A system for conducting performance analysis for executing tasks. The analysis involves generating a variety of trace information related to performance measures, including parallelism-related information, during execution of the task. In order to generate the trace information, target source code of interest is compiled in such a manner that executing the resulting executable code will generate execution trace information composed of a series of events. Each event stores trace information related to a variety of performance measures for the one or more processors and protection domains used. After the execution trace information has been generated, the system can use that trace information and a trace information description file to produce useful performance measure information. The trace information description file contains information that describes the types of execution events as well as the structure of the stored information. The system uses the trace information description file to organize the information in the trace information file, extracts a variety of types of performance measure information from the organized trace information, and formats the extracted information for display. The system can use default or user-defined functions to extract and format trace information for display. After the system displays one or more types of performance measure information, a user of the system can then interact with the system in a variety of ways to obtain other useful performance analysis information.

Parallelism performance analysis based on execution trace information

A system and method for dynamically generating alarm thresholds for performance metrics, and for applying those thresholds to generate alarms is described. Statistical methods are used to generate one or more thresholds for metrics that may not fit a Gaussian or normal distribution, or that may exhibit cyclic behavior or persistent shifts in the values of the metrics. The statistical methods used to generate the thresholds may include statistical process control (SPC) methods, normalization methods, and heuristics.

System and methods for adaptive threshold determination for performance metrics

A system for debugging targets using various techniques, some of which are particularly useful in a multithread environment. These techniques include implementing breakpoints using out-of-line instruction emulation so that an instruction replaced with a breakpoint instruction does not need to be returned to its original location for single-step execution, executing a debugger nub for each target as part of the target task but using a nub task thread for the nub execution that is separate from the target task threads, providing immunity from breakpoints for specified threads such as the nub thread via specialized breakpoint handlers used by those threads, and virtualizing the debugger nub such that a shared root nub provides a uniform interface between the debugger and the target while specialized nubs provide differing functionality based on the type of target being debugged.

Debugging techniques in a multithreaded environment

A method for determining changed code in a second program binary relative to a first or baseline program binary, where the second program is a different version of the first program, includes translating, responsive to symbol tables and/or control flow representations, machine addresses of both program binaries to symbols. The first and second program binaries are disassembled using the translated symbols. Differences between the two resulting disassemblies are determined, and a list of the differences is created. Differences between the program binaries can be determined by textually comparing the disassemblies, or alternatively, by determining the differences between the control flow representations of the programs. The list of differences can be presented to a user, or alternatively, can be passed to another process for further processing, such as test coverage analysis, code change analysis, or failure analysis, among other analyses.

Method for determining the degree to which changed code has been exercised

Security analysis and vulnerability testing results are “packaged” or “bound to” the actual software it describes. By linking the results to the software itself, downstream users of the software can access information about the software, make informed decisions about implementation of the software, and analyze the security risk across an entire system by accessing all (or most) of the reports associated with the executables running on the system and summarizing the risks identified in the reports.

Assessment and analysis of software security flaws in virtual machines

A debugging system according to the present invention includes a decompiler that provides information to a table generator, which generates a line number map and a symbol table, each of which corresponds to an executable file being decompiled. In a specific embodiment, hooks into specific operations performed by the decompiler trigger the table generator operation. A debugging information program can be hooked into a decompiler to generate the debugging information and modify the source code output by the decompiler. For example, the program can be hooked into the decompiler to monitor when the decompiler inserts or deletes source statements, generates line numbers for source lines, or assigns variable names to variables encountered in the executable code.

Method for reconstructing debugging information for a decompiled executable file

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Method for reconstructing debugging information for a decompiled executable file