Exploring 2024's Top 5 QA Automation Trends

Exploring 2024's Top 5 QA Automation Trends

Unquestionably, the key to any successful software development process is software testing. Over the past five years, as technology has advanced at a rapid pace, the reality of software testing has changed. Moreover, because of their high efficiency and effective optimization, many popular software testing and QA automation tools and methodologies have been introduced and are being used permanently in business operations.

Are you prepared for the trends in software testing that will emerge in 2024? Ready or not, they're almost here!

Here Are The Top 5 Software Testing Trends Of 2024

Here are the top 5 software testing trends of 2024, take a look.

1. Shift Left Testing

Shift left testing is usually carried out in the early stages of developing software and systems in order to identify possible problems and defects before they become more serious. Its main objective is to reduce the amount of time spent debugging so that the team can concentrate more on improving features and functionality.

By using this testing strategy, the negative effects of postponing testing are avoided, such as insufficient testing resources, missed design, architectural, or requirement errors, difficulties in debugging and problem solving, and project delays.

Software development cycles can be shifted to earlier stages by applying the following four strategies:

  • Incremental shift-left testing

  • Agile/DevOps shift-left testing

  • Model-based shift-left testing

  • Traditional shift-left testing

2. QAOps

In the software industry, a new term called QAOps began to gain popularity a few years ago. It attracted more interest and was used more frequently for QA automation services by 2021. As it becomes more integrated, QAOps will likely become more involved in the software development life cycle in 2023.

DevOps and QA are conceptually combined into QAOps, which unifies the two processes into a single strategy. The last line of defense that guarantees the delivered software satisfies exacting standards is quality assurance, or QA.

Software development and IT operations are intended to be combined by DevOps. The combined process that arises from integrating QA into the DevOps cycle is known as QAOps. QA engineers and developers can work together on software development projects thanks to this integration.

It is anticipated that QAOps will bring a new software process model to the table, improving the development process's overall quality.

3. AI and Machine Learning-Based Testing

Software testing trends that incorporate AI and ML technologies are evolving to significantly improve testing methodologies as the use of automation in testing grows. For example, test cases are generated by AI algorithms, and patterns and irregularities in test data are identified with the help of ML techniques. It is anticipated that the application of AI and ML in automated testing will keep expanding and changing as companies look for ways to increase efficiency, boost precision, and simplify testing procedures.

4. Robotic Process Automation (RPA)

Based on studies and market research, RPA is expected to generate about 3.4 billion US dollars in revenue by 2027—a whopping 28.2% annual growth rate. Robotic process automation, or RPA, is a term used to describe the automation of repetitive tasks that do not require human intervention.

To start, it logs the steps taken by a tester in order to generate a reference. Through the use of machine learning (ML) and artificial intelligence (AI), RPA replicates these actions in a variety of screen scenarios. Despite the fact that the initial cost may be large, its automated nature ultimately saves businesses money by reducing time and needless operational testing expenditures.

5. IoT Testing

The Internet of Things (IoT) is a network of physically connected objects, including cars, appliances, and other household items, that communicate and exchange data. IoT testing is growing exponentially because security and functional testing are being prioritized more to ensure the smooth operation and efficacy of these networked devices. IoT testing is still desperately needed to ensure that the devices and systems in use today will continue to live up to user expectations and fulfill their intended purposes.

Wrapping Up: Software Testing Trends in 2024

It's difficult to keep up with the trends these days, as anything can change, evolve, or be rejected over night for seemingly insignificant reasons. Although keeping up with the trends in the software testing industry can be difficult, it is surprisingly possible to identify the patterns of favorite trends; this is demonstrated by the industry's recent focus on artificial intelligence (AI) and machine learning.

To obtain a competitive edge in the software testing market, one must be aware of emerging trends and adept at incorporating these technological advancements into standard testing procedures. Software testers have to adjust to different device features to meet end-user and corporate user needs. For QA engineers to produce high-quality software that is in high demand across a variety of industries, they must stay current with the most recent developments in software testing.

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