- 专利标题: Root cause analysis in dynamic software testing via probabilistic modeling
-
申请号: US16543044申请日: 2019-08-16
-
公开(公告)号: US10887336B2公开(公告)日: 2021-01-05
- 发明人: Supriyo Chakraborty , Omer Tripp
- 申请人: International Business Machines Corporation
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 代理机构: Amin, Turocy & Watson, LLP
- 主分类号: G06F21/00
- IPC分类号: G06F21/00 ; H04L29/06 ; G06N7/00 ; G06F11/36
摘要:
Techniques for performing root cause analysis in dynamic software testing via probabilistic modeling are provided. In one example, a computer-implemented method comprises initializing, by a system operatively coupled to a processor, a threshold value, a defined probability value, and a counter value. The computer-implemented method also includes, in response to determining, by the system, that a probability value assigned to a candidate payload of one or more candidate payloads exceeds the defined probability value, and in response to determining, by the system, that the counter value exceeds the threshold value: determining, by the system, that a match exists between the candidate payload and an input point based on an application of the candidate payload to the input point resulting in a defined condition, wherein the one or more candidate payloads are represented by population data accessed by the system.
信息查询