It ensures a cause-and-effect relationship between independent and dependent variables. B (Control is essential to minimize the effects of extraneous variables on the interaction of the identified independent and dependent variables. Control of variables makes it possible to explain a study’s findings with accuracy.)

In true experiments, the researcher has to change or manipulate the variable that is hypothesized to affect the outcome variable that is being studied. The variable that the researcher has control over is called the independent variable. The researcher does not manipulate the dependent variable.

A control is important for an experiment because it allows the experiment to minimize the changes in all other variables except the one being tested.

A control group is an essential part of an experiment because it allows you to eliminate and isolate these variables. Control groups are particularly important in social sciences, such as psychology.

While all experiments have an experimental group, not all experiments require a control group. Controls are extremely useful where the experimental conditions are complex and difficult to isolate. Experiments that use control groups are called controlled experiments.

The control group is composed of participants who do not receive the experimental treatment. When conducting an experiment, these people are randomly assigned to be in this group. They also closely resemble the participants who are in the experimental group or the individuals who receive the treatment.

Identifying controls via an image: Image-Based Test Automation. Tosca is able to identify controls from an image by creating a screenshot for a specific control. Scan the required screen by using Tosca XScan. Open the Identify by Image window by clicking on the corresponding button in the HOME menu.

ActionModes. ActionModes are used to steer the test object. They define how the value in the Value field should be applied for XTestStepValues in order to steer the control. Input operations modify the defined property during test execution.

Dynamic comparisons: XBuffer Buffers save the entire value of your control. XBuffers allow you to verify the content of a control and save parts of it. You can then re-use the buffered part in later Steps. XBuffers require the syntax {XB[]} and the ActionMode Verify.

Identify controls by anchors

1. Scan the required test object by using Tosca XScan.
2. In the Advanced View of Tosca XScan, click the Identify by button and select Anchor from the drop-down menu to open the Identify by Anchor window.
3. Select the control which should be identified.

Identify controls by image: Image-Based Test Automation

1. Scan the required screen by using Tosca XScan.
2. In the Advanced View of Tosca XScan, click the Identify by button and select Image from the dropdown menu to open the Identify by Image window.
3. Select the control to be identified from a screenshot in the left pane.

Running TestSteps repeatedly – Repetitions

1. Select the TestStep folder in the details view and add the Repetition column via the Add or remove columns.
2. Enter the number of repeats in the Repetition column. Repetitions can either be specified with integers >=0 or dynamic expressions. The folder icon changes as follows:

Please note that the ScratchBook does not support the TBox Recovery function. The first step is to create a Recovery Scenario Collection in the TestCases section by using the context menu entry Create Recovery Scenario Collection. Alternatively, the key combination Ctrl + N, Ctrl + R can be used.