Machine learning-based universal software component identification
US-12175241-B1 · Dec 24, 2024 · US
Effective feature location in large legacy systems
US2016321069A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016321069-A1 |
| Application number | US-201514700772-A |
| Country | US |
| Kind code | A1 |
| Filing date | Apr 30, 2015 |
| Priority date | Apr 30, 2015 |
| Publication date | Nov 3, 2016 |
| Grant date | — |
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Abstract
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A fine-grained behavior model matching based method and system for effective feature location in large legacy systems. A feature behavior analyzer extracts internal behaviors of a feature under requesting based on NLP techniques or writing rules of the feature specification and generates a feature behavior model. A method uses multiple information sources associated with each method under analyzing to generate an expressive behavior signature for each method. The method integrates control flow information of each method and the signature information of its callees, and generates a CFG-based behavior model. A feature location identifier identifies and ranks the feature-related code locations based on a similarity between the feature behavior and the code behavior models. In one aspect, “use cases”, “source code repository” and “issue tracking system” are historical information of existing applications that are used to help understand each code unit of legacy systems applications, and recommend code units related with the given feature description.
First claim
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What is claimed is: 1 . A computer-implemented method for effective feature location in software code comprising: receiving a specification of a software feature implementation to be located in software code, generating a feature behavior model specifying one or more of: an action and/or entity “master” behavior and a action and/or entity “slave” behavior; accessing methods and related artifacts from a source code repository; generating an expressive behavior signature for…
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- What does patent US2016321069A1 cover?
- A fine-grained behavior model matching based method and system for effective feature location in large legacy systems. A feature behavior analyzer extracts internal behaviors of a feature under requesting based on NLP techniques or writing rules of the feature specification and generates a feature behavior model. A method uses multiple information sources associated with each method under analy…
- Who is the assignee on this patent?
- IBM
- What technology area does this patent fall under?
- Primary CPC classification G06F8/75. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Thu Nov 03 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).