7.5. Creating Tests by Hand

7.5.1. Modifying and Refactoring Recorded Tests
7.5.2. Creating Data Driven Tests

Now that we have seen how to record a test and modify it by inserting verification points, we are ready to see how to create tests manually. The easiest way to do this is to modify and refactor recorded tests, although it is also perfectly possible to create manual tests from scratch.

Potentially the most challenging part of writing manual tests is to use the right object names, but in practice, this is rarely a problem. We can either copy the symbolic names that Squish has already added to the Object Map when recording previous tests, or we can copy object names directly from recorded tests. And if we haven't recorded any tests and are starting from scratch we can use the Spy. We do this by clicking the Launch AUT toolbar button. This starts the AUT and switches to the Squish Spy Perspective (Section 16.1.2.1). We can then interact with the AUT until the object we are interested in is visible. Then, inside the Squish IDE we can navigate to the object in the Application Objects view—or use the Pick toolbar button—and use the context menu to both add the object to the Object Map (so that Squish will remember it) and to the clipboard (so that we can paste it into our test script). And at the end we can click the Quit AUT toolbar button to terminate the AUT and return Squish to the Squish Test Management Perspective (Section 16.1.2.2). (See How to Use the Spy (Section 13.19.3) in the User Guide (Chapter 13) for more details on using the Spy.)

We can view the Object Map by clicking the Object Map toolbar button (see also, the Object Map view (Section 16.2.9)). Every application object that Squish interacts with is listed here, either as a top-level object, or as a child object (the view is a tree view). We can retrieve the symbolic name used by Squish in recorded scripts by right-clicking the object we are interested in and then clicking the context menu's Copy item. This is useful for when we want to modify existing test scripts or when we want to create test scripts from scratch, as we will see later on in the tutorial.

Squish's Object Map

7.5.1. Modifying and Refactoring Recorded Tests

Suppose we want to test the AUT's Add functionality by adding three new names and addresses. We could of course record such a test but it is just as easy to do everything in code. The steps we need the test script to do are: first click the New button (and then OK) to create a new address book, then for each new name and address, click the Add button, then fill in the details, and click Save. We also want to verify after clicking New that there are no rows of data and at the end that there are three rows. We will also refactor as we go, to make our code as neat and modular as possible.

First we must create a new empty test case. Click File|New Test Case... and set the test case's name to be tst_adding. Squish will automatically create an empty test.js (or test.py, and so on) file.

Command line users can simply create a tst_adding directory inside the test suite's directory and create and edit the test.js file (or test.py and so on) within that directory.

The first thing we need is a way to start the AUT. Here are the first few lines from the recorded tst_general script:

Python

def main():
    loadUrl("http://localhost:9090/addressbook-4.1.html")
    waitForContextExists(":addressbook-4.1.html")

JavaScript

function main() {
    loadUrl("http://localhost:9090/addressbook-4.1.html");
    waitForContextExists(":addressbook-4.1.html");

Perl

sub main
{
    loadUrl("http://localhost:9090/addressbook-4.1.html");
    waitForContextExists(":addressbook-4.1.html");

Ruby

def main
  loadUrl("http://localhost:9090/addressbook-4.1.html")
  waitForContextExists(":addressbook-4.1.html")

Tcl

proc main {} {
    invoke loadUrl "http://localhost:9090/addressbook-4.1.html"
    invoke waitForContextExists ":addressbook-4.1.html"

Notice that the pattern in the code is simple: start the AUT, then wait for the page to be ready.

[Note]Note

It may seem a waste to put our functions in tst_adding because we could also use them in tst_general and in other test cases. However, to keep the tutorial simple we will put the code in the tst_adding test case. It is of course very easy to create shared scripts, but we defer coverage of that to the user guide. (See How to Create and Use Shared Data and Shared Scripts (Section 13.21) for how to share scripts.)

If you look at the recorded test (tst_general) or in the Object Map you will see that Squish uses hierarchical names that reflect the DOM (Document Object Model) of the HTML page.

Once we start writing tests, sometimes the AUT will appear to freeze when we run one of our tests. When this happens, just wait for Squish to time out the AUT (about 20 seconds), and then look at the error message in the test log window. If you get an error similar to this:

Error Script Error Apr 9, 2011
Detail LookupError: Item 'New...' in object ':Address Book.File' not found or ready.
Called from: C:\squish\examples\web\addressbook\suite_js\tst_adding\test.js: 18 
Location C:\squish\examples\web\addressbook\suite_js\tst_adding\test.js:3 

don't worry! It just means that Squish doesn't have an object with the given name in the Object Map. We can easily add the names we need either by recording a dummy test and interacting with all the AUT objects we plan to use in our tests or by using the Spy tool. In addition to the Spy's object picker we can also use the Spy's Application Objects view (Section 16.2.1) to locate the objects we are interested in and use the context menu to add them to the Object Map. However, recording a dummy test is often quicker for adding lots of objects to the Object Map, providing we interact with all the AUT objects we are interested in.

We've spent a bit of time on the issue of naming since it is probably the part of writing scripts that leads to the most error messages (usually of the "object ... not found" kind shown above.) Once we have identified the objects we are going to access in our tests, writing test scripts using Squish is very straightforward. And of course you can almost certainly use the scripting language you are most familiar with since Squish supports the most popular ones available.

We are now almost ready to write our own test script. It is probably easiest to begin by recording a dummy test. So click File|New Test Case... and set the test case's name to be tst_dummy. Then click the dummy test case's Record Test Case toolbar button (). Once the AUT starts, click the New button then click OK. This will clear out the example data and leave the table empty and ready for new data. Click the Control Bar Window (Section 16.1.3)'s Stop Recording button. Replay this test just to confirm that everything works okay. The sole purpose of this is to make sure that Squish adds the necessary names to the Object Map since it is probably quicker to do it this way than to use the Spy for every object of interest. After replaying the dummy test you can delete it if you want to.

With all the object names we need in the Objec Map we can now write our own test script completely from scratch. We will start with the main function, and then we will look at the supporting functions that the main function uses.

Python

def main():
    loadUrl("http://localhost:9090/addressbook-4.1.html")
    waitForContextExists(":addressbook-4.1.html")
    confirmPopup(":newButton_button")
    test.verify(numberOfRows() == 0, "%d" % numberOfRows()) 
    data = [("Andy", "Beach", "andy.beach@nowhere.com", "555 123 6786"),
            ("Candy", "Deane", "candy.deane@nowhere.com", "555 234 8765"),
            ("Ed", "Fernleaf", "ed.fernleaf@nowhere.com", "555 876 4654")]
    for oneNameAndAddress in data:
        addNameAndAddress(oneNameAndAddress)
    test.verify(numberOfRows() == 3, "%d" % numberOfRows()) 

JavaScript

function main() {
    loadUrl("http://localhost:9090/addressbook-4.1.html");
    waitForContextExists(":addressbook-4.1.html");
    confirmPopup(":newButton_button");
    test.verify(numberOfRows() == 0); 
    var data = new Array(
        new Array("Andy", "Beach", "andy.beach@nowhere.com", "555 123 6786"),
        new Array("Candy", "Deane", "candy.deane@nowhere.com", "555 234 8765"),
        new Array("Ed", "Fernleaf", "ed.fernleaf@nowhere.com", "555 876 4654"));
    for (var row = 0; row < data.length; ++row)
        addNameAndAddress(data[row]);
    test.verify(numberOfRows() == 3); 
}

Perl

sub main
{
    loadUrl("http://localhost:9090/addressbook-4.1.html");
    waitForContextExists(":addressbook-4.1.html");
    confirmPopup(":newButton_button");
    test::verify(numberOfRows() == 0); 
    my @data = (["Andy", "Beach", "andy.beach\@nowhere.com", "555 123 6786"],
                ["Candy", "Deane", "candy.deane\@nowhere.com", "555 234 8765"],
                ["Ed", "Fernleaf", "ed.fernleaf\@nowhere.com", "555 876 4654"]);
    foreach $oneNameAndAddress (@data) {
        addNameAndAddress(@{$oneNameAndAddress});
    }
    test::verify(numberOfRows() == 3); 
}

Ruby

def main
  loadUrl("http://localhost:9090/addressbook-4.1.html")
  waitForContextExists(":addressbook-4.1.html")
  confirmPopup(":newButton_button")
  Test.verify(numberOfRows == 0) 
  data = [["Andy", "Beach", "andy.beach@nowhere.com", "555 123 6786"],
          ["Candy", "Deane", "candy.deane@nowhere.com", "555 234 8765"],
          ["Ed", "Fernleaf", "ed.fernleaf@nowhere.com", "555 876 4654"]]
  data.each do |oneNameAndAddress|
    addNameAndAddress(oneNameAndAddress)
  end
  Test.verify(numberOfRows == 3) 
end

Tcl

proc main {} {
    invoke loadUrl "http://localhost:9090/addressbook-4.1.html"
    invoke waitForContextExists ":addressbook-4.1.html"
    confirmPopup ":newButton_button"
    test compare [numberOfRows] 0
    set data [list \
        [list "Andy" "Beach" "andy.beach@nowhere.com" "555 123 6786"] \
        [list "Candy" "Deane" "candy.deane@nowhere.com" "555 234 8765"] \
        [list "Ed" "Fernleaf" "ed.fernleaf@nowhere.com" "555 876 4654"] ]
    for {set i 0} {$i < [llength $data]} {incr i} {
        addNameAndAddress [lindex $data $i]
    }
    test compare [numberOfRows] 3
}

We begin by starting the AUT with a call to the loadUrl function parameterized by the name of the web page we want it to start with. This means that Squish won't ask us to confirm the page to load. We then wait for the page to be available with a call to the waitForContextExists function. Next we call a custom confirmPopup function that clicks the New button (which in turn causes an OK/Cancel dialog to appear), and confirms (i.e., clicks OK). This will empty the table. (We copied the name of the New button from the Object Map—it was put there by the dummy test we recorded.) Next we call the custom numberOfRows function that we created earlier to verify that the table is empty.

Next, we create some sample data and call a custom addNameAndAddress function to populate the table with the data using the AUT's Add dialog. And finally, we again compare the table's row count, this time to the number of rows in our sample data.

We will now review two of the three supporting functions, so as to cover all the code in the tst_adding test case, starting with the confirmPopup function. (The third function, numberOfRows was discussed earlier.)

Python

def confirmPopup(button):
    clickButton(waitForObject(button))
    snooze(1.8)
    closeConfirm(":ConfirmPopup", True)

JavaScript

function confirmPopup(button) {
    clickButton(waitForObject(button));
    snooze(1.8);
    closeConfirm(":ConfirmPopup", true);
}

Perl

sub confirmPopup
{
    my ($button) = @_;
    clickButton(waitForObject($button));
    snooze(1.8);
    closeConfirm(":ConfirmPopup", 1);
}

Ruby

def confirmPopup(button)
  clickButton(waitForObject(button))
  snooze(1.8)
  closeConfirm(":ConfirmPopup", true)
end

Tcl

proc confirmPopup {button} {
    invoke clickButton [waitForObject $button]
    snooze 1.8
    invoke closeConfirm ":ConfirmPopup" true
}

This function is called with the symbolic name of the button we want to click and confirm. (The name was copied from the Object Map.) After clicking we force Squish to wait a short time (1.8 seconds using the snooze function) and then close the dialog that popped up using the closeConfirm function. The first argument can be any text but the second must either be true (which means click OK) or false (which means click Cancel). So here we have clicked OK.

Python

def addNameAndAddress(oneNameAndAddress):
    clickButton(waitForObject(":addButton_button"))
    for fieldName, text in zip(("forename", "surname", "email", "phone"),
            oneNameAndAddress):
        setText(waitForObject(":oneitem.%sEdit_text" % fieldName), text);
    clickButton(waitForObject(":saveAddButton_button"))

JavaScript

function addNameAndAddress(oneNameAndAddress) {
    clickButton(waitForObject(":addButton_button"));
    var fieldNames = new Array("forename", "surname", "email", "phone");
    for (var i = 0; i < oneNameAndAddress.length; ++i) {
        var fieldName = fieldNames[i];
        var text = oneNameAndAddress[i];
        setText(waitForObject(":oneitem." + fieldName + "Edit_text"), text);
    }
    clickButton(waitForObject(":saveAddButton_button"));
}

Perl

sub addNameAndAddress
{
    my (@oneNameAndAddress) = @_;
    clickButton(waitForObject(":addButton_button"));
    my @fieldNames = ("forename", "surname", "email", "phone");
    my $fieldName = "";
    for (my $i = 0; $i < scalar(@fieldNames); $i++) {
        $fieldName = $fieldNames[$i];
        my $text = $oneNameAndAddress[$i];
        setText(waitForObject(":oneitem.${fieldName}Edit_text"), $text);
    }
    clickButton(waitForObject(":saveAddButton_button"));
}

Ruby

def addNameAndAddress(oneNameAndAddress)
  clickButton(waitForObject(":addButton_button"))
  ["forename", "surname", "email", "phone"].each_with_index do
    |fieldName, index|
    text = oneNameAndAddress[index]
    setText(waitForObject(":oneitem.#{fieldName}Edit_text"), text)
  end
  clickButton(waitForObject(":saveAddButton_button"))
end

Tcl

proc addNameAndAddress {oneNameAndAddress} {
    invoke clickButton [waitForObject ":addButton_button"]
    set fieldNames [list "forename" "surname" "email" "phone"]
    for {set field 0} {$field < [llength $fieldNames]} {incr field} {
        set fieldName [lindex $fieldNames $field]
        set text [lindex $oneNameAndAddress $field]
        invoke setText [waitForObject ":oneitem.${fieldName}Edit_text"] $text
    }
    invoke clickButton [waitForObject ":saveAddButton_button"]
}

For each set of name and address data we click the Add button to make the Add form visible. Then for each value received we populate the appropriate field by waiting for the relevant text field to be ready and then typing in the text using the setText function. And at the end we click the form's Save button. We got the line at the heart of the function by copying it from the recorded tst_general test and simply parameterizing it by the field name and text. Similarly, we copied the code for clicking the Save button from the tst_general test case's code.

The entire test is around 35 lines of code—and would be even less if we put some of the common functions (such as confirmPopup and numberOfRows) in a shared script. And much of the code was copied directly from the recorded test, and in some cases parameterized.

This should be sufficient to give a flavor of writing test scripts for an AUT. Keep in mind that Squish provides far more functionality than we used here, (all of which is covered in the API Reference Manual (Chapter 14) and the Tools Reference Manual (Chapter 15)). And Squish also provides access to the entire public APIs of the AUT's objects.

However, one aspect of the test case is not very satisfactory. Although embedding test data as we did here is sensible for small amounts, it is rather limiting, especially when we want to use a lot of test data. Also, we didn't test any of the data that was added to see if it correctly ended up in the table. In the next section we will create a new version of this test, only this time we will pull in the data from an external data source, and check that the data we add to the table is correct.

7.5.2. Creating Data Driven Tests

In the previous section we put three hard-coded names and addresses in our test. But what if we want to test lots of data? Or what if we want to change the data without having to change our test script's source code. One approach is to import a dataset into Squish and use the dataset as the source of the values we insert into our tests. Squish can import data in .tsv (tab-separated values format), .csv (comma-separated values format), and .xls (Microsoft® Excel™ spreadsheet format—but not .xlsx format). [7]

Test data can either be imported using the Squish IDE, or manually using a file manager or console commands. We will describe both approaches, starting with using the Squish IDE.

For the addressbook application we want to import the MyAddresses.tsv data file. To do this we must start by clicking File|Import Test Resource to pop-up the Import Squish Resource dialog (Section 16.3.3). Inside the dialog click the Browse button to choose the file to import—in this case MyAddresses.tsv. Make sure that the Import As combobox is set to “TestData”. By default the Squish IDE will import the test data just for the current test case, but we want the test data to be available to all the test suite's test cases: to do this check the Copy to Test Suite for Sharing radio button. Now click the Finish button. You can now see the file listed in the Test Suite Resources view (in the Test Data tab), and if you click the file's name it will be shown in an Editor view (Section 16.2.6). The screenshot shows Squish after the test data has been added.

[Note]For command-line users

It is also possible to import test data outside the Squish IDE using a file manager (such as File Explorer) or console commands. To do this, create a directory inside the test suite's directory called shared. Now make a directory inside the shared directory called testdata. Now copy the data file (in this example, MyAddresses.tsv) into the shared\testdata directory. Now quit the Squish IDE if it is running and start it up again. If you click the Test Suite Resources view's Test Data tab you should see the data file. Click the file's name to see it in an Editor view (Section 16.2.6).

Squish with some imported test data

Although in real life we would modify our tst_adding test case to use the test data, for the purpose of the tutorial we will make a new test case called tst_adding_data that is a copy of tst_adding and which we will modify to make use of the test data.

The only function we have to change is main, where instead of iterating over hard-coded items of data, we iterate over all the records in the dataset. We also need to update the expected row count at the end since we are adding a lot more records now, and we will also add a function to verify each record that's added.

Python

def main():
    loadUrl("http://localhost:9090/addressbook-4.1.html")
    waitForContextExists(":addressbook-4.1.html")
    confirmPopup(":newButton_button")
    test.verify(numberOfRows() == 0) 
    limit = 10
    for row, record in enumerate(testData.dataset("MyAddresses.tsv")):
        forename = testData.field(record, "Forename")
        surname = testData.field(record, "Surname")
        email = testData.field(record, "Email")
        phone = testData.field(record, "Phone")
        addNameAndAddress((forename, surname, email, phone)) # pass as a single tuple
        checkNameAndAddress(record)
        if row > limit:
            break
    test.verify(numberOfRows() == row + 1) 

JavaScript

function main() {
    loadUrl("http://localhost:9090/addressbook-4.1.html");
    waitForContextExists(":addressbook-4.1.html");
    confirmPopup(":newButton_button");
    test.verify(numberOfRows() == 0); 
    var limit = 10;
    var records = testData.dataset("MyAddresses.tsv");
    for (var row = 0; row < records.length; ++row) {
        var record = records[row];
        var forename = testData.field(record, "Forename");
        var surname = testData.field(record, "Surname");
        var email = testData.field(record, "Email");
        var phone = testData.field(record, "Phone");
        addNameAndAddress(new Array(forename, surname, email, phone));
        checkNameAndAddress(record);
        if (row > limit)
            break;
    }
    test.verify(numberOfRows() == row + 1); 
}

Perl

sub main
{
    loadUrl("http://localhost:9090/addressbook-4.1.html");
    waitForContextExists(":addressbook-4.1.html");
    confirmPopup(":newButton_button");
    test::verify(numberOfRows() == 0); 
    my @records = testData::dataset("MyAddresses.tsv");
    my $limit = 10;
    my $row = 0;
    for (; $row < scalar(@records); ++$row) {
        my $record = $records[$row];
        my $forename = testData::field($record, "Forename");
        my $surname = testData::field($record, "Surname");
        my $email = testData::field($record, "Email");
        my $phone = testData::field($record, "Phone");
        addNameAndAddress(($forename, $surname, $email, $phone));
        checkNameAndAddress($record);
        if ($row > $limit) {
            last;
        }
    }
    test::verify(numberOfRows() == $row + 1); 
}

Ruby

def main
  loadUrl("http://localhost:9090/addressbook-4.1.html")
  waitForContextExists(":addressbook-4.1.html")
  confirmPopup(":newButton_button")
  Test.verify(numberOfRows == 0) 
  limit = 10
  rows = 0
  TestData.dataset("MyAddresses.tsv").each_with_index do
      |record, row|
    forename = TestData.field(record, "Forename")
    surname = TestData.field(record, "Surname")
    email = TestData.field(record, "Email")
    phone = TestData.field(record, "Phone")
    addNameAndAddress([forename, surname, email, phone]) # pass as an Array
    checkNameAndAddress(record)
    break if row > limit
    rows += 1
  end
  Test.verify(numberOfRows == rows + 1) 
end

Tcl

proc main {} {
    invoke loadUrl "http://localhost:9090/addressbook-4.1.html"
    invoke waitForContextExists ":addressbook-4.1.html"
    confirmPopup ":newButton_button"
    test compare [numberOfRows] 0
    set limit 10
    set data [testData dataset "MyAddresses.tsv"]
    set columns [llength [testData fieldNames [lindex $data 0]]]
    set row 0
    for {} {$row < [llength $data]} {incr row} {
        set record [lindex $data $row]
        set forename [testData field $record "Forename"]
        set surname [testData field $record "Surname"]
        set email [testData field $record "Email"]
        set phone [testData field $record "Phone"]
        set details [list $forename $surname $email $phone]
        addNameAndAddress $details
        checkNameAndAddress $record
        if {$row > $limit} {
            break
        }
    }
    test compare [numberOfRows] [expr $row + 1]
}

Squish provides access to test data through its testData module's functions—here we used the testData.dataset function to access the data file and make its records available, and the testData.field function to retrieve each record's individual fields.

Having used the test data to populate the HTML table we want to be confident that the data in the table is the same as what we have added, so that's why we added the checkNameAndAddress function. We also added a limit to how many records we would compare, just to make the test run faster.

Python

def checkNameAndAddress(record):
    table = waitForObject(":DOCUMENT.HTML1.BODY1.DIV1.DIV1.FORM1.TABLE1")
    cells = (table.evaluateXPath(".//TR/TD[@class='forename']"),
             table.evaluateXPath(".//TR/TD[@class='surname']"),
             table.evaluateXPath(".//TR/TD[@class='email']"),
             table.evaluateXPath(".//TR/TD[@class='phone']"))
    for column in range(len(testData.fieldNames(record))):
        cell = cells[column].singleNodeValue().innerText
        field = testData.field(record, column)
        test.compare(cell, field)

JavaScript

function checkNameAndAddress(record)
{
    var table = waitForObject(":DOCUMENT.HTML1.BODY1.DIV1.DIV1.FORM1.TABLE1");
    var cells = [table.evaluateXPath(".//TR/TD[@class='forename']"),
                 table.evaluateXPath(".//TR/TD[@class='surname']"),
                 table.evaluateXPath(".//TR/TD[@class='email']"),
                 table.evaluateXPath(".//TR/TD[@class='phone']")];
    for (var column = 0; column < testData.fieldNames(record).length;
            ++column) {
        var cell = cells[column].singleNodeValue().innerText;
        var field = testData.field(record, column);
        test.compare(cell, field);
    }
}

Perl

sub checkNameAndAddress
{
    my ($record) = @_;
    my $table = waitForObject(":DOCUMENT.HTML1.BODY1.DIV1.DIV1.FORM1.TABLE1");
    my @cells = ($table->evaluateXPath(".//TR/TD[\@class='forename']"),
                 $table->evaluateXPath(".//TR/TD[\@class='surname']"),
                 $table->evaluateXPath(".//TR/TD[\@class='email']"),
                 $table->evaluateXPath(".//TR/TD[\@class='phone']"));
    my @columnNames = testData::fieldNames($record);
    for (my $column = 0; $column < scalar(@columnNames); ++$column) {
        my $cell = $cells[$column]->singleNodeValue()->innerText;
        my $field = testData::field($record, $column);
        test::compare($cell, $field);
    }
}

Ruby

def checkNameAndAddress(record)
  table = waitForObject(":DOCUMENT.HTML1.BODY1.DIV1.DIV1.FORM1.TABLE1")
  cells = [table.evaluateXPath(".//TR/TD[@class='forename']"),
           table.evaluateXPath(".//TR/TD[@class='surname']"),
           table.evaluateXPath(".//TR/TD[@class='email']"),
           table.evaluateXPath(".//TR/TD[@class='phone']")]
  for column in 0...TestData.fieldNames(record).length
    cell = cells[column].singleNodeValue().innerText
    field = TestData.field(record, column)
    Test.compare(cell, field)
  end
end

Tcl

proc checkNameAndAddress {record} {
    set table [waitForObject ":DOCUMENT.HTML1.BODY1.DIV1.DIV1.FORM1.TABLE1"]
    set cells [list \
        [invoke $table evaluateXPath {.//TR/TD[@class='forename']}] \
        [invoke $table evaluateXPath {.//TR/TD[@class='surname']}] \
        [invoke $table evaluateXPath {.//TR/TD[@class='email']}] \
        [invoke $table evaluateXPath {.//TR/TD[@class='phone']}]]
    set columns [llength [testData fieldNames $record]]
    for {set column 0} {$column < $columns} {incr column} {
        set cell [property get [invoke [lindex $cells $column] \
            singleNodeValue] innerText]
        set field [testData field $record $column]
        test compare $cell $field
    }
}

The calls to the HTML_Object.evaluateXPath function use XPath queries to access the HTML table and find the first cells that match. Since the addressbook application always adds new addresses at the start the query works perfectly. We use Squish's testData.fieldNames function to get a column count and then use the test.compare function to check that each value in the table is the same as the value in the test data we used.

The screenshot show Squish's Test Summary log after the data-driven tests have been run.

Squish after a successful data-driven test run

Squish can also do keyword-driven testing. This is a bit more sophisticated than data-driven testing. See How to Do Keyword-Driven Testing (Section 13.14).




[7] Both .csv and .tsv files are assumed to use the Unicode UTF-8 encoding—the same encoding used for all test scripts.