The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 25, 2024
Filed:
Sep. 23, 2022
Amazon Technologies, Inc., Seattle, WA (US);
Jiangtao Zhang, Pleasanton, CA (US);
Mark Fawaz, Dublin, CA (US);
Vivek Chawda, San Jose, CA (US);
Sreenaath Vasudevan, Cupertino, CA (US);
Ramu Panayappan, Sunnyvale, CA (US);
Abdul Jabbar Abdul Rasheed, San Jose, CA (US);
Donghao Wei, San Jose, CA (US);
Javier Arturo Thiele-Ruiz, Saratoga, CA (US);
Kanishk Kaul, Sunnyvale, CA (US);
Pranav Prabhakar Firake, San Jose, CA (US);
Emery Jacob Comstock, Sunnyvale, CA (US);
Amazon Technologies, Inc., Seattle, WA (US);
Abstract
Techniques are described for assisting users with the process of modernizing software applications from a source software architectural pattern (e.g., a model—view—controller (MVC) pattern, a multitier architecture, etc.) to a target architectural pattern (e.g., microservices, event-driven architecture, etc.). A decomposition analyzer receives as input artifacts associated with a software application under analysis and an architectural pattern that a user desires to use for a modernized version of the software application. The decomposition analyzer generates, based on the application artifacts, a graph-based model of the software application, where the model includes nodes representing application components (e.g., classes) and edges representing dependency relationships among the components. The decomposition analyzer further uses machine learning techniques and other types of analyses to identify recommended groupings of nodes from the graph-based model for decomposition. These recommendations can be displayed to users in a visualization providing decomposition assessment information.