Abstract: An example method includes receiving, by one or more processors, a representation of an utterance spoken at a computing device; identifying, by a first computational agent from a plurality of computational agents and based on the utterance, a multi-element task to be performed, wherein the plurality of computational agents includes one or more first party computational agents and a plurality of third-party computational agents; and performing, by the first computational agent, a first sub-set of elements of the multi-element task, wherein performing the first sub-set of elements comprises selecting a second computational agent from the plurality of computational agents to perform a second sub-set of elements of the multi-element task.

Abstract: An example method includes receiving, by one or more processors, a representation of an utterance spoken at a computing device; identifying, by a first computational agent from a plurality of computational agents and based on the utterance, a multi-element task to be performed, wherein the plurality of computational agents includes one or more first party computational agents and a plurality of third-party computational agents; and performing, by the first computational agent, a first sub-set of elements of the multi-element task, wherein performing the first sub-set of elements comprises selecting a second computational agent from the plurality of computational agents to perform a second sub-set of elements of the multi-element task.

Abstract: An example method includes receiving, by one or more processors, a representation of an utterance spoken at a computing device; identifying, by a first computational agent from a plurality of computational agents and based on the utterance, a multi-element task to be performed, wherein the plurality of computational agents includes one or more first party computational agents and a plurality of third-party computational agents; and performing, by the first computational agent, a first sub-set of elements of the multi-element task, wherein performing the first sub-set of elements comprises selecting a second computational agent from the plurality of computational agents to perform a second sub-set of elements of the multi-element task.

Abstract: A system and methods for versioning software components in connection with a computer programming language are provided. In exemplary aspects, the versioning system makes use of intelligent defaults, provides a vehicle for unambiguous specification of developer intent and implements conflict resolution rules in connection with the versioning of software components. In another aspect, the versioning system bounds names at run-time, but does not bound offsets at compile-time.

Abstract: A method and system for compiling multiple source language files that share a common library. The common library is represented in a common language that can be used by multiple different source languages. Font end compiler systems read the common language files that make up the common library and the source language files that use the library. Additionally, the front end systems produce common language files. The common language files produced by the front end systems can be used in the common library. The common language files may also be supplied to a back end system or runtime environment that further compiles the common language file to an executable form and executes the file. At runtime, the common language file is used by the runtime environment to layout the objects and methods used during execution.

Abstract: Checking program elements and program element behaviors for adherence to software development rules. An analysis engine receives a rule assembly containing metadata and intermediate language instructions representing one or more rules. The analysis engine also receives a target assembly containing metadata and intermediate language instructions representing one or more program elements and/or one or more program element behaviors. The analysis engine identifies (e.g., through reflection or retrieval of intermediate language instructions) a program element or program element behavior from the target assembly that is to be checked for adherence to a rule from the rule assembly. The analysis engine applies the rule to the program element or program element behavior to check the program element or program element behavior for adherence to the rule. Results can be stored for later viewing by a programmer.

Abstract: A system and methods for versioning software components in connection with a computer programming language are provided. In exemplary aspects, the versioning system makes use of intelligent defaults, provides a vehicle for unambiguous specification of developer intent and implements conflict resolution rules in connection with the versioning of software components. In another aspect, the versioning system bounds names at run-time, but does not bound offsets at compile-time.

Abstract: A method and system for compiling multiple source language files that share a common library. The common library is represented in a common language that can be used by multiple different source languages. Font end compiler systems read the common language files that make up the common library and the source language files that use the library. Additionally, the front end systems produce common language files. The common language files produced by the front end systems can be used in the common library. The common language files may also be supplied to a back end system or runtime environment that further compiles the common language file to an executable form and executes the file. At runtime, the common language file is used by the runtime environment to layout the objects and methods used during execution.

Abstract: A method and system for compiling multiple source language files that share a common library. The common library is represented in a common language that can be used by multiple different source languages. Font end compiler systems read the common language files that make up the common library and the source language files that use the library. Additionally, the front end systems produce common language files. The common language files produced by the front end systems can be used in the common library. The common language files may also be supplied to a back end system or runtime environment that further compiles the common language file to an executable form and executes the file. At runtime, the common language file is used by the runtime environment to layout the objects and methods used during execution.

Abstract: Checking program elements and program element behaviors for adherence to software development rules. An analysis engine receives a rule assembly containing metadata and intermediate language instructions representing one or more rules. The analysis engine also receives a target assembly containing metadata and intermediate language instructions representing one or more program elements and/or one or more program element behaviors. The analysis engine identifies (e.g., through reflection or retrieval of intermediate language instructions) a program element or program element behavior from the target assembly that is to be checked for adherence to a rule from the rule assembly. The analysis engine applies the rule to the program element or program element behavior to check the program element or program element behavior for adherence to the rule. Results can be stored for later viewing by a programmer.