公开(公告)号：US20150347279A1

公开(公告)日：2015-12-03

申请号：US14294337

申请日：2014-06-03

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： RAMESH SETHU ,  SHIGE WANG

IPC: G06F11/36

CPC classification number: G06F11/3684 ,  G06F11/3636 ,  G06F11/368

Abstract: A method of establishing traceability for embedded software systems. A design code database is provided for an embedded software system. A test suite database including a plurality of test cases is structured for testing design code of the embedded software system. The structuring of the test cases provides a correspondence from a respective test case to a respective portion of the design code. A processor receives a design code modification to the embedded software. An associated test case is identified for testing the modified design code being based on traceability data. The associated test case is revised to accommodate the modified design code. The modified test cases are integrated into the test suite. A traceability database establishes a one-to-one correspondence between the modified design coder and the modified test case is updated.

Abstract translation: 一种为嵌入式软件系统建立可追溯性的方法。 为嵌入式软件系统提供设计代码数据库。 包括多个测试用例的测试套件数据库被构造用于测试嵌入式软件系统的设计代码。 测试用例的结构化提供了从相应测试用例到设计代码的相应部分的对应关系。 处理器接收嵌入式软件的设计代码修改。 识别相关的测试用例，用于测试基于可追溯性数据的修改后的设计代码。 修改相关测试用例以适应修改后的设计代码。 修改后的测试用例集成到测试套件中。 可追溯性数据库在修改后的设计编码器和修改的测试用例之间建立一对一的对应关系。

公开(公告)号：US20180373266A1

公开(公告)日：2018-12-27

申请号：US15632802

申请日：2017-06-26

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： RAMESH SETHU ,  ARUN ADITHTHAN ,  SHUQING ZENG ,  UPALI P. MUDALIGE

IPC: G05D1/02 ,  H04W4/04

Abstract: A crowdsourced virtual sensor generator is provided which could be generated by a vehicle or provided to the vehicle as, for example, a service. The crowdsourced virtual sensor generator may include, but is not limited to, a communication system configured to receive contributing vehicle sensor data from one or more contributing vehicles, a location of the one or more contributing vehicles and a target vehicle, and a processor, the processor configured to filter the received contributing vehicle sensor data based upon the location of the one or more contributing vehicles and the location of the target vehicle, aggregate the filtered contributing vehicle sensor data into at least one of a data-specific dataset and an application-specific data set, and generate a virtual sensor for the target vehicle, the virtual sensor processing the filtered and aggregated contributing vehicle sensor data to generate output data relative to the location of the target vehicle.

公开(公告)号：US20150286631A1

公开(公告)日：2015-10-08

申请号：US14243972

申请日：2014-04-03

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： RAMESH SETHU ,  PRAKASH M. PERANANDAM ,  DNYANESH RAJPATHAK ,  SOUMEN DE

IPC: G06F17/28

CPC classification number: G06F17/2211 ,  G06F17/277 ,  G06F17/2775 ,  G06F17/2785

Abstract: A method of automatic identifying linking relationships of requirements in a plurality of requirement documents. Terms in the plurality of requirement documents are identified. A part-of-speech tag is assigned to each term. Each identified term is selected as a focal term. Co-occurring terms within a predetermined distance of the selected focal term are determined. A linking relationship probability is calculated for each co-occurring term associated with the selected focal term. The selected focal terms and associated co-occurring terms between the plurality of requirement documents are compared. A degree of linking relationship is identified between two requirements as a function of a comparison between selected focal terms and the associated co-occurring terms between the plurality of requirement documents. An analysis report identifying the degree of linking relationships between two respective requirements is output.

Abstract translation: 一种在多个要求文件中自动识别需求的链接关系的方法。 识别多个要求文件中的术语。 词性标签被分配给每个术语。 每个确定的术语被选为重点术语。 确定所选焦点项的预定距离内的共出现项。 针对与所选焦点项相关联的每个共同出现项计算链接关系概率。 比较多个要求文件之间的选定的焦点项和相关联的共同词。 在两个要求之间确定了一定程度的链接关系，作为所选择的焦点项与多个要求文档之间的相关联的发生项之间的比较的函数。 输出一个分析报告，确定两个相关需求之间的链接关系程度。