9 results about "Software analytics" patented technology

[Problem] The objective is to realize a technical due diligence support method that makes it easier to understand the results of software analysis. [Solution] A due diligence support method for evaluating the technical capabilities and software quality of a prospective acquisition company of a business operator, which is performed by a management terminal according to one embodiment of the present invention, wherein the control unit of the management terminal refers to information on the source code disclosed by the developer of the prospective acquisition company, performs an analysis to evaluate the technical capabilities and quality based on the information on the source code, and generates a report evaluating the technical capabilities and quality based on the analysis results. [Selected Figure] Figure 8

The application discloses a high-voltage switch cabinet fault diagnosis system, and relates to the technical field of power equipment monitoring and fault diagnosis.The system is a comprehensive diagnosis system relying on hardware collection and software analysis.The system comprises a fault information collection module, a data preprocessing unit, a multi-dimension feature extraction module, a fusion diagnosis engine and a diagnosis result output module.The application has the following innovative points: for the first time, five types of sensors, i.e.temperature sensors, partial discharge sensors, arc light sensors, electrical parameter sensors and vibration sensors, are integrated;the arc light sensors adopt a triangular redundant monitoring network;the vibration sensors compensate for the blank of mechanical fault monitoring;the system covers all types of faults of a switch cabinet, such as thermal faults, insulation faults, arc faults and mechanical faults, and greatly reduces the false negative rate.

This invention relates to the field of software testing technology, specifically to an adaptive fuzz testing method and system based on deep learning, comprising the following steps: injecting software analysis instrumentation probes into the binary conditional jump instruction locations of the target test program; loading an initial test case set to perform branch execution operations of the program logic; generating instrumentation execution trajectory data; and inputting the instrumentation execution trajectory data into a multivariate fitting calculation structure. In this invention, a high-priority scheduling mechanism triggered by sparsity is used to dynamically adjust the execution order of the test sequence, ensuring that computing resources are concentrated on test cases located at the exploration boundary or uncovered logic regions. This mechanism breaks the traditional testing's tendency to fall into local optima, guides the testing direction from the novelty dimension of data distribution, enhances the ability to mine deep program paths, and improves the coverage and overall efficiency of vulnerability detection.

This invention relates to an online inspection device and method for assembling thin-walled bearings. The inspection device employs flexible clamping and a non-contact infrared scanning probe during the inspection process, strictly controlling deformation risks and ensuring accurate measurement data. It includes a software analysis system, achieving closed-loop management from hardware control to data analysis. The assembly method reconstructs the ring morphology based on the inspection data, obtains the ring radial runout data, and performs fitting judgment through virtual assembly. Fit judgment can be completed online without trial assembly, thus avoiding the problem of disassembly and reassembly due to unqualified finished bearings, effectively improving production efficiency and product yield, and ensuring the consistency of finished bearing precision. Furthermore, it proposes the concept of bearing identification and database management. By combining bearing identification and database management, it supports rapid switching and assembly of different thin-walled bearing rings, meeting the needs of small-batch, high-precision manufacturing for high-end equipment.

The application provides a use scenario and knowledge base driven fault mode identification and analysis method, which can effectively identify complex fault modes and robust test case design without omission. The robust test design based on the use scenario needs to research the technical methods such as use scenario construction, use scenario based basic software FMEA analysis criterion, use scenario and knowledge base driven software FMEA analysis process, realizes the description of abnormal test scenarios such as error data processing, abnormal situation processing and illegal operation processing, simultaneously describes the combination test scenario based on the software use profile, simultaneously performs the robust test case design covering the fault modes based on the FMEA analysis result, and supports the software development and test personnel to carry out the software FMEA analysis, robust requirement acquisition and other work in the development process.

Disclosed herein are systems and method for machine learning (ML)-assisted analysis of scientific or technical documents and associated software code, the method comprising: retrieving a scientific or technical document and a software code associated with the scientific or technical document, the software code including executable code and / or source code; analyzing the scientific or technical document using a trained paper analysis ML model configured to identify subject matter, logic, algorithms, and / or parameters of the scientific or technical document; analyzing the software code using a trained software analysis ML model configured to identify subject matter, logic, algorithms, and / or parameters of the software code; and comparing the algorithms and parameters of the scientific or technical document with the algorithms and parameters of the associated software code to identifying corresponding algorithms and parameters in the scientific or technical document and the software code.

The application belongs to the technical field of PLC and specifically relates to an online monitoring method of a lower computer, which is applied to an upper computer and comprises the following steps: after logging in the upper and lower computers, a first engineering software installed in the lower computer is acquired; a compilation product of the first engineering software is analyzed to identify first syntax information defined by each code variable in the first engineering software; a compilation product of a second engineering software is analyzed to identify second syntax information defined by each code variable in the second engineering software according to the second engineering software imported in advance; wherein the code variable compiled by the first engineering software and the code variable compiled by the second engineering software are both identified by a variable name of the code variable itself; the first syntax information and the second syntax information of the code variable with the same identification are compared based on the unique identification of the code variable, and whether the first engineering software and the second engineering software are consistent is confirmed according to a comparison result of all the code variables, so as to remind an operation and maintenance personnel to replace the second engineering software after confirming inconsistency.