17937438. SOFTWARE LICENSE-BASED CODE SUGGESTIONS simplified abstract (Amazon Technologies, Inc.)

SOFTWARE LICENSE-BASED CODE SUGGESTIONS

Organization Name

Amazon Technologies, Inc.

Inventor(s)

Pramod Chandra Samudrala of Mercer Island WA (US)

Sri Ranga Akhilesh Bontala of Bothell WA (US)

Matthew Lee of Elmhurst NY (US)

Yanitsa Donchev of Kirkland WA (US)

Zijian Wang of San Jose CA (US)

Yuchen Tian of Santa Clara CA (US)

Himani Amrish Shah of Seattle WA (US)

Rama Krishna Sandeep Pokkunuri of Redmond WA (US)

SOFTWARE LICENSE-BASED CODE SUGGESTIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17937438 titled 'SOFTWARE LICENSE-BASED CODE SUGGESTIONS

Simplified Explanation

The abstract describes a system for providing code suggestions based on licensing criteria. The system includes computing devices that implement a code suggestion service, which receives licensing criteria and generates code suggestions that satisfy the criteria.

• The system uses a source code attribution database to determine licenses for source code files.
• It generates a set of candidate code suggestions based on the source code files.
• The code suggestion service then filters the candidate suggestions to provide code suggestions that meet the specified licensing criteria.

Potential Applications

This technology could be applied in software development environments where developers need to ensure that the code they use complies with specific licensing requirements.

Problems Solved

This system helps developers easily find code suggestions that align with the licensing criteria they need to adhere to, saving time and effort in manually searching for compliant code.

Benefits

- Streamlines the process of finding code suggestions that meet licensing criteria - Reduces the risk of using code that does not comply with licensing requirements - Enhances overall code quality and compliance in software development projects

Potential Commercial Applications

"Code Suggestion System for Licensing Criteria Compliance" could be used in software development tools, code repositories, and integrated development environments to assist developers in selecting code that aligns with their licensing needs.

Possible Prior Art

One possible prior art could be tools or services that provide code suggestions based on specific programming languages or functionalities, but not necessarily focused on licensing criteria compliance.

Unanswered Questions

How does the system handle complex licensing scenarios involving multiple licenses for different parts of the codebase?

The abstract does not provide details on how the system manages complex licensing scenarios where different parts of the codebase may have different licenses. This could be a potential limitation of the system.

What measures are in place to ensure the accuracy and reliability of the source code attribution database used by the system?

The abstract does not mention any specific methods or processes for maintaining the accuracy and reliability of the source code attribution database, which could be crucial for the system's effectiveness.

Original Abstract Submitted

A system for providing code suggestions according to licensing criteria is described. The system comprises computing devices that implement a code suggestion service. The code suggestion service receives a request that specifies licensing criteria via an interface of the code suggestion service. The code suggestion service determines respective licenses for respective source code files according to a source code attribution database from parsing the plurality of source code files that are applicable to the plurality of source code files. The code suggestion service generates a set of candidate code suggestions based, at least in part, on the plurality of source code files. The code suggestion service determines code suggestions from the set of candidate code suggestions that satisfy the licensing criteria based on the respective licenses. The code suggestion service provides the code suggestions determined from the set of candidate source code files that satisfy the licensing criteria.