Habilitationsschrift, 2019
322 Seiten, Note: A
This book delves into the analysis of profile data generated from a cyberintelligence simulation program called cyberintell. The core aim is to examine the performance and characteristics of various state-based tasks within the simulation environment. These tasks are executed by the profile module of C/C++, integrated into a Python scripting language.
The book dedicates individual chapters to analyzing the profile data of different state-based tasks executed by the cyberintell simulation program. Each chapter delves into the specific task, its associated arguments, and the performance metrics gathered during execution. The analysis utilizes techniques based on randomized inputs to ensure comprehensive coverage of various scenarios and execution paths.
This work revolves around the core concepts of profile analysis, cyberintelligence simulation, state-based tasks, randomized inputs, C/C++, Python, and performance evaluation. These keywords highlight the key areas of focus within the book, including the methodology employed for data analysis and the software tools utilized for building and executing the simulation.
It is a cyber-intelligence simulation program used to run state-based tasks and analyze profile data.
The simulation utilizes C/C++ for the profile module and Python as the scripting language.
Randomized integers and strings are programmed to automate the simulation process and select different program paths to cover various state-based tasks.
Pro-time is a sampling time initialized using methods like sampling random range or fixed values to monitor the simulation.
Profiling refers to running a state-based task with arguments at run-time to capture performance statistics and execution characteristics.
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