Invention Grant
- Patent Title: Root cause analysis in dynamic software testing via probabilistic modeling
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Application No.: US15204762Application Date: 2016-07-07
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Publication No.: US10404734B2Publication Date: 2019-09-03
- Inventor: Supriyo Chakraborty , Omer Tripp
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Amin, Turocy & Watson, LLP
- Main IPC: G06F21/00
- IPC: G06F21/00 ; H04L29/06 ; G06N7/00 ; G06F11/36

Abstract:
Techniques for performing root cause analysis in dynamic software testing via probabilistic modeling are provided. In one example, a computer-implemented method includes 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.
Public/Granted literature
- US20180013781A1 ROOT CAUSE ANALYSIS IN DYNAMIC SOFTWARE TESTING VIA PROBABILISTIC MODELING Public/Granted day:2018-01-11
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