Abstract: A system for generating synthetic test cases for fuzz testing. One example includes an electronic processor. The electronic processor is configured to pre-process training data, use the training data to train a discriminator DNN to evaluate a test case to determine whether the test case is likely to expose a software vulnerability, and use the discriminator DNN to train a generator DNN to generate a test case that is likely to expose a software vulnerability. The electronic processor uses the discriminator DNN to train the generator DNN by determining whether a test case generated by the generator DNN is likely to expose a software vulnerability and sending a determination of whether the test case generated by the generator DNN is likely to expose a software vulnerability to the generator DNN. The electronic processor is further configured to, when the generator DNN is trained, generate one or more test cases.

Abstract: A method of performing root cause analysis of communication system testing results and submitting communication system defect tickets along with associated previously resolved communication system defect tickets that provide insights for repairing the communication system defects. The method comprises categorizing by a categorization engine error messages in logs received from applications undergoing test, remediating the test data errors and rerunning a test case by a test data error handling script, for each error message categorized as a valid error, searching a data store by a valid error handling script to identify previously resolved defect tickets that match the valid error, and, for each error message categorized as a valid error, generating a defect ticket by the valid error handling script that describes the error message categorized as a valid error and identifies at least some of the previously resolved defect tickets that match the valid error.

Abstract: Embodiments relate to a system, program product, and method for validating a system under test (SUT). The method includes selecting one or more random biases for one or more properties of the one or more API requests. The method also includes transmitting the one or more API requests to the SUT, transmitting an API response from the SUT for each of the one or more API requests, and validating each API response.

Abstract: Examples described herein include systems and methods for test automation of a graphical user interface (GUI) using a screen element structure. The test automation can utilize a test script that identifies screen elements and corresponding actions to perform. The test script can identify screen elements with physical identifiers. The test automation can request the screen element structure from a server and retrieve one or more logical identifiers that correspond to the physical identifier. This can allow the test automation to use the logical identifier that is suitable for the particular GUI screen being tested and the automation platform itself. The test script can remain the same even when logical identifiers evolve since the screen element structure can be updated to include new logical identifiers.

Abstract: Methods and systems for detecting and correcting inefficient application configurations are presented. In one embodiment, a method is provided that includes receiving, at a first computing environment, a configuration for and execution metrics of an application executed within a second computing environment; identifying, via a machine learning model, a corresponding preferred configuration and expected metrics associated with the corresponding preferred configuration; identifying a difference between at least one of the execution metrics and at least one of the expected metrics; and applying the corresponding preferred configuration to the application within the second computing environment.

Abstract: Controlling access to an ERST, including: triggering, in response to an occurrence of an error, a SMI; adjusting, in response to the SMI and by a SMM RAS handler module, a slate of an access gate from a locked state to an unlocked state, the access gate controlling access to an ERST storage region; generating, by an OS MCE handler, an error record based on the error; accessing, by the OS MCE handler, an ACPI ERST to identify instructions for storing the error record at the ERST storage region; triggering, in response to the instructions and by the OS MCE handler, an additional SMI; determining, in response to the additional SMI and by a SMM handler, that the access gate is in the unlocked state; in response to determining that the access gate is in the unlocked state: storing, by the SMM handler, the error record at the ERST.

Abstract: Aspects of the disclosure relate to an automated end-to-end testing platform. A computing platform comprising at least one processor, a communication interface, and memory storing computer-readable instructions may receive first test configuration data for a first test and second test configuration data for a second test. The computing platform may generate a first container based on the first test configuration data and may run the first container to generate a first set of test results. The computing platform may determine that a subset of the first set of test results is to be used during an execution of the second test. The computing platform may generate a second container based on the second test configuration data and the subset of the first set of test results. The computing platform may run the second container to generate a second set of test results.

Abstract: A method and an apparatus for verifying an operation state of an application are provided. The method can include setting target verification operation information according to an operation verification item of an application to be verified; setting a verification process instruction for the target verification operation information; encapsulating the verification operation information and the verification process instruction as fault injection data, and sending the fault injection data to a data input port of the application to be verified; matching the process feedback information with the verification process instruction in response to receiving the process feedback information corresponding to the fault injection data, and determining executed target verification operation information.

Abstract: Embodiments provide systems and methods for performing automated browser testing on different native file types by receiving files of different types. A preview version of each file can be generated and rendered in an output file type. Generating the preview version can be performed by a preview application executed by the testing system and rendering the preview version of the first file can be performed by a browser application executed by the testing system. The output file type can be different from the received file type. For example, the received file type can be a native file type of a first application different from the browser and the output file type comprises an HyperText Markup Language (HTML) file type. A test can be executed on the rendered preview version based on one or more assertions on the first file.

Abstract: Diffing a subject replayable trace against a plurality of comparison replayable traces includes identifying a set of mappings among the comparison replayable traces, each identifying corresponding comparison sections of consecutive instructions recorded in the comparison replayable traces that execute equivalently. A plurality of distinct comparison sections are identified within the comparison replayable traces. Each of a plurality of subject sections within the subject trace is compared against distinct comparison section(s) to determine a comparison status for each subject section, including whether each subject section is (i) equal to at least one corresponding distinct comparison section, or (ii) different than the distinct comparison sections.

Abstract: A system, method, and computer readable medium for hybrid kernel-mode and user-mode checkpointing of multi-process applications using a character device. The computer readable medium includes computer-executable instructions for execution by a processing system. A multi-process application runs on primary hosts and is checkpointed by a checkpointer comprised of a kernel-mode checkpointer module and one or more user-space interceptors providing barrier synchronization, checkpointing thread, resource flushing, and an application virtualization space. Checkpoints may be written to storage and the application restored from said stored checkpoint at a later time. Checkpointing is transparent to the application and requires no modification to the application, operating system, networking stack or libraries. In an alternate embodiment the kernel-mode checkpointer is built into the kernel.

Abstract: Diffing a subject replayable trace against a comparison replayable trace includes identifying a first plurality of functions within a first sequence of instructions recorded in the subject trace, and identifying a second plurality of functions a second sequence of instructions recorded in the comparison trace. A first plurality of groups of the first plurality of functions, and a second plurality of groups of the second plurality of functions are identified. The first and second pluralities of groups are compared, including determining, based on an identity of each group, and on function(s) corresponding to the group, if each first group in the first plurality of groups is at least one of: equal to a second group in the second plurality of groups, a replacement of a second group in the second plurality of groups, deleted from the second plurality of groups, or inserted into the second plurality of groups.

Abstract: The present application discloses a method, an apparatus, a device and a storage medium for map retrieval test, relating to the fields of intelligent transportation, data retrieval and the like. The specific implementation scheme includes: analyzing historical interaction data of a user and an electronic map, to obtain an analysis result; the analysis result is used for representing the historical interaction data from a plurality of dimensions; associating the historical interaction data with the analysis result used for representing the historical interaction data from the plurality of dimensions, to obtain associated data; generating test data based on the historical interaction data in the associated data and the analysis result representing the historical interaction data from at least one dimension; and testing the electronic map by utilizing the test data, to obtain a test result of the electronic map.

Abstract: Systems and methods for selecting an optimal error recovery procedure for correcting a read error in a solid-state drive are provided. A machine learning model is trained to forecast which error recovery procedure of a plurality of error recovery procedures is most likely to achieve a predetermined goal given a state of a solid-state drive. The predetermined goal is based on at least one of a read latency and a failure rate of the solid-state drive. A current state of the solid-state drive is determined. An error recovery procedure is selected from among the plurality of error recovery procedures by inputting the current state of the solid-state drive into the trained machine learning model, thereby triggering the trained machine learning model to output the selected error recovery procedure. The selected error recovery procedure is executed to recover data from the solid-state drive.

Abstract: Techniques disclosed herein relate to managing notifications to a user associated with a computing device. The notifications correspond to a response to an indication of an exception condition on the computing device. The response to the exception condition includes a plurality of steps, including computer-implemented steps in which data objects output a plurality of notifications for the user. These notifications are processed by a notification choreographer and used to prepare a unified status communication. The unified status communication is output to the user and depicts information corresponding to a plurality of the notifications.

Abstract: Managing an application's resource stack, including: detecting, in dependence upon one or more storage system metrics, an occurrence of a storage system performance anomaly; and responsive to detecting the storage system performance anomaly, identifying, in dependence upon codified relationships between one or more storage system metrics and one or more elements in the application stack that are external to the storage system, a root cause of the storage system performance anomaly.

Abstract: Diffing subject and comparison traces. A first call tree representing function calls made by a first executable entity is created based on subject trace, and a second call tree representing function calls made by a second executable entity is created based on a comparison trace. A differencing tree is created from the call trees, with differencing tree nodes indicate a differencing status between the first and second call trees. A differencing cost is assigned to each differencing tree node, based at least on the nodes' differencing status. A differencing tree node is identified based on following nodes that most contribute to differences between the first and second call trees, and it is used to provide an indicia of a difference between the first and second function calls.

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 system, method, and computer readable medium for hybrid kernel-mode and user-mode checkpointing of multi-process applications. The computer readable medium includes computer-executable instructions for execution by a processing system. A multi-process application runs on primary hosts and is checkpointed by a checkpointer comprised of a kernel-mode checkpointer module and one or more user-space interceptors providing barrier synchronization, checkpointing thread, resource flushing, and an application virtualization space. Checkpoints may be written to storage and the application restored from said stored checkpoint at a later time. Checkpointing is transparent to the application and requires no modification to the application, operating system, networking stack or libraries. In an alternate embodiment the kernel-mode checkpointer is built into the kernel.

Abstract: A system for recommending a disaster recovery failover region of a public cloud service provider is provided. The system includes a memory having computer-readable instructions stored therein and a processor configured to execute the computer-readable instructions to detect a disaster recovery requirement for one or more clients of the public cloud service provider. The one or more clients is predicted to be affected by a disaster. The processor is further configured to monitor one or more disaster recovery (DR) factors associated with geological and meteorological conditions, legal and compliance requirements, network latency and costs for a plurality of disaster recovery regions associated with the public cloud service provider and to recommend a disaster recovery failover region for each of the one or more clients affected by the occurrence of the disaster based on the one or more DR factors.