Abstract: Methods, systems, and apparatus for propagating reduced-precision on computation graphs are described. In one aspect, a method includes receiving data specifying a directed graph that includes operators for a program. The operators include first operators that each represent a numerical operation performed on numerical values having a first level of precision and second operators that each represent a numerical operation performed on numerical values having a second level of precision. One or more downstream operators are identified for a first operator. A determination is made whether each downstream operator represents a numerical operation that is performed on input values having the second level of precision. Whenever each downstream operator represents a numerical operation that is performed on input values having the second level of precision, a precision of numerical values output by the operation represented by the first operator is adjusted to the second level of precision.

Abstract: Described are methods and systems for predicting and generating impacted scenarios based on a defined set of attributes. The system includes one or more databases. The processors are configured to receive a set of service provider system attributes for a project, generate attribute combinations from the set of service provider system attributes using a machine learning model trained on a reference data model, wherein the reference data model includes multiple test scenarios from the one or more databases, each test scenario associated with a test scenario attribute combination, generate predicted scenarios from the attribute combinations using the machine learning model, determine impacted service provider systems based on the predicted scenarios, determine issues based on each of the predicted scenarios, and generate a complexity score based on the determined impacted service provider systems and the determined issues to determine project viability.

Abstract: An electronic system includes a first data retriever to communicate with a first database associated with an analytic tool, and a second data retriever to communicate with a second database associated with an electronic testing device; wherein the analytic tool is configured to store information regarding actual usage of a product in the first database; wherein the electronic testing device is configured to store product testing data for the product in the second database; wherein the first data retriever comprises a first communication interface to electronically receive the information; wherein the second data retriever comprises a second communication interface to electronically receive the product testing data; and wherein the electronic system further comprises a processing unit configured to compute a score indicating a quality of product testing for the product based on the information regarding the actual usage of the product and/or the product testing data.

Abstract: Disclosed herein are systems and methods for multi-system connectivity and automation via universal computing elements. Universal computing elements may comprise an object queue, one or more counters, and a function operating on parameters of objects in the object queue. Universal computing elements may be interconnected into processes of arbitrary complexity. Universal computing elements may facilitate modular and scalable business process development, including application programming interface and database connectivity.

Abstract: Methods, apparatus, and processor-readable storage media for implementing extensible upgrade and modification as a service are provided herein. An example computer-implemented method includes processing one or more modifiers, wherein each modifier includes an independent processing unit having a given canonical structure and is configured to execute one or more automated actions related to at least one of application modification and application migration; obtaining data pertaining to multiple applications across multiple computing environments; determining, based at least in part on processing at least a portion of the obtained data, at least one of the one or more modifiers applicable for use in executing at least one of the one or more automated actions in connection with at least a portion of the multiple applications; and executing the at least one of the one or more automated actions using the at least one determined modifier.

Abstract: Training and/or utilization of machine learning model(s) (e.g., neural network model(s)) in automatically generating test case(s) for source code. Techniques disclosed herein can be utilized in generating test case(s) for unit test testing (or other white-box testing) and/or for functional testing (or other black-box testing). In some implementations, the machine learning model(s) can be trained on source code, unit test pairs. In some additional or alternative implementations, reinforcement learning techniques can be utilized to check for correctness of base source code, target source code pairs (e.g., by matching program execution of different branches).

Abstract: A method of guaranteeing game quality by using an artificial intelligence (AI) agent is provided. The method includes extracting an item list (hereinafter referred to as an inspection item list) for inspecting quality of a target game, extracting and storing log data corresponding to a test performance result for each item of the inspection item list, performing imitation learning of an AI agent model on the basis of the stored log data, performing an automatic test for inspecting quality of the target game by using the AI agent model on which the imitation learning is completed, and automatically recording a bug and an error detected by the AI agent model.

Abstract: A method for optimizing a verification regression includes obtaining data, by a processor, of previously executed runs of at least one verification regression session; extracting from the data, by the processor, values of one or a plurality of control knobs and values of one or a plurality verification metrics that were recorded during the execution for each of the previously executed runs of said at least one verification regression; finding, by the processor, correlation between said one or a plurality of the control knobs and each said one or a plurality of verification metrics, and generating a set of one or a plurality of control conditions based on the found correlation; and applying, by the processor, the generated set of one or a plurality of control conditions on the verification environment or on the DUT, or on both, to obtain a new verification regression session.

Abstract: Systems and methods are disclosed for dynamic application mobilization. In one implementation, an application is modeled as a processing function. The processing function is placed at a first processing node within a processing network. One or more optimization operations are computed with respect to the processing function. The processing function is mobilized from the first processing node to a second processing node within the processing network in accordance with the one or more optimization operations.

Abstract: A method, system, and computer program product to aggregate code change requests for a continuous integration pipeline. The method may include receiving a plurality of code change requests (CCRs) for a software product that are to be processed by a continuous integration (CI) pipeline. The method may also include obtaining all functions of the software product tested by all testcases in a testcase set. The method may also include selecting a plurality of groups of testcases from the testcase set, each group of the plurality of groups of testcases corresponding to a CCR from the plurality of CCRs. The method may also include identifying at least two groups of testcases from the plurality of groups of testcases without overlapping code. The method may also include aggregating each CCR that corresponds to the at least two groups of testcases into a single CCR group.

Abstract: Implementations generally relate to software testing system and method for automatically generating, deploying, and monitoring software tests employed to test software applications and/or software process flows. In implementations, a system generates software application tests and varies such tests used based on several criteria including monitoring a software application processing defined inputs and outputs to determine which parts of the application are being tested, which parts of the software application are not being tested, user interactions, metadata, type of software application, use computing environment, etc. The system may be configured to adapt testing, either pre or post production, to allow, user interactions of one or more running software applications to be used to provide feedback on which additional tests to add and/or subtract automatically to testing sequences.

Abstract: A method of compiling a software application as modular software build, comprising: creating a dependency tree defining a plurality of dependency relations between a plurality of code segments of a software code of a software application, each one of the plurality of dependency relations defines at least one of a functionality dependency, a parameter dependency and a structure dependency between a pair of the plurality of code segments; separately compiling each of the a plurality of code segments into one of a plurality of executable segment modules; and creating a core module adapted to be installed on a client device having a processor for loading the plurality of executable segment modules according to the plurality of dependency relations for an execution of the software application.

Abstract: Machine learning techniques are employed to model test runs of an automated test platform in ways that allow for reliable identification of various types of test behavior such as, for example, whether certain classes of failures can be characterized as test flake.

Abstract: A system and method for automation of task identification and control in a software lifecycle. Software context for a software asset is extracted from context repositories of the software asset during software development and operation, the extracted context data is matched to relevant tasks in a knowledge database to select tasks for the software asset, and task prioritization and orchestration are presented in a prioritized task list during a software lifecycle.

Abstract: A method, computer system, and computer program product for migrating a service (e.g. microservice) from using a first application programming interface version to using a second (e.g. newer or updated) application programming interface version. The method may include determining a difference between specifications of the first and second versions of the application programming interface. Historical usage of the first version of the application programming interface by the service may then be analyzed with respect to the difference so as to determine if the service meets the specification of the second version of the application programming interface. Responsive to determining the service meets the specification of the second version of the application programming interface difference, the service may be migrated from using the first version of the application programming interface to using the second version of the application programming interface.

Abstract: A method for performing a software update of a people conveyor component in a conveyor system includes downloading a software update from a remote update system based on a request from one or more of the remote update system, at least one conveyor component or the conveyor system such that the software update is downloaded as a background download without affecting an operation of the conveyor system.

Abstract: A first interface having a first object, a second object, and a third object is executed, where the third object is associated with a first option and a second option. The first option of the third object is selected. The second object is engaged a first time. The first object is engaged to execute a second interface in a first state, the second interface in the first state including a first data item associated with the first option. The second option of the third object is selected. The second object is engaged a second time. The second interface is re-executed to produce a second state. Integration code is generated as a result of a verification. The integration code is provided to a device, thereby causing the device to select one of the first option or the second option of the third object of the first interface.

Abstract: The present invention provides a unit testing method based on automatic generation of path coverage test cases. First, obtain a control flow graph of a program to be tested is obtained. Then, an executable code is executed in the generated control flow graph based on of an automatically generated test case, and meanwhile, a fitness value is calculated and acquired based on of an execution result of the executable code, and a sub-node is selected to continue repeating the above process, until a terminal node in the control flow graph is found, and finally a path marker is generated and the fitness value corresponding to the path is obtained. Then, an automatic test case generation algorithm is executed, and the algorithm constantly automatically generates test cases based on of the returned fitness value, and exits when the path is completely covered, or a set execution is timed out.

Abstract: Methods, apparatuses, systems, computing devices, computing entities, and/or the like are provided. An example method may include receiving a requirement request data object, generating at least one of a predicted complexity attribute or a predicted work track attribute corresponding to the requirement request data object, generating at least one predicted defect description attribute or at least one predicted test case description attribute corresponding to the requirement request data object, and transmitting a prediction data object that includes at least one of the predicted complexity attribute, the predicted work track attribute, the at least one predicted defect description attribute, or the at least one predicted test case description attribute. In some examples, the client device is configured to perform one or more software testing operations corresponding to the software testing task based at least in part on the prediction data object.

Abstract: Systems and methods include a penetration testing device. The device comprises: a memory and a processing unit arranged to perform operations including: determining a device mode of operation from one of a headless and remote mode. In the headless mode, the operations comprise: determining a test script customized for a target application; in response to receiving an instruction to perform a penetration test, executing the script to perform the test on the application; based on results of the test, and compiling data indicative of security vulnerabilities in the application. And in the remote mode, the operations comprise: establishing a secure connection between the device and a remote computing device; receiving from the remote computing device instructions for performing a remote penetration test on the application; performing the instructions to determine the security vulnerabilities of the application; and providing the remote computing device with a compilation of the security vulnerabilities.