Abstract: A system that includes a failed test detector and a task updater can automatically update tasks associated with consistent failures of software tests in a software development management platform. The failed test detector can use a set of evidence of test (EOT) files that indicate software testing results over a period of time to identify tests that are consistently failing when executed against versions of a software application. The task updater can automatically create tasks associated with such consistently-failing tests in the software development management platform. The task updater can also automatically close existing tasks associated with tests, in the software development management system, if the failed test detector determines that those tests are no longer failing consistently.

Abstract: An information processing device includes a storage in which a first program is stored and an update controller that updates the first program to a second program by use of data obtained from an external device. For each of a plurality of first partial areas obtained by dividing a first storage area storing the first program, the update controller copies a first partial program that is a part of the first program and that is stored in the first storage area to a second storage area and then successively updates the first partial program to a second partial program that is a part of the second program by use of the data. The data is difference information indicating a difference between the first program and the second program. The second storage area has a storage capacity smaller than a storage capacity of the first storage area.

Abstract: A system is provided for automatically generating electronic artifacts using extended functionality. In particular, the system may use a template-based process to automatically generate artifacts based on a defined set of parameters and/or variables. The system may further use one or more plugins which may provide extended functionality with respect to the artifact generation process. Accordingly, the artifact generation process may include initializing a parameter list based on application parameters and/or plugin parameters, processing the parameters, generating variables based on the parameters, and replacing variables in scheme template files with appropriate values (e.g., user supplied or plugin generated values) to output an artifact file to a predetermined location. In this way, the system provides a robust and efficient way to automatically generate artifacts.

Abstract: A method for managing a performance for at least one use case in a software application. The method includes: executing, for a first instance, a plurality of statements pertaining to a given use case on a target database, the plurality of statements being a part of the software application; collecting first performance metrics pertaining to the first instance of execution of the given use case; executing, for a second instance, the plurality of statements on the target database; collecting second performance metrics pertaining to the second instance of execution of the given use case; comparing the first performance metrics and the second performance metrics to determine difference therebetween; and executing at least one alarm action when the difference is greater than a predefined threshold.

Abstract: Embodiments presented herein provide techniques for evaluating an asynchronous application using a test framework. The test framework may perform a load test of an asynchronous application or service composed from a collection of applications or services. To do so, the test framework may submit transactions to a distributed application at a specified transaction rate and monitor how the distributed application operates at that transaction rate. An aggregate load test component may evaluate the remaining work pending at work accumulation points of the distributed application to determine whether the distributed application can sustain the specified transaction rate. A transaction tracking component may initiate transactions to generate load at the specified transaction rate without blocking while the transactions are processed by the distributed application.

Abstract: Systems and methods are provided for executing a subset of a plurality of scripts based on traversing a decision and execution hierarchy using standard parameters and custom parameters to install and configure a new computing system for a given entity.

Abstract: A semiconductor device (100) includes: first storage means (110) storing, in advance, a plurality of pieces of execution order inspection information (111˜11n) used for inspection of an execution order of a plurality of code blocks in a predetermined program, second storage means (120), which is a cache for the first storage means, and prediction means (130) for predicting a storage area of the execution order inspection information based on prediction auxiliary information in a first code block of the plurality of code blocks and a control flow graph of the program, the storage area being a prefetch target to be prefetched from the first storage means to the second storage means.

Abstract: A method for secure debugging in a multitenant cloud environment where an application server maintains a host application shared by multiple tenant users can be implemented. The method can receive a request from a tenant user to debug the host application associated with a tenant user, and responsive to the request, deploy an application runtime environment comprising an application container encapsulating the host application associated with the tenant user and a debugger container encapsulating a debugging software running on the application server. The method can set at least a breakpoint in source code of the host application through a user interface of the debugging software, run the host application associated with the tenant user in the application runtime environment, and evaluate an expression entered through the user interface of the debugging software after the host application associated with the tenant user hits the breakpoint.

Abstract: Provided are a universal software installer and/or uninstaller. The universal software installer determines a structure of the software to be installed and verifies all necessary software elements are applied or installed on the endpoint during the install. The universal software uninstaller determines a structure of the software to be uninstalled and verifies all related software elements are removed from the endpoint. The universal software installer and/or uninstaller is independent of an operating system platform executing on the endpoint.

Abstract: Computerized systems and methods are provided to intelligently and dynamically generate at least a first set of tests to be executed on one or more changes made to one or more applications to determine whether the one or more changes were successful. Data is received regarding one or more changes and a failure probability value for each change is determined. A first plurality of fields are generated for completion by a first user. Upon receiving responses for the first plurality of fields, a first customized code is generated and based upon first customized code, a first set of tests to be executed on the second version of the first application is generated. Additionally, the first set of tests are assigned labels, stored for future use, and executed on the second version of the first application.

Abstract: Methods, systems, and computer program products provide a build system that may automatically adjust to changes in the performance of a build operation. According to some embodiments, a multiplier is determined for a build system. The multiplier may be associated with a performance of the build system. A duration associated with a build operation performed by the build system is adjusted in view of the multiplier.

Abstract: Techniques are disclosed for generating an execution plan for performing functional tests in a cloud-computing environment. Infrastructure resources and capabilities (e.g., system requirements) may be defined within an infrastructure object (e.g., a resource of a declarative infrastructure provisioner) that stores a code segment that implements the resource or capability. Metadata may be maintained that indicates what particular capabilities are applicable to each infrastructure resource. Using the metadata, the system can generate an execution plan by combining code segments for each resource with code segments defining each capability in accordance with the metadata. The execution plan may include programmatic instructions that, when executed, generate a set of test results. The system can execute instructions that cause the set of test results to be presented at a user device.

Abstract: One embodiment provides for a general-purpose graphics processing unit comprising a set of processing elements to execute one or more thread groups of a second kernel to be executed by the general-purpose graphics processor, an on-chip memory coupled to the set of processing elements, and a scheduler coupled with the set of processing elements, the scheduler to schedule the thread groups of the kernel to the set of processing elements, wherein the scheduler is to schedule a thread group of the second kernel to execute subsequent to a thread group of a first kernel, the thread group of the second kernel configured to access a region of the on-chip memory that contains data written by the thread group of the first kernel in response to a determination that the second kernel is dependent upon the first kernel.

Abstract: An in-vehicle software updating method includes: acquiring, after starting a software update, a voltage measurement value of an in-vehicle power source; and acquiring a progress rate in the software update in a case in which the voltage measurement value is equal to or less than a second threshold. In a case in which the progress rate is less than a set value, the software update is interrupted. In a case in which the progress rate is equal to or greater than the set value, an operation mode of the zone control unit is switched to a power saving mode, and a second predicted voltage value of the in-vehicle power source at the update completion time is calculated. The software update is continued in a case in which the second predicted voltage value is greater than a first threshold.

Abstract: Extensions to a source software application are migrated to a target. Template records are constructed containing corresponding sets of attributes for source and target applications. Analysis of a source extension yields source extension attributes. A matching template record is used to map the source extension attributes to corresponding target extension attributes. A proposal for a migrated target extension is formulated, simulated in a sandbox, and committed to the target application. Client interaction supports selection or approval of application versions, proposals, or simulation output. Template records, constructed without knowledge of specific extensions implemented on a particular application instance, are provided to the source application environment, enabling remaining migration operations to be performed locally in source and target environments, maintaining data privacy. Examples are provided for a front-end software application in a database environment.

Abstract: The present disclosure relates to a deep learning algorithm compiling method and a device and a related product, the product comprising a controller unit, and the controller unit comprising: an instruction cache unit, an instruction processing unit, and a queue-storing unit. The instruction cache unit is configured to store computation instructions associated with artificial neural network operations. The instruction processing unit is configured to parse the computation instructions to obtain a plurality of operation instructions. The queue-storing unit is configured to store an instruction queue, which comprises: a plurality of operation instructions or computation instructions to be executed according to the front-to-rear sequence of the queue. By means of the described method, the present disclosure may improve the operation efficiency of the related product when carrying out neural network model operations.

Abstract: Examples include a system comprising a non-volatile memory to store a machine-learning data structure. Examples access the machine-learning data structure with a first processing resource, and examples access the machine-learning data structure with a second processing resource, which includes at least one graphics processing core, such that the machine-learning data structure is a shared memory space of the first processing resource and the second processing resource.

Abstract: Disclosed systems relate to propagating tracing across a distributed software application. In an example, an application logs tracing data for a web page from an original server. The application determines, at the web browser, that the web page from the original server requires a request to an external server outside a domain of the original server. The application interrogates the external server to determine whether the external server allows tracing headers in requests. The application updates an allow list, at the web browser, to indicate that the external server allows tracing headers in requests from the original server. The application injects a tracing header in the request based on a result of the interrogation. The application sends, from the web browser to the external server, the request with the tracing header. The external server is configured to log tracing data based on the tracing header.

Abstract: A method of software launch regression testing comprises monitoring an operational parameter of an existing application running on a plurality of client devices and determining a probability interval from the operational parameter of the existing application. A candidate update application is then launched to a subset of the plurality of client devices. The method then proceeds with monitoring a corresponding operational parameter of the candidate update version running on the subset of client devices, determining if the corresponding operational parameter of the candidate update version falls within the probability interval, and, based on the probability interval falling within the probability interval, providing a testing pass notification.

Abstract: Aiding diagnosis of errors in code based on a stack trace. Identifying target diagnostic information sources relevant to an obtained stack trace improves the efficiency and accuracy of the process of finding information for diagnosis of errors. This is achieved by analyzing the stack trace to identify stack trace elements and comparing the identified stack elements with diagnostic stack elements corresponding to diagnostic information sources from a database of diagnostic information sources.