Optimization of System Trace tool • Decreased memory usage of the process by 20% by limiting the amount of memory used with memory pools. • Provide the user with capability to control the amount of memory process will use. • Achieved 45% reduction in processing time for the new decoder of the tool. Increasing the capability of the System trace tool • Enabled the decoding of new data source for 3 different architectures. • Enabled the selective decoding and filtering of the data. • Enabled the unit translation that would convert the raw data to the appropriate unit and display it with the corresponding unit information. Performance-testing framework • Developed a framework for getting and storing performance measurements from System Trace tool using Python and PostgreSQL. • Integrated the framework with tool’s CI to obtain measurements regularly. • Setup a server for visualizing the obtained data using Grafana.

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Investigated past reported command injection vulnerabilities (CWE-77, CWE-78) and worked on creating a CodeQL query that would identify such vulnerabilities.

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• Built Assembler for B2R2 library in F#. Implemented parser for parsing assembly from MIPS and Intel x86 architecture using the FParsec library. • Developed Demangler for B2R2 library in F. Demangler can handle the name mangling scheme present in Linux Itanium ABI for C++. • Developed Arithmetic Expression Evaluator for B2R2 library in F#. Evaluator handles type-casting, arithmetic and bit-wise operators, and supports floating-point numbers up to 64 bits and signed and unsigned integers up to 256 bits.

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