Adaption of Stochastic Models (ASMo) - A Tool for Input Modeling -

Analysis of trace data and modeling of data by appropriate distributions are essential for constructing accurate stochastic models. However, software support for these tasks is fragmented across various tools and libraries, including but not limited to tools like ExpertFit, MATLAB, R or software libraries like PyStats. This dispersion of software components can be challenging for users who lack experience with these software packages and requires, even for experienced users, a huge effort to configure adequate tool chains for data analysis and modeling. This paper introduces the first version of the ASMo tool, designed to collect various techniques for data analysis and modeling under a user-friendly umbrella. ASMo consolidates different data inspection and fitting approaches into a single platform, simplifying the process for modelers. It offers support for data inspection, analysis, calculation, and visualization of various statistical measures. Additionally, ASMo provides fitting algorithms for standard, mixture, and phase-type distributions and can directly export random variate generators for the fitted distributions. ASMo is intended as an open environment which can be easily extended by integrating new methods.