To ensure the quality and effectiveness of a software product, software engineers adopt various testing methodologies that help them evaluate and verify various aspects of the product. Data Driven Testing is one such testing methodology that is executed by the team during the software development life cycle (SDLC). Data driven testing is a test automation framework that stores critical data in spreadsheet format.
Therefore, to elaborate more on the importance of this testing technique, here is a detailed discussion on data driven testing.
A widely used software testing technique, data driven testing (DDT) is performed to test computer software. It is a kind of testing methodology where testing of the software product is carried out with the use of the defined sets of the specific inputs along with the sets of their corresponding and expected outputs. As the testing is driven by the available sets of the inputs, hence this technique is known as "Data Driven Testing".
Generally, the use of the DDT may be seen in the automated testing where the test input and its expected output is being retrieved from the specific data source such as data pool, excel files, ODBC sources, csv files, etc.
From ensuring wide coverage to allowing multiple executions of tests, there are various important features of data driven testing, few of which are mentioned below:
In software testing life cycle (STLC), there can be various reasons to perform data driven testing, as it plays a significant role in creating a software product that adeptly fulfills the requirements of the client/customer. Therefore, mentioned below are some of these reasons for performing data driven testing:
Before we move on to understanding the various aspects of DDT, it is crucial that we understand its workings, which will offer us a better insight into its process. Hence, the basic working of the DDT consists of the following activities in a subsequent manner.
To get a comprehensive understanding of the workings of data driven testing, click here.
To ensure the accuracy of data driven testing process, it is vital for the testing team to provide correct input values and to create a data driven test script that evaluates the software accurately when executed by the team. Moreover, following steps should be taken to into account while creating data driven test.
During data driven testing, the team adopts various practices that improve the quality of testing and helps them get accurate and expected results. Some of these steps are:
When a particular testing technique is executed by the team, it offers them a variety of advantages, which further increases the efficiency of the testing. Likewise, when executed, data driven testing too offers various advantages to the team, few of which are mentioned below:
Though the list of advantages offered by data driven testing is non-exhaustive, it is still important that we mention few of its disadvantages, which are an integral part of this process. Therefore, some of the disadvantages of DDT are:
|Data Driven Testing||Keyword Driven Testing|
|1.This is an automation framework wherein the team read data files to get test input & output, which are added to the variables in the test script.||1. Keyword driven testing is a software testing methodology that used to define test cases based on the predefined keywords.|
|2. Data driven testing is also known as DDT.||2. Also known as Table Driven Testing or Action Word Based Testing.|
|3. The test cases prepared for DDT are designed with less code, which increases its simplicity and understandability.||3. Keyword driven testing can be applied to both manual & automation testing.|
|4. It requires high level programming & technical skills.||4. It can be performed without programming knowledge.|
|5. Data driven testing can be performed with the assistance of tools like SoapUI Pro and more.||5. Uses keyword, action words, or database tables to define the functionality to be tested.|
|6. Redundancy & unnecessary duplication of test scripts is reduced in DDT.||6. The tests cases created for keyword driven testing are concise, understandable, and easy to modify.|
|7. In DDT the input data can be stored in various data sources like XMC, CSV, databases, etc.||7. Developing keywords & its related functionalities is a time consuming process.|
|8. It can be performed during any phase of software development life cycle (SDLC).||8. One can perform automation testing in the earlier stages of development life cycle.|
|9. It is a scripting technique that stores test input and expected results in a table or spreadsheet.||9. Simplifies the maintenance of the changes in the software under test (SUT).|
An integral part of software development life cycle (SDLC), data driven testing is performed by to ensure an optimum experience for the users. It allows them to store test input and output in a spreadsheet format, so that a single control script can execute all of the tests in the database table. Hence, DDT plays a critical role in validating the quality and effectiveness of the product and should be a part of a successful development process.