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公开(公告)号：US08910120B2
公开(公告)日：2014-12-09
申请号：US12718389
申请日：2010-03-05
申请人： Gopal Ranganatha Srinivasa , Vipindeep Vangala , Balasubramanyan Ashok , Sriram Rajamani , Jacek Czerwonka , Hongkang Liang , Joseph M. Joy
发明人： Gopal Ranganatha Srinivasa , Vipindeep Vangala , Balasubramanyan Ashok , Sriram Rajamani , Jacek Czerwonka , Hongkang Liang , Joseph M. Joy
摘要： Software debugging recommendation technique embodiments are presented that generally entails creating a database of characterized software bug descriptions and providing software debugging recommendations from the database in response to a query. This can employ a two-phased approach in the search for similar software bugs. The first is a search phase that takes a query as input and returns a ranked list of software bug descriptions that match the query. These bug descriptions can contain a mix of structured and unstructured data. The second phase is a related-information phase that uses the output of the first phase to retrieve a set of related recommendations such as for people, source files, functions and binaries.
摘要翻译： 提出了软件调试推荐技术实施例，其通常需要创建特征软件错误描述的数据库，并且响应于查询提供来自数据库的软件调试建议。 这可以采用两阶段的方法来搜索类似的软件错误。 第一个是搜索阶段，它将查询作为输入，并返回与查询匹配的软件错误描述的排名列表。 这些错误描述可以包含结构化和非结构化数据的混合。 第二阶段是一个相关信息阶段，使用第一阶段的输出来检索一组相关的建议，如人，源文件，函数和二进制文件。
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公开(公告)号：US20110219360A1
公开(公告)日：2011-09-08
申请号：US12718389
申请日：2010-03-05
申请人： Gopal Ranganatha Srinivasa , Vipindeep Vangala , Balasubramanyan Ashok , Sriram Rajamani , Jacek Czerwonka , Hongkang Liang , Joseph M. Joy
发明人： Gopal Ranganatha Srinivasa , Vipindeep Vangala , Balasubramanyan Ashok , Sriram Rajamani , Jacek Czerwonka , Hongkang Liang , Joseph M. Joy
摘要： Software debugging recommendation technique embodiments are presented that generally entails creating a database of characterized software bug descriptions and providing software debugging recommendations from the database in response to a query. This can employ a two-phased approach in the search for similar software bugs. The first is a search phase that takes a query as input and returns a ranked list of software bug descriptions that match the query. These bug descriptions can contain a mix of structured and unstructured data. The second phase is a related-information phase that uses the output of the first phase to retrieve a set of related recommendations such as for people, source files, functions and binaries.
摘要翻译： 提出了软件调试推荐技术实施例，其通常需要创建特征软件错误描述的数据库，并且响应于查询提供来自数据库的软件调试建议。 这可以采用两阶段的方法来搜索类似的软件错误。 第一个是搜索阶段，它将查询作为输入，并返回与查询匹配的软件错误描述的排名列表。 这些错误描述可以包含结构化和非结构化数据的混合。 第二阶段是一个相关信息阶段，使用第一阶段的输出来检索一组相关的建议，如人，源文件，函数和二进制文件。
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