公开(公告)号：US20220317978A1

公开(公告)日：2022-10-06

申请号：US17220131

申请日：2021-04-01

Applicant: Microsoft Technology Licensing, LLC

Inventor： Titus BARIK ,  Gustavo ARAUJO SOARES ,  Piyush ARORA ,  Peter GROENEWEGEN ,  Sumit GULWANI ,  Ameya Sanjay KETKAR ,  Vu Minh LE ,  Wode NI ,  David Ellis PUGH ,  Arjun RADHAKRISHNA ,  Ivan RADICEK ,  Ashish TIWARI ,  Mark Alistair WILSON-THOMAS

IPC: G06F8/33 ,  G06F8/34 ,  G06F8/41

Abstract: Edit automation functionality generalizes edits performed by a user in a document, locates similar text, and recommends or applies transforms while staying within a current workflow. Source code edits such as refactoring are automated. The functionality uses or provides anchor target lists, temporal edit patterns, edit graphs, automatable edit sequence libraries, and other data structures and computational techniques for identifying locations appropriate for particular edits, for getting transforms, for selecting optimal transforms, for leveraging transforms in an editing session or later, and for displaying transform recommendations and results. The edit automation functionality enhances automation subtool generation, discoverability, and flexibility, for refactoring, snippet insertion, quick actions in an integrated development environment, and other automatable edit sequences.

公开(公告)号：US20220317979A1

公开(公告)日：2022-10-06

申请号：US17220156

申请日：2021-04-01

Applicant: Microsoft Technology Licensing, LLC

Inventor： Gustavo ARAUJO SOARES ,  Piyush ARORA ,  Titus BARIK ,  Peter GROENEWEGEN ,  Sumit GULWANI ,  Ameya Sanjay KETKAR ,  Vu Minh LE ,  Wode NI ,  David Ellis PUGH ,  Arjun RADHAKRISHNA ,  Ivan RADICEK ,  Ashish TIWARI ,  Mark Alistair WILSON-THOMAS

IPC: G06F8/33 ,  G06F16/901

Abstract: Edit automation functionality generalizes edits performed by a user in a document, locates similar text, and recommends or applies transforms while staying within a current workflow. Source code edits such as refactoring are automated. The functionality uses or provides anchor target lists, temporal edit patterns, edit graphs, automatable edit sequence libraries, and other data structures and computational techniques for identifying locations appropriate for particular edits, for getting transforms, for selecting optimal transforms, for leveraging transforms in an editing session or later, and for displaying transform recommendations and results. The edit automation functionality enhances automation subtool generation, discoverability, and flexibility, for refactoring, snippet insertion, quick actions in an integrated development environment, and other automatable edit sequences.

公开(公告)号：US20230289523A1

公开(公告)日：2023-09-14

申请号：US17693285

申请日：2022-03-11

Applicant: Microsoft Technology Licensing, LLC

Inventor： Rohan Jayesh BAVISHI ,  José Pablo CAMBRONERO SÁNCHEZ ,  Anna FARIHA ,  Sumit GULWANI ,  Vu Minh LE ,  Ivan RADICEK ,  Daniel Galen SIMMONS ,  Ashish TIWARI

IPC: G06F40/211 ,  G06F40/284 ,  G06F8/30 ,  G06F16/332

CPC classification number: G06F40/211 ,  G06F40/284 ,  G06F8/31 ,  G06F16/3329

Abstract: Techniques are described herein that are capable of creating a language-agnostic computer program repair engine generator. A context-free grammar is annotated to identify token(s) that are likely to be included in or excluded from a computer program in a manner that violates the context-free grammar. A language-agnostic computer program repair engine generator is created that is configured to generate a parser. The repair engine generator is configured to create a repair engine that: converts the candidate string into repaired strings that neither violate the context-free grammar nor violate a criterion for a valid computer program; calculates differences between the candidate string and the respective repaired strings; and replaces the candidate string with a designated repaired string based at least in part on the difference between the designated repaired string and the candidate string being less than or equal to a difference threshold.