+ * Command to delete object from {@link GlobalDataContainer}. + *
+ * Command that loads a previously serialized {@link GlobalDataContainer}. + *
+ * Command to load a previously serialized object and store it in the + * {@link GlobalDataContainer}. + *
+ * Command to save the {@link GlobalDataContainer} through serialization. + *
+ * Command that saves an object contained in the {@link GlobalDataContainer} + * through serialization. + *
+ * Command to show the time elapsed since a timer has been started. + *
+ * Command to start a {@link FileOutputListener}. + *
+ * Command to start a time. + *
+ * Command to stop a {@link FileOutputListener}. + *
+ * Command to condense the GUI model of a sequence, i.e., merge duplicate nodes. + *
+ * This command condenses mouse clicks, i.e. it reduces a sequence of mouse button down, + * mouse button up and mouse click with the same button on the same event target to a single + * mouse click with that button on that target. The mouse button down and mouse button up events + * are discarded. + *
+ * This command iterates the provided sequences and sets the target of all key interaction events + * to the GUI element having the current keyboard focus. The current keyboard focus is determined + * either by keyboard focus events or by using the target of the first key interaction in a + * sequence. Events changing the keyboard focus are discarded herewith. + *
+ * Command that converts {@link KeyPressed}, {@link KeyReleased}, and {@link KeyTyped} sequences + * into {@link TextInput} events if possible. + *
+ * Command to create a replay file from stored sessions. + *
+ * {@link IReplayDecorator} to be used. If this field is {@code null}, no decorator is used. + * Default: {@code null} + *
+ * Id of the current session. The starting id is 1. + *
+ * Creates a replay file that contains multiple event sequences. + *
+ * Helper function that opens the replay file for writing. + *
+ * Helper function that adds an event sequence to the replay. + *
+ * Command to remove the {@link Event#STARTEVENT} and {@link Event#ENDEVENT} from a sequence. + *
+ * Command to print basic statistical information about stored sequences, e.g., + * how many there are of which length. + *
+ * Command to sort the key interactions in a sequence of events. An example, the sequence to write + * the upper case D + *
+ * This command performs a usability evaluation based on a task tree. It uses the + * {@link UsabilityEvaluationManager} for this purpose. Please consult the documentation of the + * usability evaluation manager for more details. + *
+ * This command generates a task tree based on the provided sequences. It uses the + * {@link TaskTreeManager} for this purpose. Please consult the documentation of the task tree + * manager for more details. + *
+ * Abstract class for commands to train {@link TrieBasedModel}s. + *
+ * Handling of additional parameters. + *
+ * Returns a concrete instance of {@link TrieBasedModel} to be trained. This + * is a factory method. + *
+ * The command is implemented as a template method. The general structure of + * the command is always the same, only the parameters of the command and + * the creation of the {@link TrieBasedModel} instance. The former is + * handled by {@link #handleAdditionalParameters(List)}, the latter by + * {@link #createModel()}. + *
+ * Command to calculate the coverage of a test suite. + *
+ * Command to calculate the entropy of first-order Markov models. + *
+ * Command to flatten high-order models and create first-order markov models + * with the same stochastic properties. + *
+ * Command to generate all sequences of a given length. + *
+ * Command to generate test suite with a greedy strategy to achieve a desired + * coverage. + *
+ * Tolerance for double comparisons + *
+ * Command to generate sequences of a given length. + *
+ * Command to generate random sessions. + *
+ * Command to list all events (symbols) known to a usage profile (stochastic + * process). + *
+ * Command that prints the size of a stochastic process to the console. + *
+ * Command that prints a dot representation of a model (if supported) to the + * console. + *
+ * Command that prints the {@link Trie} of a {@link TrieBasedModel} as dot to + * the console. + *
+ * Command that visualizes first-order Markov models. + *
+ * Command that visualizes the {@link Trie} of a {@link TrieBasedModel}. + *
+ * Command to train a Deterministic Finite Automaton (DFA). + *
+ * No additional parameters. + *
+ * Command to train first-order and high-order Markov models. + *
+ * Order of the Markov model. + *
+ * Handles the parameter order. + *
+ * Command that trains Prediction by Partial Match (PPM) models. + *
+ * Escape probability of the PPM model. + *
+ * Maximal Markov order of the PPM model. + *
+ * Minimal Markov order of the PPM model. Default: 0 + *
+ * Handles the parameters probEscape, maxOrder, and minOrder. + *
+ * Command to update a {@link TrieBasedModel}. + *