128 results about "Stack trace" patented technology

In accordance with the present invention, computer implemented methods and systems are provided that allow an application to automatically recover from software failures and attacks. Using one or more sensors, failures may be detected in the application. In response to detecting the failure, the portion of the application's code that caused the failure is isolated. Using the input vectors that caused the failure, information regarding the failure (e.g., the type of failure), a core dump file (e.g., stack trace), etc., an emulator-based vaccine that repairs the failure is constructed. In response to verifying that the vaccine repaired the failure, the application is automatically updated with the emulator-based vaccine without user intervention. Application community features that efficiently use the resources available in software monoculture is also provided. An application community may be defined that includes a plurality of devices and the application's code may be divided into smaller portions of code, which are assigned to each of the plurality of devices for monitoring. Each device also notifies the other devices of the failure.

System and method for analyzing seismic data from a formation. Stacked seismic data are provided, including a plurality of stack traces, e.g., by collecting seismic data from source and receiver locations and stacking the collected seismic data to produce the stacked seismic data. 3-dimensional (3-D) prestack traces are generated from the plurality of stack traces, e.g., by performing inverse moveout of stack traces, e.g., in a specified neighborhood, at common-depth-points, e.g., by inverse normal moveout, ray tracing, spike synthesis, etc. The inverse moveout corrected traces are convolved to compute predicted multiples which are useable in analyzing the formation. The multiples may be adaptively subtracted from the stacked seismic data, or optionally, from prestack data, to generate processed seismic data useable in analyzing the formation, e.g., for petroleum production potential. Dip moveout (DMO) corrected seismic data may be used, where DMO velocities are adjusted by dividing by cosine of the dip angle.

System and method for performing anisotropy corrections of post-imaging seismic data for a subsurface formation. The method may receive seismic data, preferably pre-stack seismic data comprising a plurality of traces, e.g., collected from a plurality of source and receiver locations. The seismic data may be imaged/migrated to produce imaged seismic data, which is organized into an arrangement that preserves aspects of the relative seismic propagation angle in the subsurface. One or more anisotropic parameters and corresponding corrections may be determined by analyzing the organized imaged seismic data. The determined parameters or corrections may be used to correct at least a subset of the imaged seismic data, thereby producing corrected seismic data which is useable in analyzing the formation. The corrected data may then optionally be stacked to produce a collection of corrected stacked traces, and/or analyzed as desired. The pre-stack data and/or the corrected seismic data may optionally be displayed.

Embodiments described herein relate to systems and methods for displaying aggregated stack traces in a source code viewer. One or more execution identifiers are received in response to an execution of a first program executing on one or more client computing devices. Each execution identifier can include one or more stack frames, which correspond to a function call within the first program. An error-likeliness score is identified for each execution identifier. An error-weight is determined for each of the execution identifiers based on the identified error-likeliness scores for instances of the execution identifiers.

A system for selective self-healing of memory errors comprises a processor coupled to a memory, where the memory stores instructions executable by the processor to store an error record for each memory management error detected during an execution of the application. The error record identifies an allocation location (e.g., a portion of a stack trace corresponding to the invocation of a memory allocation function such as malloc( )) of an object associated with the memory management error. The instructions are executable to use the error record to identify, during subsequent execution, memory operations performed on objects allocated from the allocation location, and to perform corresponding memory protection operations (e.g., operations to prevent re-occurrences of the memory errors) for the memory operations identified using the error record.

A method, apparatus and article of manufacture for prioritizing customer error reports for a software application. A sub-bucketing algorithm is performed in a computer to sort stack traces associated with the customer error reports by a plurality of lines or entries in the stack traces, in order to create a hierarchy for categorization of the customer error reports.

Provided are techniques for invoking with a processor executing on a computer a source code parser to obtain source information that includes a first location of an Application Programming Interface (API) call and parameters of the API call in source code of a client application, where the parameters the API call do not include query text for a query that is to be used to access a database; examining a stack trace to determine a second location of the API call in the stack trace; and deriving the query of the API call and a third location of the query in the source code by identifying the query in the stack trace at the location of the API call in the stack trace.

In one embodiment, a method for automatically identifying a program error in a computer program includes receiving a program error message indicating that a new program error has occurred during execution of the program and generating a program stack trace for the new program error indicating the source of the new program error within the program. A first operation is applied to a portion of the program stack trace to generate a first numerical code associated with the new program error. The first numerical code associated with the new program error is compared to one or more stored first numerical codes associated with previously identified program errors to determine whether the new program error is the same as a previously identified program error. If so, stored information associated with resolving the previously identified program error is provided for use in resolving the new program error.

The invention is directed to efficient stack cache logic, which reduces the number of accesses to main memory. More specifically, in one embodiment, the invention prevents writing old line data to main memory when the old line data represents a currently unused area of the cache. In another embodiment, the invention prevents reading previous line data for a new tag from main memory when the new tag represents a currently unused area of the cache.

Guarded file access operations are provided for creating and using guarded file descriptors, which can detect and prevent erroneous file access operations in computer programs. A file descriptor can be associated with a guard identifier to create a guarded file descriptor. The association can be established when the file is opened, and can be maintained independently of the computer program, which ordinarily maintains its own association between files, file descriptors, and guard identifiers. Subsequent file operations using the guarded file descriptor check that the guard identifier previously associated with that file descriptor is presented, and generate errors without performing the requested file operations if the correct guard identifier is not presented. This check serves as a validation of the computer program's use of file descriptors. An error and stack trace can be generated for use in analyzing a cause of the guard violation.

The invention provides run-time support for efficient simulation of digital hardware in a software development enviromnent, facilitating combined hardware/software co-simulation. The run-time support includes threads of execution that minimize stack storage requirements and reduce memory-related run-time processing requirements. The invention implements shared processor stack areas, including the sharing of a stack storage area among multiple threads, storing each thread's stack data in a designated area in compressed form while the thread is suspended. The thread's stack data is uncompressed and copied back onto a processor stack area when the thread is reactivated. A mapping of simulation model instances to stack storage is determined so as to minimize a cost function of memory and CPU run-time, to reduce the risk of stack overflow, and to reduce the impact of blocking system calls on simulation model execution. The invention also employs further memory compaction and a method for reducing CPU branch mis-prediction.

An aspect of behavior of an embedded system may be determined by (a) determining a baseline behavior of the embedded system from a sequence of patterns in real-time digital measurements extracted from the embedded system; (b) extracting, while the embedded system is operating, real-time digital measurements from the embedded system; (c) extracting features from the real-time digital measurements extracted from the embedded system while the embedded system was operating; and (d) determining the aspect of the behavior of the embedded system by analyzing the extracted features with respect to features of the baseline behavior determined.

The invention provides a method and a device used for hydrocarbon quantitative prediction and based on an unconsolidated sandstone model. The method comprises the steps of obtaining background information of reservoir rock, according to the background information of the reservoir rock, calculating a dried rock modulus of the constant-cement unconsolidated sandstone model, calculating vertical and horizontal wave speeds of constant-cement unconsolidated sandstone when water is saturated, arranging a porosity degree and saturation level distribution range according to the constant-cement unconsolidated sandstone model, calculating formulas that a shear modulus corresponding to each porosity degree and saturation level and the horizontal wave speed are divided by density, building a rock physical template where a parameter that the shear modulus is divided by the density and a parameter that the horizontal wave speed is divided by the density are jointed, carrying out pre-stack synchronous inversion on earthquake pre-stack trace gathering, enabling the obtained shear modulus and the horizontal wave speed during the inversion to be divided by the density and projected to the rock physical template where the parameter that the shear modulus is divided by the density and the parameter that the horizontal wave speed is divided by the density are jointed, calculating the porosity degree and the saturation level of a target reservoir by a template mapping method, and judging an oil-gas distribution condition of the target reservoir. The method and the device used for the hydrocarbon quantitative prediction and based on the unconsolidated sandstone model improve prediction accuracy of the effective reservoir.

The invention discloses an inversion method of frequency dispersion amplitude versus offset (AVO). The inversion method comprises the following steps: acquiring a pre-stack trace gather; carrying out spherical diffusion compensation and dynamic correction on the pre-stack trace gather, and carrying out instant spectrum analysis on the pre-stack trace gather, so as to generate amplitude spectra under different frequencies; carrying out amplitude spectrum balancing on the amplitude spectra; acquiring a stacking velocity of sampling points in the pre-stack trace gather; generating a layer velocity of the sampling points according to the stacking velocity; generating speed variation rate of the velocity of vertical and horizontal waves under a set frequency and frequency dispersion degree of the sampling points according to the amplitude spectra after amplitude spectrum balancing, the layer velocity of the sampling points, and least square inversion; and ranking the generated frequency dispersion degree according to the trace gather serial number, so as to generate an attribute section of the frequency dispersion degree. By utilizing the inversion method of frequency dispersion AVO provided by the embodiment of the invention, the influence of a strong amplitude energy group caused by impedance difference of an elastic interface wave can be eliminated, and the false 'frequency abnormality' caused by the stacking when post-stack seismic data spectrum is analyzed can be avoided, so that the obtained result is more reliable.

The method includes steps: setting up at least one stack trace record area on memory for each stack, and initializing the area; executing printing information recording function, in printing procedure, calling printing contents saving function to save printing information to the said trace record area; executing a entrance trace record function at entrance; executing a exit trace record function at exit, embedding stubs at entrance and exit of functions in application program; calling analysis debugging function in use for stack trace record area to display all basic information in the stack trace record area, as well as procedures of function call and saved printing contents. The invention does not inference on task dispatching procedure of software to be tested, analyzes abnormity of software by using information recorded in stack trace record area without need of hardware analysis.

Exemplary methods, apparatuses, and systems generate a plurality of possible stack traces for a computer program. Each possible stack trace represents functions that may be active while the computer program is running. Each function has a corresponding function identifier. A value for at least one of the plurality of possible stack traces is generated. Generating the value for each stack trace includes performing a series of one or more mathematical or logical operations between the function identifiers of the possible stack trace. A stack trace is generated as an output based upon a match between a run-time stack trace value and the at least one generated stack trace value.