2019 has already arrived with a bang; bringing us the most unique technological solutions to rule over the out-dated ones. One sector which is sure to see new techniques is that of software testing!
New approaches for testing are being introduced in the IT industry due to the emergence of development technologies like DevOps and Agile. Therefore, the need to keep up and transform your own testing techniques according to the new ones is very important.
For this reason, we have created a list of the top 11 software testing techniques that you must look forward to this year!
1. IoT Testing
The ‘Internet of Things’ is a technology that has brought with it a radical change in the way communication between multiple devices took place traditionally. This has facilitated more and more devices to be connected together.
Therefore, IoT testing is a technique that is used to test the devices based on IoT technology. This testing process is conducted with:
A few examples of how the test cases for IoT testing should be created are:
2. Integrating Manual And Automation Testing Techniques
Since automation testing is not capable of conducting tasks from every area of testing. This is why software testers always benefit most by combining the efforts of both- manual as well as automation testing techniques.
By integrating automation testing while conducting manual tests, your productivity and efficiency can increase by 10 folds! This is why it is important to recognize and segregate the test case that can be automated.
Examples of such test cases may include:
For example, these test cases make up around 25% of your test plan. This will mean a 25% reduction of manual efforts and time consumption!
3. Equivalence Class Testing
This type of testing allows testers to segregate test conditions into partitions. This in turn allows test cases to be designed according to the different input domains created.
The logic behind Equivalence Class Testing is that test case for any input value from one domain is equivalent to tests for every other value from that domain.
A simple example:
Consider that the input values are valid between- 5 to 15 and 55 to 65
Therefore the test conditions created will have 3 equivalence classes-
— to 4 (invalid)
5 to 15 (valid)
16 to 54 (invalid)
55 to 65 (valid)
66 to — (invalid)
Therefore, you can now select test cases according to one value from each class, i.e., 1, 6, 38, 61 and 90
5. Agile Methodology in Digital Transformation
Organizations are going big on digital transformations in the last few years. This is because it helps in building new strategies as technology as their core to improve customer value and business.
Agile helps in defining business objectives, challenges and its use cases. Therefore, adapting this methodology in digital transformation ensures the rapid generation of quality business solutions. The best practices for Agile Methodology include:
It is important to create the right type of work environment for different ‘Agile teams’. Such environments must facilitate more efficient information sharing between teams. For example, the presence of the ‘burn down chart’, which tracks the amount of work completed by one team, where everyone can see it is very important.
The most common way an organization integrates Agile is by implementing it into a particular part of their business. This, however, creates a challenge if you aim to implement Agile for bringing about end-to-end changes in your organization.
This is why it is a best practice in Agile to use frameworks to make such activities easier. Examples of such frameworks include- Nexus, LeSS, and Large Scale Scrum.
6. Decision Table Based Testing
This testing technique comes into use mostly for functions that respond to different combinations of inputs. This includes identifying the functionalities where output depends on inputs.
For example, this technique can be used to check whether a ‘submit’ button becomes available to the user when all required fields are filled.
Guidelines to create the decision table are:
7. Cloud-Based Testing Technique
Cloud based testing includes the use of cloud-based tools for testing web, installed applications and web. These tools are used to match the environments and user traffic with the real-world.
A few tips to effectively implement the cloud-based testing techniques are:
8. DevOps Testing
‘Development and Operations’ is a development methodology that integrates all development functions including development and operations in the same cycle.
This methodology when used in software testing facilitates the testers to combine test cases, test automation and test designs so as to verify changes within the code while avoiding the product from crashing during the development phase.
A few DevOps testing technique tips include:
9. Big Data Testing
Big Data testing helps in ensuring that the quality of data is uncompromising. It’s going to be widely used testing technique this year because of the decreasing costs of data storage. In this type of testing, testers verify whether the terabytes of data have been successfully processed using supportive components like commodity cluster or not.
A few examples of the test cases in big data testing are:
10. Error Guessing
This is a technique where the tester bases of his test cases primarily by guessing the error which can occur in the code. The tester use their past experience to identify the problematic areas in the application.
A few guidelines for this type of testing are:
11. Risk-Based Testing Technique
This type of testing is implemented with the aim of finding out the critical errors as soon as possible with least cost. Here, functionalities are prioritized and tested according to the level to which they are error prone.
The steps to follow for effective risk-based testing include:
This 2019 will be a bumpy ride for those who do not stay at par with the latest software testing techniques. Therefore, if you wish to stay ahead in the IT industry, make sure you follow the mentioned software trends to help your testers get more effective QA solutions and tools!
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