Abstract: Systems and methods generate synthetic sensor data, such as synthetic radar, lidar, and/or sonar data from three dimensional (3D) scene data that may be custom designed. Reflectivity coefficients in the radar, lidar, and/or sonar spectrums may be determined for objects included in the 3D scene data. The reflectivity coefficients may be utilized by a game engine for computing the synthetic sensor data. The synthetic sensor data may be used in the creation, evaluation, and/or verification of a design for a controller or other system that utilizes such data.

Abstract: Methods and systems associated with a programming environment are described that provide automated or semi-automated recovery during run-time or compile-time operation in response to attempts to access a program element that is not in a working folder or in a folder location for which a path has been specified for accessing the program element.

Abstract: A performance testing and analysis environment performs tests on programming code and identifies any performance regressions. Tests exhibiting performance regressions are rerun, and the initial regressions are confirmed as genuine regressions or not. Analysis of the code under test and the performance under the tests are analyzed. The root causes of the performance regressions are identified. The process is fully automated and is performed quickly.

Abstract: Systems and methods provide, as part of an executable graphical model, a region for providing variants that includes one or more computational choices defining alternative execution implementations of the region. Conditions assigned to the one or more computational choices indicate which of the computational choices is active. The conditions specify logical expressions of variables that evaluate to True or False. For a given simulation of the executable graphical model, all of the logical expressions may evaluate to False, such that none of the computational choices are active. All of the computational choices of the executable graphical model may be removed for the given simulation.

Abstract: Systems and methods for coverage analysis using context information are described. The systems and methods can be used to obtain program code and test information for testing the program code, the test information associated with context information for providing context for testing the program code. Coverage information can be generated by testing the program code according to the test information. A first association can be generated between the context information and the test information. A second association can be generated between the context information and the program code. A third association can be generated between the coverage information and the test information. A subset of the coverage information can be determined based on the third association and a fourth association between the test information and the program code determined based on the first and second associations. An indication of the subset of the coverage information can be displayed.

Abstract: A method may include causing a first model to be executed. The causing the first model to be executed may be performed by a device. The method may further include causing a second model to be executed to simulate a functionality of the first model. The causing the second model to be executed may be performed by the device. The method may further include interacting with a model element, of the second model, associated with implicitly accessing information regarding a state of the first model. The state may be a representation of the first model at a particular simulation time-step. The interacting with the model may be performed by the device. The method may further include accessing, by the model element, information associated with the state of the first model. The accessing the information may be performed by the device.

Abstract: Processing external code includes: parsing the external code to identify a first semantic entity, mapping the first semantic entity to a second semantic entity, the first semantic entity comprising a first set of one or more specified attributes and the second semantic entity comprising a second set of one or more attributes that are capable of being specified, determining that a first attribute of the second set of one or more attributes does not have a corresponding specified attribute within the first set of one or more specified attributes, determining available information for specifying the first attribute of the second set of one or more attributes, and storing the second semantic entity in association with the first attribute of the second set of one or more attributes specified based on user selection or specifying the first attribute in response to available information provided to a user interface system.

Abstract: A device generates a block for a model associated with a system, and the system is associated with middleware. The block subscribes to information generated by the middleware based on communication between the middleware and the system. The device receives subscriber configuration information for configuring the block, and creates, based on the subscriber configuration information, a signal that converts the information generated by the middleware into a format compatible with the model.

Abstract: A system and method graphically display ports in a discrete event system (DES) environment. A graphical representation of a model having at least one DES component is provided in the DES environment. A first port of the DES component and a second port of the DES component are indicated by symbols. The first port is indicated by a first symbol representing a port type of the DES environment and the second port is indicated by a second symbol representing a port type of a non-DES environment.

Abstract: In a graphical modeling environment supporting a model having at least two different analysis frameworks operating therein, a system and corresponding method of processing the graphical model modify the model to group model portions together for processing in the same analysis framework. Model parts are identified and associated with the analysis framework in which they operate. Model parts are then grouped based on their association with their analysis framework to form model portions that operate in one of the different analysis frameworks, In instances where topological separation of model portions operating in the same analysis framework occurs, the system and method reconfigure intervening model portions to be amenable with operation in the analysis framework of the surrounding model portions to improve processing efficiency.

Abstract: According to some possible implementations, a method may include determining one or more inputs to a model of a system and one or more outputs from the model. The method may include identifying a continuous portion of the model to be discretized. The method may include discretizing the continuous portion of the model, using at least one of a continuous linear representation for the model or a frequency response associated with the continuous linear representation, to generate a discrete linear representation for the continuous portion of the model. The method may include outputting information associated with the discrete linear representation to permit the continuous portion of the model to be implemented on one or more processors.

Abstract: A device may detect a user interaction, via a user interface, with a particular component of a model. The device may generate a set of components, associated with the particular component, based on detecting the user interaction with the particular component of the model. The device may cause a representation of the set of components to be provided, via the user interface, in association with the model. The representation may indicate that the set of components are associated with permitting interoperability.

Abstract: A user interface may display visual traces between semantic constructs in representations of functionality. The representations of functionality may include textual programming language code, graphical programming language code, graphical or textual models, and/or text. The visual trace enables a party to visually review the correlations between the semantic constructs. The visual trace may include unique visual cues for distinguishing a degree of nesting of programming language constructs. For example, each successive level of nesting of a programming language construct may be associated with a different shade of a color. The user interface may be interactive and provide real-time feedback based upon actions of a party. The system determines what semantic constructs are to be visually distinguished on the user interface based on the location of an action and based on the hierarchy of semantic constructs and correlations.

Abstract: A device may receive a model that includes multiple blocks. The model may include first variables that contribute to a first calculation and second variables that contribute to a second calculation. The device may determine first dependencies associated with the first variables and may determine second dependencies associated with the second variables. The device may generate a first execution function based on determining the first dependencies. The first execution function may identify first blocks that are to be executed to perform the first calculation. The device may generate a second execution function based on determining the second dependencies. The second execution function may identify second blocks that are to be executed to perform the second calculation. The device may cause the first blocks and the second blocks to be executed in a different manner based on the first execution function and the second execution function.

Abstract: Embodiments include techniques for estimating unknown or missing values for parameters of a motor based on high-level motor information and using the estimated parametric values in generating an executable model for modeling the behavior of the motor. An aspect of the techniques involves assumptions used to establish the predetermined parametric values that are applied to the algorithm for deriving estimates of the unknown parametric values for the motor. The estimated parametric values may then be used in the executable model of the motor to enable development and simulation of a plant (e.g., a closed loop system) including a plant model having a dynamic controller model and a lumped parameter model of a modeling environment of a technical computing environment executing on a data processing system. The simulation of the plant loop can be sufficient to test the dynamic (e.g., feedback-based) controller within a closed loop system, e.g., test motion control of a motorized vehicle seat.

Abstract: A computer-based model having executable semantics may be used to simulate the behavior of a system. A substructure of interest is sliced from the model and analyzed to determine a transformation of the slice while preserving some context of the model. The transformed slice may be further manipulated outside of the model, integrated back into the model in place of the original slice, or used in other ways.

Abstract: A system is configured to receive a notification that variable information, associated with a variable, is stored in a logical workspace; obtain, in response to the notification, the logical workspace; and generate meta information associated with the variable, where the meta information includes information associated with a temporal attribute of the variable, information associated with an application that generated the variable information, information associated with a contextual attribute of the variable, or information associated with a spatial attribute of the variable. The system is also configured to associate, the meta information with the variable information, where associating the meta information with the variable information permits an operation to be performed on the meta information or on the variable information based on the meta information.

Abstract: A code-proving system is adapted to analyze implementation code for compliance with a at least a specified model. The implementation code can be code that is used to provide control or semi-automated control of a complex electromechanical system, such as an automobile. The specified model may be written to comply with a meta-model such as the software architecture specification known as Automotive Open System Architecture (AUTOSAR).

Abstract: A device may receive code and may identify a function included in the code. The device may identify for display and user selection a first argument value, corresponding to a first argument of the function, included in the code. The device may determine one or more valid values for a second argument associated with the function based on the function and the first argument value. The device may provide the one or more valid values for the second argument for display.

Abstract: A system and method generates contextual information for a source model. An identification of one or more first model elements of interest within the source model may be received. One or more constraints on inputs of selected model elements also may be received. A scope of analysis regarding outputs of the first model elements may be specified. The contextual information may be derived automatically for the one or more first model elements. The contextual information may include one or more model elements, signals, or states that are contained with the scope of analysis while execution of the source model is limited by the one or more constraints. The derived contextual information may be provided to an output device.