公开(公告)号：US20180196740A1

公开(公告)日：2018-07-12

申请号：US15831959

申请日：2017-12-05

Applicant: Microsoft Technology Licensing, LLC

Inventor： Vishwanath Narasimhan ,  Anandha K. Ganesan

IPC: G06F11/36 ,  G06F11/00 ,  G06F8/70 ,  G06F8/77

CPC classification number: G06F11/3688 ,  G06F8/70 ,  G06F8/77 ,  G06F11/008

Abstract: Techniques are described herein that are capable of performing automatic risk analysis of software. An automatic risk analyzer may determine correlations between binaries of the software and source files of the software, between the source files and functions (i.e., sub-routines) of the software, between changes to source code of the software and defects, new features, and/or feature enhancements in the software, between attributes of the software (e.g., attributes associated with the changes to the source code), etc. at various time instances. The automatic risk analyzer may compare the correlations corresponding to a first time instance and the correlations corresponding to a second time instance to determine any of a variety of temporal relationships regarding underlying factors, including but not limited to new feature(s), feature enhancement(s), defect(s), churn rate, code coverage, code complexity, etc. The automatic risk analyzer may determine risk(s) for the software based on the temporal relationships.

公开(公告)号：US20160342503A1

公开(公告)日：2016-11-24

申请号：US15230379

申请日：2016-08-06

Applicant: Microsoft Technology Licensing, LLC

Inventor： Vishwanath Narasimhan ,  Anandha K. Ganesan

IPC: G06F11/36 ,  G06F9/44

CPC classification number: G06F11/3688 ,  G06F8/70 ,  G06F8/77 ,  G06F11/008

Abstract: Techniques are described herein that are capable of performing automatic risk analysis of software. An automatic risk analyzer may determine correlations between binaries of the software and source files of the software, between the source files and functions (i.e., sub-routines) of the software, between changes to source code of the software and defects, new features, and/or feature enhancements in the software, between attributes of the software (e.g., attributes associated with the changes to the source code), etc. at various time instances. The automatic risk analyzer may compare the correlations corresponding to a first time instance and the correlations corresponding to a second time instance to determine any of a variety of temporal relationships regarding underlying factors, including but not limited to new feature(s), feature enhancement(s), defect(s), churn rate, code coverage, code complexity, etc. The automatic risk analyzer may determine risk(s) for the software based on the temporal relationships.

Abstract translation: 本文描述了能够执行软件的自动风险分析的技术。 自动风险分析器可以确定软件的二进制文件和软件的源文件之间的关系，源软件的源文件和功能（即子程序）之间，软件源代码的更改与缺陷，新功能， 和/或软件的功能增强，软件的属性（例如，与源代码的变化相关联的属性）等。 自动风险分析器可以比较对应于第一时间实例的相关性和对应于第二时间实例的相关性，以确定关于潜在因素的各种时间关系中的任何一个，包括但不限于新特征，特征增强（ s），缺陷，流失率，代码覆盖率，代码复杂度等。自动风险分析器可以基于时间关系确定软件的风险。

公开(公告)号：US10747652B2

公开(公告)日：2020-08-18

申请号：US15831959

申请日：2017-12-05

Applicant: Microsoft Technology Licensing, LLC

Inventor： Vishwanath Narasimhan ,  Anandha K. Ganesan

IPC: G06F9/44 ,  G06F9/445 ,  G06F9/45 ,  G06F11/36 ,  G06F11/00 ,  G06F8/77 ,  G06F8/70

Abstract: Techniques are described herein that are capable of performing automatic risk analysis of software. An automatic risk analyzer may determine correlations between binaries of the software and source files of the software, between the source files and functions (i.e., sub-routines) of the software, between changes to source code of the software and defects, new features, and/or feature enhancements in the software, between attributes of the software (e.g., attributes associated with the changes to the source code), etc. at various time instances. The automatic risk analyzer may compare the correlations corresponding to a first time instance and the correlations corresponding to a second time instance to determine any of a variety of temporal relationships regarding underlying factors, including but not limited to new feature(s), feature enhancement(s), defect(s), churn rate, code coverage, code complexity, etc. The automatic risk analyzer may determine risk(s) for the software based on the temporal relationships.

公开(公告)号：US09448792B2

公开(公告)日：2016-09-20

申请号：US13826433

申请日：2013-03-14

Applicant: Microsoft Technology Licensing, LLC

Inventor： Vishwanath Narasimhan ,  Anandha K. Ganesan

IPC: G06F9/44 ,  G06F11/00

CPC classification number: G06F11/3688 ,  G06F8/70 ,  G06F8/77 ,  G06F11/008

Abstract: Techniques are described herein that are capable of performing automatic risk analysis of software. An automatic risk analyzer may determine correlations between binaries of the software and source files of the software, between the source files and functions (i.e., sub-routines) of the software, between changes to source code of the software and defects, new features, and/or feature enhancements in the software, between attributes of the software (e.g., attributes associated with the changes to the source code), etc. at various time instances. The automatic risk analyzer may compare the correlations corresponding to a first time instance and the correlations corresponding to a second time instance to determine any of a variety of temporal relationships regarding underlying factors, including but not limited to new feature(s), feature enhancement(s), defect(s), churn rate, code coverage, code complexity, etc. The automatic risk analyzer may determine risk(s) for the software based on the temporal relationships.

Abstract translation: 本文描述了能够执行软件的自动风险分析的技术。 自动风险分析器可以确定软件的二进制文件和软件的源文件之间的关系，源软件的源文件和功能（即子程序）之间，软件源代码的更改与缺陷，新功能， 和/或软件的功能增强，软件的属性（例如，与源代码的变化相关联的属性）等。 自动风险分析器可以比较对应于第一时间实例的相关性和对应于第二时间实例的相关性，以确定关于潜在因素的各种时间关系中的任何一个，包括但不限于新特征，特征增强（ s），缺陷，流失率，代码覆盖率，代码复杂度等。自动风险分析器可以基于时间关系确定软件的风险。

公开(公告)号：US09864678B2

公开(公告)日：2018-01-09

申请号：US15230379

申请日：2016-08-06

Applicant: Microsoft Technology Licensing, LLC

Inventor： Vishwanath Narasimhan ,  Anandha K. Ganesan

IPC: G06F9/45 ,  G06F11/36 ,  G06F11/00 ,  G06F9/44

CPC classification number: G06F11/3688 ,  G06F8/70 ,  G06F8/77 ,  G06F11/008

Abstract: Techniques are described herein that are capable of performing automatic risk analysis of software. An automatic risk analyzer may determine correlations between binaries of the software and source files of the software, between the source files and functions (i.e., sub-routines) of the software, between changes to source code of the software and defects, new features, and/or feature enhancements in the software, between attributes of the software (e.g., attributes associated with the changes to the source code), etc. at various time instances. The automatic risk analyzer may compare the correlations corresponding to a first time instance and the correlations corresponding to a second time instance to determine any of a variety of temporal relationships regarding underlying factors, including but not limited to new feature(s), feature enhancement(s), defect(s), churn rate, code coverage, code complexity, etc. The automatic risk analyzer may determine risk(s) for the software based on the temporal relationships.