A system includes a plurality of program components, including one or more sensor-agnostic components, one or more sensor-specific components, and a base subsystem manager (SSM) class. The sensor-agnostic components are preestablished, where each sensor-agnostic component is configured to be independent of sensor domain. The sensor-specific components are preestablished, where each sensor-specific component is customizable for use with a chosen sensor domain. The base SSM class is instantiated into a first SSM for a first subsystem comprising one or more resources, including at least one sensor. The system further includes a development environment configured to access the sensor-agnostic components and the sensor-specific components, and to enable combination of the sensor-agnostic components and the sensor-specific components. The sensor-agnostic components and the sensor-specific components are configured to interconnect in a plurality of combinations to form a program.

An augmenting system for augmenting a program's original class with an augmenting class is provided. In some embodiments, the augmenting system receives a definition of an augmenting class that includes a data member. The augmenting system generates resolution code for the computer program. The resolution code is for accessing a reference to an original instance of the original class and providing a reference to a corresponding augmenting instance of the augmenting class. When processing a statement of the computer program that accesses the data member using the reference to the original instance, the augmenting system generates access code for the computer program. The access code uses the resolution code to retrieve the reference to the augmenting instance for the original instance and accesses the data member based on the retrieved reference to the augmenting instance.

Case management systems and techniques are disclosed. In various embodiments, searching case instances is facilitated. An indication to create a composite index across hierarchical case nodes comprising a case model is received. Case instance data associated with the case model is used to generate the composite index. The composite index is made available to be used to optimize searches of a plurality of case instances with which the case instance data is associated.

Provided is a process including: obtaining, for a plurality of entities, datasets; and orchestrating an object-orientated application or service by: forming a plurality of objects, forming object-oriented labeled datasets based on an event and the attributes of each of the datasets; forming a library or framework of classes with a plurality of object-orientation modelors; and forming a plurality of object-manipulation functions, each function being configured to leverage a respective class among the library or framework of classes.

Techniques and solutions are described for configuring a computer-implemented process defined by a data model. The data model includes a plurality of data objects, each data object having an object type. Displays are rendered that request selection of first and second values for respective first and second data objects of first and second object types. The first and second values are assigned to the respective first and second data objects. The computer-implemented process defined by the data model is executed, using the first and second values, to provide execution results.

Provided is a process including: writing classes using object-oriented modelling of modeling topics; scanning the classes to determine class definition information; receiving from a subscribing modeling object a request for a subscription to a given modeling topic in a given modeling topic class, the subscription request including a modeling topic filter to select the given modeling topic from a plurality of modeling topics described by the given modeling topic class; registering a modeling topic accessor associated with the subscribing modeling object and a modeling topic mutator associated with the subscribing modeling object; processing, through the modeling topic filter a modeling topic that is accessed through an accessor and is described by the modeling topic class, the modeling topic being received from a modeling publisher object; notifying the subscribing object of the received modeling topic through a registered modeling topic listener; and mutating the received modeling topic.

Provided is a process including: writing, with a computing system, a first plurality of classes using object-oriented modelling of modelling methods; writing, with the computing system, a second plurality of classes using object-oriented modelling of governance; scanning, with the computing system, a set of libraries collectively containing both modelling object classes among the first plurality of classes and governance classes among the second plurality of classes to determine class definition information; using, with the computing system, at least some of the class definition information to produce object manipulation functions, wherein the object manipulation functions allow a governance system to access methods and attributes of classes among first plurality of classes or the second plurality of classes to manipulate objects of at least some of the modelling object classes; and using at least some of the class definition information to effectuate access to the object manipulation functions.

Provided is a process of modeling methods organized in racks of a machine learning pipeline to facilitate optimization of performance using modelling methods for implementation of machine learning design in an object-oriented modeling (OOM) framework, the process including: writing classes using object-oriented modelling of optimization methods, modelling methods, and modelling racks; writing parameters and hyper-parameters of the modeling methods as attributes as the modeling methods; scanning modelling racks classes to determine first class definition information; selecting a collection of rack and selecting modeling method objects; scanning modelling method classes to determine second class definition information; assigning racks and locations within the racks to modeling method objects; and invoking the class definition information to produce object manipulation functions that allow access the methods and attributes of at least some of the modeling method objects, the manipulation functions being configured to effectuate writing locations within racks and attributes of racks.

Provided is a process including: writing modelling-object classes using object-oriented modelling of the modelling methods, the modelling-object classes being members of a set of class libraries; writing quality-management classes using object-oriented modelling of quality management, the quality-management classes being members of the set of class libraries; scanning modelling-object classes in the set of class libraries to determine modelling-object class definition information; scanning quality-management classes in the set of class libraries to determine quality-management class definition information; using the modelling-object class definition information and the quality-management class definition information to produce object manipulation functions that allow a quality management system to access methods and attributes of modelling-object classes to manipulate objects of the modelling-object classes; and using the modelling-object class definition information and the quality-management class definition information to produce access to the object manipulation functions.

Systems and devices for coordinating heterogeneous processes of a software application to comply with multiple address spaces or other computing system constraints are disclosed. In an example, operations for coordinating data processing among multiple processes of a software application include: executing a first process of the software application, as the first process operates with a first capability that is limited to an operational constraint of the computing system; initiating a second process of the software application, as the second process is initiated as a child of the first process, and as the second process operates with a second capability that exceeds the operational constraint of the computing system; communicating data from the first process of the software application to the second process; and receiving data from the second process of the software application, in response to the data being processed by the data analysis operations of the second process.