Abstract: 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.

Abstract: 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.

Abstract: An anonymous leaderboard for a monitored computing environments is provided. In response to an entity registering with the monitored computing environment (MCE), an encrypted identity and a dynamic non-fungible token (NFT) are generated for the registered entity, where the dynamic NFT has an associated blockchain technology data structure. The blockchain technology data structure is associated with the encrypted identity. A progress element notification is received from the MCE in response to the entity satisfying criteria for a predefined progress element associated with the MCE. In response, a static NFT, corresponding to the predefined progress element, is generated and stored as a block in the blockchain technology data structure. An entry in an anonymous leaderboard output is generated based on the blockchain technology data structure, where the entry identifies the entity by the encrypted identity.

Abstract: A system and method for flushing the electrolyte out of an electrolyte flushable battery apparatus during a thermal runaway event. At least one condition of the electrolyte flushable battery apparatus is monitored to detect a potential thermal runaway event based on the at least one condition exceeding a threshold value. In response the inlet valve and outlet valves on the battery apparatus are opened. A flushing liquid is flushed or pumped through the battery apparatus where the flushing liquid enters the apparatus through the inlet valve and leaves the apparatus through the outlet valve. The flushing liquid is then stored in a reservoir.

Abstract: 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.

Abstract: According to one embodiment, a method, computer system, and computer program product for cryptojacking prevention is provided. The embodiment may include capturing a plurality of processor usage information. The embodiment may also include identifying a process or a program using processing power above a preconfigured threshold based on the plurality of captured processor usage information. The embodiment may further include, in response to determining the identified process or the identified program is not approved by a system administrator, performing an action using operating system workload managers based on preconfigured preferences.

Abstract: 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.

Abstract: Inputs to a system under test (SUT) are modeled as a collection of attribute-value pairs. A set of testcases is executed using an initial set of test vectors that provides complete n-wise coverage of the attribute-value pairs. For each execution of the testcases, for each attribute-value pair, a non-binary success rate (SAV) is computed based on the binary execution results. in response to a success rate of an attribute-value pair being below a predetermined threshold, a subset of testcases that use the attribute-value pair is identified. Further, sets of code paths for the subset of testcases are identified, each set of code path respectively corresponding to a testcase from the subset of testcases. Further, an intersection of the sets of code paths is determined. Code paths of the SUT that are in the intersection, are highlighted to represent a soft failure with the SUT.

Abstract: 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.

Abstract: A system is provided and includes a securable resource, a locking element configured to assume a locked condition in which the securable resource is locked and an unlocked condition in which the securable resource is unlocked and a controller. The controller is receptive of an instruction to authorize users to unlock the securable resource and is configured to perform operating system (OS) level authentication of the users and OS level control of the locking element in accordance with the instruction to authorize users and the OS level authentication.

Abstract: A computer-implemented method for test case priority selection includes initiating execution of a set of test cases associated with a system under test. Further, the set of test cases are executed according to a first order of execution, and during the execution, at runtime a failing test case, from the set of test cases is determined. Further, at runtime, from the set of test cases, a subset of test cases that are not yet executed is identified. Further, at runtime, a priority value is assigned to each test case from the subset of test cases, the priority value based on a similarity of the test case with the failing test case. Further, at runtime, the set of test cases is reorganized to execute the subset of test cases in a second order of execution based on priority values that are assigned.

Abstract: A method of analyzing code is provided. The method includes generating an abstract representation of the code, identifying conditional statements in the abstract representation, populating a truth table for each conditional statement that has been identified with all possible outcomes of the conditional statement and assessing the truth table for each conditional statement to identify issues.

Abstract: A method for testing a system under test (SUT) in an active environment to identify cause of a soft failure includes recording a first difference vector by executing a set of test cases on a baseline system and monitoring performance parameters of the baseline system before and after executing the test cases. Each performance record represents differences in the performance parameters of the baseline system from before and after the execution of a corresponding test case. The method further includes, similarly, recording a second difference vector by executing the test cases on the SUT and monitoring performance parameters of the SUT before and after executing the test cases. The method further includes identifying an outlier performance record from the second difference vector by comparing the difference vectors and further, determining a root cause of the soft failure by analyzing a test case corresponding to the outlier.

Abstract: Aspects of the invention include determining, by a processor, a code segment of a computer code, analyzing the code segment to determine one or more other code segments associated with the code segment, determining a set of subject matter experts (SMEs) associated with the code segment and the one or more other code segments, obtaining SME data for each SME in the set of SMEs, wherein the SME data comprises a set of attributes associated with the SME, generating, by the processor, a graphical representation of the set of attributes for each SME in the set of SMEs, transforming the graphical representations into an eigenvectors and eigenvalues, and ranking the SMEs based on their associated eigenvectors and eigenvalues.

Abstract: A method for testing a system under test (SUT) in an active environment includes receiving, by a testing system, a code path of the SUT that causes a soft failure in the active environment. The soft failure occurs in the active environment during execution of the SUT based at least on a parameter of the active environment. The method further includes generating, by the testing system, multiple tests for testing the SUT, the tests generated based on a coverage model of the SUT, wherein the coverage model uses several attributes. The method further includes selecting, by the testing system, from the generated tests, a set of tests that are associated with the code path. The method further includes executing, by the testing system, only the set of tests that are selected on the SUT to analyze a cause of the soft failure.

Abstract: A test apparatus is provided for use with a mainframe and an adapter. The test apparatus includes a logical adapter interface unit and a control system. The logical adapter interface unit is interposable between the adapter and the mainframe whereby an I/O signal transmittable from the adapter and to the mainframe is transmitted through the logical adapter interface unit. The logical adapter interface unit is configured to manipulate the I/O signal. The control system is coupled to the logical adapter interface unit and the mainframe and is configured to control manipulations of the I/O signal by the logical adapter interface unit to mimic a condition of I/O traffic being run through the adapter and to log a response of the mainframe to the manipulations.

Abstract: A method for testing a system under test (SUT) in an active environment includes executing, by the testing system, on the SUT, a test from a set of tests. The method further includes, monitoring a first execution time to complete the test on the SUT in the active environment. Based on the first execution time being different than a second execution time of the test, marking, by the testing system, a code path associated with the test. The second execution time is a duration to complete execution of the test on the SUT in a clean execution environment. The method further includes communicating, by the testing system, the code path for analyzing a soft failure of the SUT in the active environment, wherein the soft failure occurs in the active environment during execution of the SUT based at least on a parameter of the active environment.

Abstract: Approaches presented herein enable determining an optimal set of machine learning algorithms for use in an artificial neural network. More specifically, a plurality of artificial neural networks is trained using a training data set. Each of the plurality of artificial neural networks has a respective unique architecture that comprises a combination of hidden layers, artificial neurons, and machine learning algorithms. Respective prediction rates of each of the plurality of artificial neural networks are compared. A best predictor artificial neural network of the plurality of artificial neural networks is identified, such that the best predictor artificial neural network has a prediction rate which is the most accurate of the respective prediction rates based on the comparing. A set of one or more machine learning algorithms used in the best predictor artificial neural network is determined.

Abstract: A system is provided. The system includes a computing resource, a cable insertable into the computing resource, a locking element and a controller. The locking element is configured to assume a locked condition in which the cable is locked to the computing resource or prevented from insertion into the computing resource and an unlocked condition in which the cable is removable from the computing resource and permitted to be inserted into the computing resource. The controller is configured to define rules for users. The rules are associated with respective identifiers (IDs) of each of the users and establish criteria associated with each user for causing the locking element to assume one of the locked and unlocked conditions.

Abstract: 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.