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Feature code is often scattered across a software system. Scattering is not necessarily bad if used with care, as witnessed by systems with highly scattered features that evolved successfully. Feature scattering, often realized with a pre-processor, circumvents limitations of programming languages and software architectures. Unfortunately, little is known about the principles governing scattering in large and long-living software systems.

This dataset contains the information about 305 shared web hosting providers, their uptime, response time, number of servers and sites for the period of the previous 3 months (08/14/2018 – 11/11/018).

The data set provided source code in C on how to compute Collatz dynamics by automata in terms of residue classes. It also includes algorithms implemented by C codes that can output residue classes by inputting reduced dynamics.  The formular for computing a residue class for a given reduced dynamics is as follows:

Function $Invrs(\cdot)$. 

$Invrs: c \rightarrow rs$ takes as input \\

$c=O$ or \\

$c=I^{p_1}O^{q_1}I^{p_2}O^{q_2}...I^{p_n}O^{q_n} \in \{I,O\}^{\geq 2},$ $p_i,q_i\in \mathbb{N}^*, i=1,2,...,n, n \in \mathbb{N}^*$\\