39 results about "Crash analysis" patented technology

The embodiment of the invention provides a crash analysis method and device and aims to solve the problem that causes for crash cannot be positioned in the prior art. The device comprises a monitoring point setting module, a monitoring and generating module, an acquisition and view module and an analysis positioning module, wherein the monitoring point setting module is suitable for respectively setting monitoring points in to-be-tested targets of a terminal in advance; the monitoring and generating module is suitable for monitoring the operation of each to-be-tested target and acquiring parameters of the monitoring points and parameter values which respectively correspond to the parameters when the to-be-tested targets crash to generate mirror image documents, wherein the parameter of the monitoring points comprise parameters of the monitoring points in the to-be-tested targets and parameters of monitoring points in the terminal; the acquisition and view module is suitable for acquiring the mirror image documents and viewing parameters of monitoring points in the mirror image documents and parameter values which respectively correspond to the parameters; and the analysis positioning module is suitable for analyzing the parameters of the monitoring points and the parameter values which respectively correspond to the parameters so as to position the causes for the crash of the to-be-tested targets; the monitoring point setting module is specifically suitable for analyzing the causes for the crash of the to-be-tested targets in advance to determine the key position at which the to-be-tested target crashes; and the monitoring points are respectively set at the key points.

A computer-implemented method for monitoring a crash analysis system is disclosed. Log messages are accessed pertaining to the operation of a crash analysis system for analyzing a core dump. The log messages are analyzed, at a processor, in order to generate operation results data. A graphic user interface for display on a computer is generated. The graphic user interface includes a graphical representation of the operation results data.

A deep learning based computer vision system to detect and analyses automobile crash videos comprises a crash detection module and a crash analysis module. The crash detection module uses dashcam video and or telemetry to detect the same. The usage of computer vision algorithm alongside the IMU sensor data make the system robust. The system uses a deep learning model which looks for an anomalous pattern in the video and/or the IMU signal to detect a crash. The system comprises different machine learning and deep learning based computer vision algorithm to analyze the crash detected videos. The system automates the labor-intensive task of reviewing crash videos and generates a crash report comprising accident type, road surface, weather condition and accident scenario among other things. The accident detection and analysis modules can reside on the vehicle as well as on the cloud based on the compute capabilities of the edge device.

A method, apparatus, and computer instructions for analyzing data from a crash of the data processing system. A portion of the memory in the data processing system is preserved in response to the crash of the data processing system. The data processing system is rebooted with an environment suited for analyzing trace data in the portion of the memory.

The invention discloses a method, a system and a device for collecting log, and a computer readable storage medium. The method includes collecting the target log of operating systems when faults of the operating systems are monitored; transmitting the target log to a BMC (baseboard management controller) via KCS (keyboard controller style) links to store the target log in the BMC. The method, thesystem, the device and the computer readable storage medium in an embodiment of the invention have the advantages that the target log can be transmitted to the BMC via the KCS links when faults of theoperating systems occur, and can be stored in the BMC, accordingly, the corresponding target log can be viewed or downloaded in the BMC when the operating systems crash, the current crash can be analyzed by the aid of the corresponding target log without reappearance of the faults, the crash analysis efficiency can be effectively improved, the crash durations can be shortened, and servers can bequickly put into normal use.

Embodiments of the present invention provide a method and apparatus for classifying and counting iOS crash data. The method comprises the following steps: automatically classifying the crash data, extracting calling statements belonging to an application in the whole calling stack by adopting a manner of reversely searching the calling stack, and outputting a preliminarily classified report; iteratively classifying the unclassified crash data through a compiled configuration file continuously, and outputting a recursively classified report after each iteration; and integrating the preliminaryclassified report and the recursively classified reports, and outputting a final report of the collapse analysis this time in combination with the final report of the collapse analysis at the previoustime.

A computer-implemented method for providing crash results for a computer system on a graphical user interface is disclosed. A component access control feature is displayed on a graphic user interface. The component access control feature enables a user to select a component and view crash results pertaining to the component. A graphical representation for display on the graphic user interface is generated. The graphical representation includes at least a portion of a signature back trace corresponding to a crash associated with the component.

A method is disclosed for estimating or predicting residual strains resulting from metal formation. The method includes determining parameters indicative of physical and spatial characteristics of elements representing a formed metal part. A maximum plastic strain resulting from the metal forming processes is then estimated, as a function of the physical and spatial characteristics of a first one of the elements and a subset of the elements.

A computer-implemented method assessing the risk of a future crash occurring on a computer system is disclosed. Crash results are received from a crash analysis system. The crash results are analyzed, at a processor, to determine the likelihood of the future crash occurring on the computer system. Information regarding the likelihood of the future crash occurring on the computer system is provided to a user of the computer system.

The invention discloses a browser crash data uploading and processing method and a browser crash data uploading and processing device. The method comprises that a browser generates crash, the basic information of the crash of the browser is uploaded to a server end through a GET interface, crash serial number information which is returned by the server end and generated according to the crash basic information is received, and under the condition that the crash serial number information indicates that the crash data is allowed to be uploaded, the crash data of the browser is uploaded to the server end from the browser through a POST interface. According to the browser crash data uploading and processing method and the browser crash data uploading and processing device, the crash data of the browser can be rapidly and safely transmitted to the server end to be stored, and preparation is made for follow-up crash analysis and processing.

The invention discloses an application crash processing method and device, computer equipment and a storage medium. The crash analysis efficiency is improved. The method comprises the steps of counting trigger event information sent by a client side, wherein the trigger event information comprises a client side identifier, an event type and an event timestamp, and the client side identifier, theevent type and the event timestamp correspond to one another; obtaining available information sent by the target client; wherein the available information comprises a target client identifier and a crash time stamp when the application crashes; determining a corresponding event timestamp from the counted event timestamps, and determining an event type corresponding to the target client identifier;determining a target timestamp before the crash timestamp from the corresponding event timestamps; determining a target event type corresponding to the target timestamp from the event types corresponding to the target client identifier; and generating an event flow chart corresponding to the target client identifier according to the target event type.

The invention discloses a program crash analysis and aggregation method. The method comprises the following steps: receiving program crash information of user equipment; filtering the program crash information of the user equipment, and distributing the filtered program crash information; analyzing the filtered program crash information to obtain a label; and storing the filtered program crash information and the tag in a database for query, reading and/or aggregation analysis. According to the method and the device, a closed-loop whole process is realized through the steps, so that the security of the data, particularly the security of the sensitive data of the program, is ensured, and the hidden danger of'system unavailability 'of an external platform is eliminated; and problems can be efficiently and accurately positioned, and an analysis report can be generated.

The invention discloses a crash analysis method and system for a binary program, and the method comprises the steps: S1, information collection and processing: carrying out the code instrumentation of a plurality of key positions and basic blocks through an instrumentation module, then running the program, and recording the information; the taint module takes program input as taints, tracks propagation of the taints in a program execution process, performs symbolization operation on each executed instruction, and finally performs reverse slicing and information recording from a crash point according to symbolization content; and S2, performing analysis on the basis of the data processed in the step S1 to obtain an execution trajectory diagram, a stain propagation trajectory diagram, crash causes and the like of a program; according to the method, the program can be analyzed, the crash information during program running can be collected, crash backtracking, crash point positioning, crash cause determination and the like can be carried out under the condition of passive codes, the cost of manual analysis is greatly reduced, and vulnerability analysts can be assisted to quickly determine a program crash mechanism and the like.

The invention discloses a method for determining crash attribution, which relates to the technical field of computers and comprises the following steps of: obtaining crash information; analyzing the crash information to obtain a calling address; obtaining an SDK compiling file, and based on the SDK compiling file, performing calculation to obtain an SDK running address interval; and judging whether the calling address is in an SDK running address interval or not, if so, storing crash information, and uploading the crash information to a remote server. According to the method, whether the calling address corresponding to the crash information is located in the SDK running address interval or not is analyzed and judged, so that the SDK where the crash is located can be quickly and accuratelydetermined, the troubleshooting time and workload of SDK crash are reduced, the SDK crash analysis efficiency is improved, and the development cost is reduced; and the SDK crash is reported in time,so that the crash processing speed of an SDK developer is increased, the SDK is optimized and improved in time, and the stability of the SDK is improved. The invention further discloses a device for determining crash attribution, electronic equipment and a computer storage medium.