Abstract: Embodiments of the present disclosure relate to a method, system and computer program product for semantic search based on a graph database. In some embodiments, a method is disclosed. According to the method, the user jobs of a user are obtained from a first software product. Based on the user jobs, target test cases are selected from a plurality of test cases associated with the first software product and a second software product. The target test cases are applied to the first software product and the second software product, and in accordance with a determination that a result of applying the target test cases satisfies a predetermined criterion, an instruction is provided to indicate migrating from the first software product to the second software product. In other embodiments, a system and a computer program product are disclosed.

Abstract: A system and a method for performing a test of an application using an automation bot are provided. The method comprises accessing the application to be tested. The method comprises executing the test of the application using the automation bot. The automation bot is configured to interact with one or more other applications. The one or more other applications are different from the application. The method comprises determining one or more test results of the application based on the execution of the test. Further, the method comprises generating a notification indicative of the determined one or more test results.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate generation of microservices from a monolithic application based on runtime traces are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a model component that learns cluster assignments of classes in a monolithic application based on runtime traces of executed test cases. The computer executable components can further comprise a cluster component that employs the model component to generate clusters of the classes based on the cluster assignments to identify one or more microservices of the monolithic application.

Abstract: There are provided systems and methods for a data integration framework that provides an institutional or organizational user data enrichment capability locally. Specifically, instead of relying on the fraud detection platform to constantly updating and/or building new data connectors to intake data from updated or a new data provider, an institutional user, such as a financial institution, may receive a software development kit (SDK) from the fraud detection platform, using which the institutional user may build its own data connector deployed at the institutional user.

Abstract: Systems, apparatuses and methods may provide for developer stage technology that embeds binary code into an application binary file, wherein the binary code corresponds to vector functions and non-vector functions in statically typed source code, and generates intermediate representation (IR) data, wherein the intermediate representation data corresponds to the vector functions in the statically typed source code. Additionally, the developer stage technology embeds the IR data in the application binary file. Moreover, deployment stage technology may generate a first compilation output based on the application binary file and detect a capability change in an execution environment associated with the first compilation output. The deployment stage technology may also generate, in response to the detected capability change, a second compilation output based on the first compilation output.

Abstract: Methods and devices for an automated Internet of Things (IoT) certification service to verify plug and play capabilities of one or more IoT devices for use with a cloud service provider may include receiving a device identification of an IoT device to certify with the cloud service provider. The methods and devices may include receiving a selection of one or more certification tests to perform to plug and play capabilities of the IoT device. The methods and devices may include performing the one or more certification tests. The methods and devices may include generating a device certification for the plug and play capabilities of the IoT device in response to the one or more certification tests passing.

Abstract: A system, method, and computer-readable medium are disclosed for predicting a defect within a computer program comprising: accessing a code base of the computer program, the code base of the computer program comprising a plurality of computer program files; training the defect prediction system, the training including performing a historical analysis of defect occurrence patterns in the code base of the computer program; analyzing a commit of the computer program to identify a likelihood of defect occurrence within each of the plurality of files of the computer program; and, calculating a defect prediction metric for each of the plurality of files of the computer program, the defect prediction metric providing an objective measure of defect prediction for each of the plurality of files of the computer program.

Abstract: In one example, a cloud-based services exchange comprises a plurality of interconnection assets configured to connect a customer of the cloud-based services exchange to one or more cloud service providers, the plurality of interconnection assets including a virtual circuit by which the customer accesses a cloud service from the one or more cloud service providers; and an orchestration engine configured to modify the plurality of interconnection assets.

Abstract: A system for secure identity data tokenization and processing, the system adapted to receive a loan provisioning request from a merchant computing device associated with an individual and to receive, from a secure identity verification computing device, a secure identity token data object attesting to an identity of the individual. A secure identity token data object is processed to verify the identity of the individual and to initiate a loan origination process. A request for an electronic transaction to be paid or partially paid using funds represented in the dynamic card token data object associated with the unique loan identifier data value and a a payment package data object is generated to encapsulate a tokenized representation of a dynamic card data object associated with the dynamic card token data object, an electronic representation of the funds to be provided from the dynamic card token data object.

Abstract: Methods and apparatuses are described for automated testing of mobile devices. A server establishes a connection with a client device via a high-latency connection. The server receives input from the client device comprising (i) a selection of mobile devices for testing and (ii) a selection of a test interaction. The server generates predicted interactions for each of the selected mobile devices using historical device interaction data. The server converts the predicted interactions into test scripts, each test script formatted for use with one of the selected mobile devices. The server deploys each test script for execution on the corresponding mobile device, and transmits results from the test script executions to the client device.

Abstract: A method for operating a cooling system of a transformer, wherein the transformer is cooled via a cooling liquid that circulates in the cooling system that includes a heat-exchanger, devices for increasing heat exchange performance of the at heat-exchanger and a controller, where in a normal operating state, the controller adjusts power of the devices for increasing the heat exchange performance as a function of a measured upper temperature and where, irrespective of the measured upper temperature, the controller refrains from activating the devices and/or operates the devices at a reduced power relative to the normal operating state if the lower temperature of the cooling liquid lies below a lower threshold value during operation of the transformer to achieve improved characteristics of the cooling system during operation under low environmental temperatures of the transformer, particularly in the case of a turn-on operation following lengthy storage in a cold state.

Abstract: An experimentation platform controls testing of features by an application server. Based on a user identifier, the experimentation platform determines which feature should be provided, and the application server provides the corresponding version of a user interface. If the user behavior data shows that using a tested feature results in an improvement, the tested feature will be adopted. To determine whether or not an improvement is observed, a statistically significant amount of data is gathered. The experimentation platform gathers data regarding user behavior for the feature versions and, in response, adjusts the frequency at which each version is served. Providing the proposed version to an increased percentage of users decreases the total number of page serves required to gather statistically significant data. The experimentation platform may provide an updated projected time to completion of testing based on the changed percentage of users receiving the proposed version.

Abstract: Dynamically generating data tests includes: receiving test templates and metadata for a plurality of data objects and, on a trigger condition: based on at least the metadata and the test templates, determining a current set of templated data tests, wherein determining the current set of templated data tests comprises: determining at least one templated data test, from a prior set of templated data tests, to cease using; determining at least one templated data test to add to the current set of templated data tests; and determining, within the current set of templated data tests, at least one templated data tests to regenerate; generating the at least one templated data test to add to the current set of templated data tests; regenerating the least one templated data test to regenerate; and executing templated data tests, within the set of current templated data tests, on the plurality of data objects.

Abstract: An authentication system comprises a browser extension and a password manager application. The browser extension can be configured for execution on a first user device. The browser extension can be configured to display a response code and receive a login credential from a server. The response code can comprise a unique session identifier identifying the browser extension and a user browsing session. The password manager application can be configured for execution on a second user device. The second user device can have a scanner configured to scan the response code. The password manager application can be configured to extract the unique session identifier, parse the unique session identifier into session identifier content, send a portion of the session identifier content to the server, receive an approval from a user of the second user device, and send a notification to the server.

Abstract: A pair of virtualized security device initialization data sets are received at a first virtualization server from respective sources prior to a launch of a compute instance at the server. A first virtualized security device is initialized using the data sets, and used to generate cryptographic artifacts used by the compute instance. A data item which was included in one of the data sets is modified after the cryptographic artifacts are generated. Additional cryptographic artifacts are generated by a second virtualized security device at a second virtualization server to which the compute instance has been migrated. The second virtualized security device is initialized using at least the modified data item.

Abstract: Device configurations for a machine-learned model. A device analytics system includes an electronic processor configured to determine, for a machine-learned model configured to detect a plurality of features, a prioritization ranking for a plurality of input parameters provided to the machine-learned model and receive, for each device, a confidence value for each feature included in the plurality of features. The electronic processor is configured to determine, for each device included in the plurality of devices, a performance value for each feature included in the plurality of features based on the prioritization ranking for the plurality of input parameters and the confidence value for each feature for the respective device. The electronic processor is configured to select, based on the performance value for each device included in the plurality of devices for a feature, a device configuration for the machine-learned model, and implement the selected device configuration.

Abstract: A data processing apparatus is provided that includes storage circuitry to store a plurality of interconnected instructions. Analysis circuitry analyses the instructions to determine a degree of uniqueness of profile measurements of a control flow path fragments within the instructions.

Abstract: A trace-data preparation circuit including a filtering circuit to receive traced memory-write data and a First In First Out buffer coupled with the filtering circuit to receive selected memory-write data filtered by the filtering circuit. The trace-data preparation circuit further including a data compression circuit to provide packaging data to a packaging circuit that groups the selected memory-write data.

Abstract: Embodiments facilitate testing of software functions, by elaborating upon a small volume test sample originally provided by a developer. Where the original test sample is determined to be numerical, embodiments perform repetition techniques to generate corpuses of test data of varying scope representing operation over different timescales. For original test samples of greater complexity (e.g., including text and/or hierarchical output states of the software function), embodiments select a relevant Machine Learning (ML) model and apply that ML model to generate the corpuses of test data. These are then available for loading to measure one or more performance parameters (e.g., runtime, memory consumption; processing consumption; bandwidth) of the software function. Broadly reported non-linear behavior of performance parameter(s) may reveal lack of suitability of the generated data corpuses for testing. More specific non-linear behavior may indicate failure of the software function to pass certain tests.

Abstract: Systems and method for URL filtering are provided herein. In some embodiments, a system includes a processor programmed to receive a URL request to access a resource associated with the URL; perform a first layer of URL filtering by comparing the URL to a blocklist of malicious URLs; determine that the URL does not match a URL on the blocklist; perform a second layer of filtering by applying a machine learning algorithm to analyze the URL to predict whether the URL is malicious; and generate and transmit a URL filter determination that the URL is malicious and update the blocklist to include the URL.

Abstract: An apparatus comprises a processing device configured to obtain testing logs generated by executing test cases on information technology assets of an information technology infrastructure, to parse the testing logs to generate a set of log event templates for testing actions performed during execution of the test cases on the information technology assets of the information technology infrastructure, to generate vector representations of the test cases utilizing the generated set of log event templates, and to perform, utilizing one or more machine learning-based hierarchical clustering algorithms that take as input the generated vector representations of the test cases, hierarchical clustering of the plurality of test cases. The processing device is also configured to generate, based at least in part on the hierarchical clustering results, testing plans for a given information technology asset of the information technology infrastructure.

Abstract: An electronic product testing system includes: a testing instruction generator configured to provide a user interface for generating an electronic file, the electronic file containing product testing instruction; and a testing device having a processing unit configured to execute the electronic file to perform testing of a product based on the product testing instruction in the electronic file; wherein the processing unit is configured to perform testing of the product by simulating human actions based on the product testing instruction in the electronic file.

Abstract: Household appliances and methods of testing are provided. The household appliance includes a mechanical component and a controller in operative communication with the mechanical component. The controller has a partitioned memory. The partitioned memory includes a testing partition and a control partition. The controller is configured for and/or the method includes authorizing a user of the household appliance and verifying a personality of the a household appliance. Testing software is loaded into the testing partition of the memory of the controller. The testing software is executed from the testing partition, whereby the mechanical component of the household appliance is operated. The method also includes and/or the controller is also configured for exiting remote testing mode after executing the testing software and deleting the testing software from the partitioned memory when exiting the remote testing mode.

Abstract: Examples provide a single-command menu option for initiating security scanning of source code without user interaction with the security scan component performing the security scan. The single-command menu option can include a single-click menu option in a graphical user interface, a command-line utility or a web interface for performing web service calls to the security scanning service(s). A user selects source code for scanning. A zip file is created for the selected source code. The zip file is placed in a target directory or scan queue for upload to the security scan component. A user ID appended to the source code is utilized to return a summary report of the scan results to the user without user credentials or login to the system.

Abstract: In some implementations, a regression prediction platform may obtain one or more feature sets related to an impending code change, wherein the one or more feature sets may include one or more features related to historical code quality for a developer associated with the impending code change or a quality of a development session associated with the impending code change. The regression prediction platform may provide the one or more feature sets to a machine learning model trained to predict a risk associated with deploying the impending code change based on a probability that deploying the impending code change will cause breakage after deployment and/or a probability that the impending code change will cause support issues after deployment. The regression prediction platform may generate one or more recommended actions related to the impending code change based on the risk associated with deploying the impending code change.

Abstract: Various embodiments include modeling a component fault tree for a circuit with an input-side and an output-side component. These include using a fault tree corresponding to a hazard for each respective component, obtaining information about the components of the circuit and a connection between components, and connecting the respective fault trees based on the circuit description. Each fault tree includes an input fault mode or a basic event and an output fault mode. The output fault mode and the input fault mode are each assigned to a component terminal. An output fault mode of the input-side component tree is connected to an input fault mode of the output-side component tree if: there is a connection between the assigned terminal of the input-side component and the output-side component and the output fault mode of the input-side component correlates to an input fault mode of the output-side component.

Abstract: Systems, related methods and other means for providing the securing of web site source code are provided herein. The system and methods may be configured to poll a client device and/or to otherwise determine whether a debugging console is active on a client device and deny access to the JavaScript and source code if the debugging console is active. Additionally or alternatively, the system and methods may receive a request to access the source code form a client device, and may determine whether the request is from a trusted referrer and whether the debugging console is active. When the request is from an untrusted referrer, and/or when the debugging console is active the system and method can deny access to the source code. When the request is from a trusted referrer and the debugging console in inactive, the system and method can grant access to the source code.

Abstract: In some examples, simulation-based software design and delivery attribute tradeoff identification and resolution may include receiving requirements specification, and generating, based on an analysis of the requirements specification, canonical sustainability requirements. Based on an analysis of the canonical sustainability requirements, sustainable software attribute decisions and an attribute optimization score may be generated, and used to generate a sustainable software attribute balance score and a tradeoff attributes list. Based on an analysis of the sustainable software attribute balance score and the tradeoff attributes list, a green quotient may be generated and used to generate an architecture document. Further, based on an analysis of the architecture document, software quality rules may be generated, and used to generate a software application.

Abstract: Techniques for configuring test operations on a per-module basis are disclosed. A system receives a command for configuring, on a per-module basis, test operations recited in a set of module code corresponding to a particular module of a plurality of modules in a module system. The module system specifies accessibility of each module in the plurality of modules to other modules in the plurality of modules. The system stores configuration information based on the command and configures a test operation included in an element of the particular module based on the stored configuration information. Configuring the test operation includes one of: (a) enabling the test operation without affecting other code recited in-line with the test operation in the element of the particular module; or (b) disabling the test operation without affecting other code recited in-line with the test operation in the element of the particular module.

Abstract: A virtual-reality process for user(s) to perform software testing is disclosed. A processor executing an engine may generate virtual-reality interface(s) into a metaverse and a first virtual-reality avatar in the metaverse for said first user. The processor may execute the engine to perform the software testing. The engine may load the test software. Start and end points may be input in order to identify a range in the test software to be tested. The engine—using recursive artificial intelligence—can navigate and test the test software from the start to the end. The engine utilizing the recursive artificial intelligence can input random test data into the test software and imperceptibly generate a tree of all navigational points and relationships in the test software from the start to the end. User(s) may interface with the virtual-reality interface(s) in test software instance(s) during processing. The tree may be stored and displayed.

Abstract: A method for identifying security vulnerabilities in a third party software component includes generating a test application for the third party software component. The test application is generated such that every externally accessible data path in the third party component is called. The test application and the third party software component are analyzed using a static application security testing (SAST) code analyzer. One or more test results are obtained from the SAST code analyzer. The one or more test results are used to identify security vulnerabilities in the third party component.

Abstract: A method for testing a web service is disclosed, the method including testing, by a testing application executing on a client computing system, a web service running at least partially on a server computing system. The testing includes directing a web browser of the client computing system to simulate user interaction with the web service to perform a particular operation that includes a particular set of sub-operations. The directing includes issuing one or more requests to perform the particular set of sub-operations. The testing also includes recording test information based on responses received from the web service in response to performing the particular set of sub-operations. The test information includes latency information for at least one of the sub-operations of the particular set. The method also includes presenting, by the client computing system, a user interface having a graphical element depicting an analysis of the recorded test information.

Abstract: A method and apparatus for event attribution during software experimentation is described. The method may include receiving, by a server computer system, a plurality of event tracking messages associated with an end user system, each event tracking message including at least a customer identifier, an end user identifier, and a timestamp. The method may also include storing each event tracking messages with the received customer identifier, end user identifier, and timestamp in a customer data store. Furthermore, the method may include applying, by the server computer system, a feature treatment to a configurable application executing on the end user system, the feature treatment specified by a customer system associated with the customer identifier, and the feature treatment configures one or more features of the configurable application associated with the end user identifier.

Abstract: Systems, apparatuses and methods may provide for technology that generates a first compiler output based on input code that includes dynamically typed variable information and generates a second compiler output based on the input code, wherein the second compiler output includes type check code to verify one or more type inferences associated with the first compiler output. The technology may also execute the first compiler output and the second compiler output in parallel via different threads.

Abstract: According to examples, an apparatus may include a processor that may determine that an application was accessed through a portal. Based on a determination that the application was accessed through the portal, the processor may determine whether a first credential type or a second credential type was supplied to access the application, in which the first credential type may include a set of personal credentials of a user and the second credential type may include a set of single sign-on credentials that the user may use to access multiple applications. The processor may also output a trace that may indicate an identification of the application that was accessed and the type of the credential supplied to access the application, in which a backed entity may analyze the data included in the trace.

Abstract: Example techniques for identification of diagnostic messages corresponding to exceptions are described. A determination model may determine whether a set of diagnostic messages generated based on analysis of a source code includes a diagnostic message that likely corresponds to an exception. The determination may be used to identify a set of diagnostic messages including the diagnostic message that likely corresponds to an exception.

Abstract: Implementing heterogeneous wavefronts on a graphics processing unit (GPU) is disclosed. A scheduler assigns heterogeneous wavefronts for execution on a compute unit of a processing device. The heterogeneous wavefronts include different types of wavefronts such as vector compute wavefronts and service-level wavefronts that vary in resource requirements and instruction sets. As one example, heterogeneous wavefronts may include scalar wavefronts and vector compute wavefronts that execute on scalar units and vector units, respectively. Distinct sets of instructions are executed for the heterogeneous wavefronts on the compute unit. Heterogeneous wavefronts are processed in the same pipeline of the processing device.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for selecting a test suite for an API. In one embodiment, a computing entity or apparatus is configured to receive test patterns and heuristics, receive an input API, the input API comprising API specifications, parse the input API to extract the API specifications, and based at least in part on the extracted API specifications and the test patterns and heuristics, select a test suite, wherein the test suite is programmatically generated using a machine learning model and comprises one or more test routines, one or more data values, and one or more expected results.

Abstract: Examples of the present disclosure describe systems and methods for discrete processor feature behavior collection and analysis. In aspects, a monitoring utility may initialize a set of debugging and/or performance monitoring feature sets for a microprocessor. When the microprocessor receives from software content a set of instructions that involves the loading of a set of modules or code segments, the set of modules or code segments may be evaluated by the monitoring utility. The monitoring utility may generate a process trace of the loaded set of modules or code segments. Based on the process trace output, various execution paths may be reconstructed in real-time. The system and/or API calls made by the microprocessor may then be compared to the process trace output to quickly observe the interaction between the software content and the operating system of the microprocessor.

Abstract: Disclosed here is a system to enable interaction between a user with a disability and a computer program. The system can obtain a representation of a user interface to present to a user. The system can determine an element associated with the user interface, where the element is configured to provide information to the user, however, the user interface presentation of the element at least partially fails to provide the information to the user. Based on the element, the system can determine an appropriate test to perform. The appropriate test indicates at least two of: a test to perform with a keyboard, a gesture test to perform with a mobile screen reader, and an audio test to perform with a screen reader. The system can generate an indication of the appropriate test. The system can provide the indication of the appropriate test prior to releasing the user interface to the user.

Abstract: An integrated circuit can include a communication endpoint configured to maintain a communication link with a host computer, a queue configured to receive a plurality of host commands from the host computer via the communication link, and a processor configured to execute a device runtime. The processor, responsive to executing the device runtime, is configured to perform validation of the host commands read from the queue and selectively execute the host commands based on a result of the validation on a per host command basis. The host commands are executable by the processor to manage functions of the integrated circuit. The queue is implemented in a region of memory that is shared by the integrated circuit and the host computer.

Abstract: A remote device infrastructure can be used to test and develop applications and websites. A user developer can select a number of remote devices at a remote location and test a programming application from a local machine. The remote devices run the programming application. The user interacts with mirrored displays of the remote devices on the local machine of the user. User inputs are transmitted to a remote device. The user can also enable a multisession mode, where the user can test a programming application on multiple remote devices and observe a display output of each remote device on the local machine of the user. The user can interact with any mirrored display of a remote devices in a multisession and observe a synced output in the other mirrored displays.

Abstract: According to one or more embodiments, an electronic device comprises: a display device; a memory for storing at least one source code and a comparison file including any one of a modification and a vulnerability, in which each of at least one character string included in a patch file corresponding to the at least one source code is classified; and a processor functionally connected to the memory and the display device, wherein the processor can be set to load the at least one source code stored in the memory, compare a character string included in the comparison file corresponding to the at least one source code with a character string included in the source code, and provide, through an output device, at least one piece of information from among pieces of information about whether the identified source code is patched, the probability that the source code is patched, and a vulnerability in the source code, on the basis of the result of the comparison.

Abstract: Systems and methods for universal system-to-system communication management and analysis are disclosed. According to one embodiment, in an analysis engine comprising at least one computer processor, a method for automating architecture design may include: (1) receiving, from an API database, static API information enriched with dynamic usage data; (2) generating a plurality of architecture designs based on the static API information enriched with the dynamic usage data and a plurality of rules, wherein an architect selects one of the plurality of architecture designs; (3) receiving feedback resulting from a simulation of the selected architecture; and (4) heuristically enhancing at least one of the plurality of rules based on the feedback.

Abstract: A program development assistance system includes an automatic execution process server that accepts a commit completion notification indicating that a source code has been registered, commit information that includes source code information and ticket information is acquired, a ticket identifier is extracted from the commit information, attribute information pertaining to a ticket is acquired on the basis of the extracted ticket identifier, information to be executed that corresponds to the source code to be processed by automatic execution is stored in an automatic execution queue, the sequence of to-be-executed information in the automatic execution queue is altered on the basis of the acquired attribute information pertaining to the ticket, the source code and a test case that are to be processed by automatic execution are acquired, and an automatic execution process is performed using the source code and the test case on the basis of the sequence of to-be-executed information.

Abstract: Systems and methods for synchronizing cloud resources are disclosed. An example method may include receiving a first request to synchronize first target cloud resources to a first specified state defined in a configuration repository, generating one or more first configuration commands corresponding to the first request, the one or more first configuration commands associated with a first cloud provider and a first cloud configuration framework, and executing the one or more first configuration commands to set a state of the first target cloud resources to the first specified state.

Abstract: Systems and methods for implementing a build-time, automatic, exporter configuration rule generator that removes the need for manual definition of exporter configurations are described. A processing device may perform a scan of source code of an application to identify one or more classes of the application, each of the one or more classes enabling an exporter to access metrics generated by the class. For each of the one or more classes, the processing device may analyze source code of the class with a set of templates and heuristics to generate a set of configuration rules for the class. The processing device may then generate an exporter configuration for the exporter based on the set of configuration rules for each of the one or more classes.

Abstract: A change to a first version of source code of an application that is running with a debugger attached is identified, resulting in a second version of the source code. It is determined whether the change occurred with corresponding software suspended or not. The change is applied to the software without restarting the software, based on applying the change using edit and continue (EnC) when the change occurred with the software suspended, or applying the change using hot reload when the change occurred with the software not suspended. Subsequently, the software is suspended, and debug state is presented. The presentation includes presenting the second version of the source code after EnC, or after hot reload and when the software is suspended in an updated memory entity; or presenting the first version of the source code after hot reload and when the software is suspended in a stale memory entity.

Abstract: Systems and methods of generating a threat model from a code file are defined. The system includes one or more data stores communicatively coupled with a processor, and storing information on a plurality of properties to be configured for one or more resources included in the code file and a plurality of security threats associated with one or more values of the plurality of properties. The system analyzes the code file to identify one or more properties associated with the one or more resources included in the code file. For each property, a value for the property defined in the code file is identified, one or more security threats are determined based on the identified value for the property, using the information stored in the data stores. The system generates a threat model for the one or more resources based on the determined one or more security threats.

Abstract: Techniques are described herein for translating source code in one programming language to source code in another programming language using machine learning. In various implementations, one or more components of one or more generative adversarial networks, such as a generator machine learning model, may be trained to generate “synthetically-naturalistic” source code that can be used as a translation of source code in an unfamiliar language. In some implementations, a discriminator machine learning model may be employed to aid in training the generator machine learning model, e.g., by being trained to discriminate between human-generated (“genuine”) and machine-generated (“synthetic”) source code.