Jonathan Napier Morales

20190236138, Aug 1, 2019

Jan 31, 2018

15/885355

- San Francisco CA, US
Jonathan Rico MORALES - San Francisco CA, US
Jacob MUMM - San Francisco CA, US
Karson MILLER - El Sobronte CA, US

G06F 17/27
H04L 12/58

This disclosure relates to configuration tools for interactive agents, sometimes referred to as bots, chatbots, virtual robots, or talkbots. Such interactive agents utilize slots for organizing and storing data received as inputs and displayed as outputs. These slots can be configured such that a slot is temporary and does not persist beyond its source dialog. Slots can also be configured such that a slot is pre-populated with information contain in incoming passed parameters.

20190213061, Jul 11, 2019

Jan 11, 2018

15/867799

- San Francisco CA, US
Jonathan Rico Morales - San Francisco CA, US
Carlos Enrique Mogollan Jimenez - San Francisco CA, US

G06F 9/54
G06F 3/0482
G06F 21/31

In accordance with embodiments, there are provided mechanisms and methods for facilitating client-based control and experience of application programming interfaces in an on-demand services environment according to one embodiment. In one embodiment and by way of example, a method comprises offering, by application programming interface (API)-usage server device (“API-usage device”), a client interface package including a user interface for facilitating client-based control of APIs at a client computing device over a network. The method may further include facilitating, by the API-usage device, the client-based control of the APIs using an API menu accessible through the user interface, where the API menu is selectively populated with one or more of documentation, working code samples, and application protocol clients.

20170075791, Mar 16, 2017

Apr 28, 2016

15/140803

- San Francisco CA, US
Scott Glaser - Dublin CA, US
Vamshidhar Rao Gandham - Newark CA, US
Ashwin Simha Reddy Vengareddy - Fremont CA, US
Jonathan Rico Morales - San Francisco CA, US

salesforce.com, inc. - San Francisco CA

G06F 11/36
G06F 3/0484

Computer implemented methods and systems are provided for executing tests in a system that includes a user system and a cloud-based computing platform communicatively coupled to the user system. The user system includes a processing system, memory and an input system that receives input parameters specified by a user of the user system. The memory can store a test class filter module executable by the processing system. Upon being executed by the processing system, the test class filter module can, based on one or more of the input parameters, group and filter test class identifiers to generate a unique test class identifier array of filtered test class identifiers that correspond to a particular subset of tests that are to be executed during testing of an application. A test execution engine of the cloud-based computing platform can then execute the particular subset of tests corresponding to the filtered test class identifiers specified in the unique test class identifier array.

20170075794, Mar 16, 2017

Apr 28, 2016

15/140771

- San Francisco CA, US
Scott Glaser - Dublin CA, US
Vamshidhar Rao Gandham - Newark CA, US
Ashwin Simha Reddy Vengareddy - Fremont CA, US
Jonathan Rico Morales - San Francisco CA, US

salesforce.com, inc. - San Francisco CA

G06F 11/36

Computer implemented methods and systems are provided for computing code coverage in a system that includes a user system and a cloud-based computing platform. The user system includes a processing system, memory and an input system that receives input parameters specified by a user of the user system. The memory can store a source class filter module executable by the processing system. Upon being executed by the processing system, the source class filter module can, based on one or more of the input parameters, group and filter source class identifiers to generate a unique source class identifier array of filtered source class identifiers that correspond to a particular subset of source classes that targeted code coverage metrics are to be computed for during code coverage computations when testing an application. A code coverage computation unit can then compute the targeted code coverage metrics for the particular subset of source classes corresponding to the filtered source class identifiers of the unique source class identifier array.