among the multiple code sections. Processing circuitry of a data processing system executes the multipathing code package. Execution of the multipathing code packages includes executing a first version of the particular code section. Based on detecting an occurrence of an execution failure in the first version of the particular code section, the processing circuitry rewinds execution and replays the particular code section through execution of the second version.

Resilient error handling through multipathing code

Multipathing code execution based on failure severity includes: detecting a corresponding error in each path of a plurality of paths of a portion of multipathing code of an application; identifying, from the plurality of paths, a path having a lowest error severity; and resuming execution of the application using the identified path.

Multipathing code execution based on failure severity background

A method and system for detecting and stopping a ransomware attack. Prior to any attack hidden security flags are inserted into data that is stored. The data can be unencrypted either because the user does not intend to encrypt the data, the data has yet to be encrypted as part of a normal encryption process or is subject to additional encryption. A request is received to encrypt data using an encryption module. The process determines if the data to be encrypted includes a hidden security flag. If the data includes a hidden security flag a hidden security flag counter is incremented. The encryption is stopped if the value of the hidden security flag counter exceeds a threshold value. A user can be notified of the halting of the encryption process.

Hidden security flags for ransomware attack protection

An optical cable mismatch error detection and remediation process is provided which includes detecting, by at least one processor, an optical cable mismatch error in a connection path between optical transceivers of a computing network, where the connection path includes one or more optical cables. The detecting includes evaluating operation of an optical transceiver of the connection path. The evaluating includes determining that data on one or more optical lanes of the optical transceiver is lane-mismatched data. The process further includes restructuring one or more lane assignments of the optical transceiver, based on determining that the data on the one or more optical lanes of the optical transceiver is lane-mismatched data, where the restructuring addresses the detected optical cable mismatch error.

Optical cable mismatch error detection/remediation

A digital transaction ledger with a DNA-related parameter is provided by obtaining DNA-based data unique to a particular entity, and establishing a DNA-related ledger parameter using the DNA-based data. Further, the method includes associating the DNA-based ledger parameter with a digital transaction ledger, making the digital transaction ledger related, at least in part, to the obtained DNA-based data.

Digital transaction ledger with DNA-related ledger parameter

An approach to identifying the use of deprecated source code in software repositories and recommending a replacement. Parsing one or more software repositories for software source code, identified as deprecated, by a machine learning model. Responsive to identifying the deprecated software source code, alerting a first one or more software developers responsible for maintaining a software source code module using the deprecated software source code; and recommending an alternative software source code for use in the software source code module to replace the deprecated software source code to the first one or more software developers.

Machine learning based deprecated software identification

According to one embodiment, a method, computer system, and computer program product for gathering relevant digital content. The embodiment may include receiving, from an online meeting scheduler, information within an online meeting invite. The embodiment may include analyzing the information using natural language processing (NLP) and machine learning (ML) techniques. Based on results of the analysis of the received information, the embodiment may include locating additional digital content items of the user which are relevant to the information of the online meeting invite. The embodiment may include outputting, to a user, a top-k listing of the additional digital content items for attachment to the online meeting invite before being sent.

Artificial intelligence supporting content delivery

Aspects of the invention include creating a neural network including neurons to which actions are assigned in representation of test cases. Tests of various instantiations of the neural network are executed for each test case and a state of the neural network after each test is evaluated to determine a fitness score of a corresponding instantiation. Instantiations having fitness scores that exceed a predefined level and identified and the instantiations having the fitness scores that exceed the predefined level are selected for adjustments. The executing, the evaluating, the identifying and the selecting are iteratively repeated in order to obtain desired fitness scores.

Reinforcement testing of a neural network

One or more systems, devices, computer program products and/or computer-implemented methods provided herein relate to data drift detection in an edge device. A system can comprise a memory configured to store computer executable components; and a processor configured to execute the computer executable components stored in the memory, wherein the computer executable components can comprise a verification component that can verify accuracy of a first model and accuracy of a second model to detect data drift associated with an edge device that is deployed without network connectivity; a computation component that can compute at least a first ratio based on the accuracy of the first model and the accuracy of the second model; and an analysis component that can use the at least the first ratio to determine whether performance degradation of at least one of the first model or the second model is a function of the data drift.

Drift detection in edge devices via multi-algorithmic deltas

Aspects of the invention include receiving, at an operating system executing on a processor, a write request from a program to write data to a memory. The write request includes a virtual memory address and the data. It is determined that the virtual memory address is not assigned to a physical memory address. Based on the determining, the unassigned virtual memory address is assigned to a physical memory address in an overflow memory. The data is written to the physical memory address in the overflow memory and an indication that the write data was successfully written is returned to the program. Future requests by the program to access the virtual memory address are directed to the physical memory address in the overflow memory.

Buffer overflow trapping

A computer-implemented method includes receiving a portion of code, inputting the received portion of code to a probabilistic data structure to determine whether the portion of code is similar to one or more other portions of code, and based on determining that the one or more other portions are similar to the received portion of code, identifying a number of similar portions of code. The method also includes storing relationship data that associates the similar portions of code with the received portion of code, determining one or more subject matter experts (SMEs) associated with the similar portions of code and the received portion of code and determining correlations between SME data and the relationship data, and storing the SME data and the correlations, the SME data including an indication of the determined SMEs, the relationship data correlating the one or more SMEs to the received portion of code.

Growing community of inventors

Wappingers Falls, NY, United States of America

Andrew C M Hicks