Abstract: A system that translates source code of a compiled high level language into bytecode. Compiled languages are so named because their implementations are typically compilers that generate machine code. The described system takes source code of the compiled high level language and translates it into bytecode. The bytecode can be optimized with control flow analysis and method splitting.

Abstract: One or more regions of COBOL source code having an entry point are identified. A PERFORM instruction associated with the entry point to analyze is selected. A PERFORM range for the selected PERFORM instruction is determined. An instruction that changes control flow in execution of the COBOL source code subsequent to the selected PERFORM instruction is identified. Flow-affected code resulting from the instruction is determined. An adjusted PERFORM range for the selected PERFORM instruction is formed.

Abstract: Methods, systems, and computer-readable media for identifying potential threats on a network based on anomalous behavior in communication between endpoints are provided. Traffic data for a network is accumulated over some period of time. The traffic data is grouped by one or more keys, such as source IP address, and sets of metric values are calculated for the keys. A mixture distribution, such as a negative binomial mixture distribution, is fitted to each set of metric values, and outlying metric values are determined based on the mixture distribution(s). A list of outliers is then generated comprising key values having outlying metric values in one or more of the sets of metric values.

Abstract: Systems and methods for efficiently detecting and coordinating step changes, trends, cycles, and bursts affecting lexical items within data streams are provided. Data streams can be sourced from documents that can optionally be labeled with metadata. Changes can be grouped across lexical and/or metavalue vocabularies to summarize the changes that are synchronous in time. The methods described herein can be applied either retrospectively to a corpus of data or in a streaming mode.

Abstract: In accordance with disclosed embodiments, there are provided systems, methods, and apparatuses for implementing in-app live support functionality.

Abstract: Methods, systems, and computer-readable media for identifying potential threats on a network based on anomalous behavior in communication between endpoints are provided. Traffic data for a network is accumulated over some period of time. The traffic data is grouped by one or more keys, such as source IP address, and sets of metric values are calculated for the keys. A mixture distribution, such as a negative binomial mixture distribution, is fitted to each set of metric values, and outlying metric values are determined based on the mixture distribution(s). A list of outliers is then generated comprising key values having outlying metric values in one or more of the sets of metric values.

Abstract: Systems and methods for efficiently detecting and coordinating step changes, trends, cycles, and bursts affecting lexical items within data streams are provided. Data streams can be sourced from documents that can optionally be labeled with metadata. Changes can be grouped across lexical and/or metavalue vocabularies to summarize the changes that are synchronous in time. The methods described herein can be applied either retrospectively to a corpus of data or in a streaming mode.

Abstract: In accordance with disclosed embodiments, there are provided systems, methods, and apparatuses for implementing in-app live support functionality.

Abstract: Methods, systems, and computer-readable media for identifying potential threats on a network based on anomalous behavior in communication between endpoints are provided. Traffic data for a network is accumulated over some period of time. The traffic data is grouped by one or more keys, such as source IP address, and sets of metric values are calculated for the keys. A mixture distribution, such as a negative binomial mixture distribution, is fitted to each set of metric values, and outlying metric values are determined based on the mixture distribution(s). A list of outliers is then generated comprising key values having outlying metric values in one or more of the sets of metric values.

Abstract: In accordance with disclosed embodiments, there are provided systems, methods, and apparatuses for implementing in-app live support functionality.

Abstract: One or more regions of COBOL source code having an entry point are identified. A PERFORM instruction associated with the entry point to analyze is selected. A PERFORM range for the selected PERFORM instruction is determined. An instruction that changes control flow in execution of the COBOL source code subsequent to the selected PERFORM instruction is identified. Flow-affected code resulting from the instruction is determined. An adjusted PERFORM range for the selected PERFORM instruction is formed.

Abstract: One or more regions of COBOL source code having an entry point are identified. A PERFORM instruction associated with the entry point to analyze is selected. A PERFORM range for the selected PERFORM instruction is determined. An instruction that changes control flow in execution of the COBOL source code subsequent to the selected PERFORM instruction is identified. Flow-affected code resulting from the instruction is determined. An adjusted PERFORM range for the selected PERFORM instruction is formed.

Abstract: A method and apparatus for botnet analysis and visualization. Network traffic is filtered to compile a list of messages. The identified messages are tokenized, classified, and aggregated and changes in the frequency of tokenized messages are identified. A display of the tokenized messages is generated and displayed via a user interface. The user interface is configured to a allow a user to review data generated based on the filtered network traffic in order to detect potential botnet activity. User input may be used to adjust filtering and tokenization of the messages.

Abstract: The various embodiments of the invention relate generally to computer software, computer program architecture, software development, and computer programming languages, and more specifically, to techniques for analyzing control flow in COBOL-sourced programs to facilitate optimized conversions to object-oriented program structures. For example, a compiler can include a global optimizer configured to analyze execution flow for a range of blocks of source code in the memory to determine flow-affected code. Also, the compiler can include a native code generator configured to generate native code based on representations of the native code as functions of the source code. The native code is configured to execute on a virtual machine.

Abstract: A system that translates source code of a compiled high level language into bytecode. Compiled languages are so named because their implementations are typically compilers that generate machine code. The described system takes source code of the compiled high level language and translates it into bytecode. The bytecode can be optimized with control now analysis and method splitting.

Abstract: The various embodiments of the invention relate generally to computer software, computer program architecture, software development, and computer programming languages, and more specifically, to techniques for analyzing control flow in COBOL-sourced programs to facilitate optimized conversions to object-oriented program structures. For example, a compiler can include a global optimizer configured to analyze execution flow for a range of blocks of source code in the memory to determine flow-affected code. Also, the compiler can include a native code generator configured to generate native code based on representations of the native code as functions of the source code. The native code is configured to execute on a virtual machine.