Things keep changing rapidly in the software development lifecycle. Testing is an area that is integral to the creation of applications. Of late, it has become an early activity during the software development lifecycle.
In this article, we will learn about some of the latest trends that will affect the testing process. The year 2022 will be witness to a lot of changes in technology and digital transformation, and software testing practices will see major overhauls too.
Let us look at some of the software testing trends that will dominate in 2022.
#1 Agile and Continuous Integration Testing:
Thanks to Covid-19-powered remote work scenarios, agile development methodologies have gained momentum and will stay that way in 2022 as well. An agile testing approach will help with increasing transparency and flexibility. It ensures faster deployment, a reduced time-to-market, and a greater ROI because it increases the speed at which multiple applications can interact with each other.
When agile testing is backed by continuous integration, developers can integrate their code into a repository which makes it possible to identify issues in the code during the software iteration process itself. This implies that serious issues can be resolved during the early development stages.
#2 Cybersecurity and Compliance Testing:
With more and more connected applications and devices in the market, there are a lot of cybersecurity issues that crop up because of it. Businesses lose millions of dollars when they become victims of cyberattacks. Protecting the data of customers is pivotal to the existence of a business as a loss in reputation can completely tank their sales. The damage can be irrevocable for businesses.
You can expect more businesses to slowly shift to cloud-hosted environments by letting go of legacy systems. During this period of digital transformation, businesses should embrace modern testing practices so that they can be compliant with standards and keep their technological infrastructure secure.
#3 Testing Centers of Excellence (TCoE):
You will find Testing Centers of Excellence spread rapidly in 2022. It is a structure that integrates different methods of high-quality standard testing. The structures in TCoE allow businesses to integrate a new tester into any random testing team. Doing so will increase the effectiveness and the speed of the testing cycle. TCoE provides an effective solution for effectively automizing testing cycles. It takes little time to go through a test cycle and doesn’t affect the code in any way too.
Issues like underperforming tests and underutilized resources which stem from disparate test processes spread across different geographies and teams are some of the main reasons why there is a need to establish a TCoE. TCoE helps empower a centralized QA function, detailed metrics spanning projects, consistent processes, and consistent delivery- all of this will help with customer satisfaction.
#4 Open Source Testing Tools Usage:
Editing open-source software allows testing teams to achieve the greatest level of safety and quality. It offers a great opportunity for new testers to better their craft. When testing on open source projects, testers can also integrate Selenium, Robotium and Jmeter. These three tools provide the best safety check estimation and show all the issues that are present in the code.
#5 Test Automation:
Software teams cannot afford to ignore test automation if they want to implement DevOps practices effectively. It is imperative that they find places to replace manual testing with automation testing. Test automation is important for DevOps, at least regression testing should be automated. There is a lot of space to increase the adoption of test automation in most businesses. Some of the most popular automation tools are Selenium, TestComplete, and Katalon, which make automation easy and incredibly effective.
#6 Artificial Intelligence for Testing:
With recent advancements in AI and ML and the amount of data that is available, the opportunities for AI/ML testing will only increase. The application of AI/ML testing is still in its nascent stages, therefore, businesses should find ways to better their testing practices for this technology. AI/ML algorithms generate better test cases, test data, test scripts, and reports. They can create predictive models which would suggest how, when, where, and what to test.
Automation testing tools are being developed using AI for visual testing and a self-healing mechanism. It helps the test teams in writing fewer tests when performing functional testing.
#7 Shift Left Testing:
It is an approach where testing is performed early in the software development life cycle. In a traditional software development life cycle setup, the requirements are written on the left side and testing is placed on the right side of the workflow. The issue is that it will result in negative outcomes for the business- delay in bug detection, consumes a lot of time, increases costs.
When testing teams employ Shift Left, there is more collaboration and it ensures that all the initial ideas are feasible. It reduces the time-to-market and helps provide the best outcomes for the business as the QA team works closely with the product and development teams. Shift Left testing helps detect bugs early, ensures a high quality of code, and saves time
#8 Blockchain Testing:
Blockchain uses distributed ledger technology and is one of the hottest technological innovations in the world right now. It has a number of use cases, right from providing secure transactions to improving security. Blockchain testing involves the systematic evaluation of its multiple components such as blocks, transactions, wallets, mining- all of which require special tools to test. It helps in the development of various quality stages from testing the performance of the system to that of the blockchain application.
#10 Scriptless Test Automation:
It enables testers and business users to automate test cases without worrying about the coding that is involved in it. Scriptless test automation reduces the time taken to understand the code and helps businesses achieve faster results.
By integrating a smarter framework design, it reduces the future costs which would have come from augmented script maintenance effort. It has a simple and non-complex test design and development process.
Testers do not have to worry about developing a framework, instead, they can carry out the testing work. TestCraft, Ranorex Studio, ACCELQ, ZeuZ, and Robot Framework are some of the tools that do scriptless test automation.
QAOps integrates quality assurance into the software delivery pipeline, thereby increasing the speed and the quality of the testing process. It improves the software delivery as they work with the development and operations team together. The backbone of the QAOps process is continuous integration, continuous testing, and continuous development.
Since QAOps follows the DevOps approach, it makes the software development cycle smoother and faster. Thanks to faster development lifecycles, the business will have more time to work on additional functionalities. Since QAOps relies on continuous testing, the end product will provide a great experience for the customers.
#12 Big Data and Analytics Testing:
The amount of data that each company possesses, both internal and external, is incredible. Converting the unstructured data into actionable business insights is pivotal for businesses. In the coming years, big data and analytics testing will become more mainstream. To ensure that there is a roadmap for executing this properly, businesses need to align this with their goals.
#13 IoT Automation Testing:
More than 23 billion IoT devices were active in 2021. The number is expected to increase to 50 billion by 2030. This means that there will be more IoT devices being used by consumers, which means that they should be validated for their performance, security and functionality.
Testing is pivotal for IoT devices because each system in an IoT influences the performance of all other devices. Effective testing will ensure that the entire IoT network can work collaboratively and deliver the way it is expected to. Wireshark, Tcpdump, Shodan, SOASTA, CloudTest are some of the best IoT software testing tools.
These are some of the hottest trends in the software testing world which will dominate 2022 and beyond. Businesses should be aware of the rapid changes that are taking place with respect to testing practices and adopt the latest trends. The only way to stay ahead of the competition is by embracing these innovations.
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