Adobe, Inc.

Sreenivas Ramaswamy

Sameer Bhatt

Reetesh Mukul

Mayank Kumar

Sudhir Tubegere Shankaranarayana

Ramesh Srinivasaraghavan

Mayuri Jain

Sunil Bannur

Bhakti Ramnani

Gaurav Priyadarshi

Sachin Tripathi

A context-based recommendation system for feature search automatically identifies features of a feature-rich system (e.g., an application) based on the program code of the feature-rich system and additional data corresponding to the feature-rich system. A code workflow graph describing workflows in the program code is generated. Various data corresponding to the feature-rich system, such as help data, analytics data, social media data, and so forth is obtained. The code workflow graph and the data are analyzed to identify sentences in the workflow. These sentences are used to a train machine learning system to generate one or more recommendations. In response to a user query, the machine learning system generates and outputs as recommendations workflows identified based on the user query.

Context-based recommendation system for feature search

Embodiments include a method comprising providing a design interface that depicts a plurality of interface elements of an application under development, each element defined in source code accessible by the application development environment in a declarative markup language. The method can comprise receiving, through the design interface, data representing a selection of a plurality of the interface elements, identifying the declarative expressions corresponding to the selected interface elements, defining a new declarative expression, and generating at least one code segment using the identified declarative expressions. The method an comprise storing the generated code segment in a computer readable medium, with the stored code segment associated with the new declarative expression, so that the new declarative expression can be inserted into the source code in place of the identified declarative expressions and/or can used in a second application under development.

Methods and systems for visual code refactoring

Growing community of inventors

Bengaluru, India

Sreenivas Ramaswamy