6 Emerging Tides in Software Testing in 2023

It is evident that the global pandemic has had a significant impact on businesses, with many having to embrace technology and digitalisation to stay competitive. As we look ahead to the future, it is clear that we will need to adjust and evolve our approach to software testing, development, design and delivery to keep up with the changing landscape.

Companies can improve their software dependability and quality by adopting the latest trends in software quality assurance. In this article, we’ll take a look at the top six software QA trends for 2023.

Top Code-Free Test Automation Tools

For several years, the no-code trend has been increasing in popularity and is now beginning to make an impact on the testing industry. Specifically, visual modelling is used in AI algorithms to create test cases quickly, thus allowing for the use of codeless testing tools. This is reliant on the automated tests created by QA engineers beforehand, but it is an excellent option that enables the creation of simple test scenarios in a limited amount of time.

The results of codeless testing are comparable to those of traditional methods, and they can be easily accessed by those with basic computer literacy. Codeless testing automation is becoming increasingly popular due to the ready availability of tools such as Testsigma, TOSCA, tests.ai, Ranorex, Ghost Inspector and TestComplete.

Examinations Initiated by the Internet of Things

Integrating and ensuring the correct functioning of all system components is a primary objective of software testing. Additionally, what is the most innovative technology for effective collaboration? The Internet of Things (IoT) is a revolutionary industry that has seen significant growth in recent years.

IoT-Driven Testing is designed to ensure that hardware, software and operating system implementations across all connected devices are synchronised and ready for use. This testing technique has been improved to accommodate the growing demands for a more secure cybersecurity in IoT products, allowing for highly interconnected and resource-efficient smart devices that have built-in protection against vulnerabilities and attacks.

AI for Automated Testing

It is unsurprising that Artificial Intelligence (AI) is playing an increasingly pivotal role in software testing, given the growing demand for customized AI solutions. There is already a wide range of automated testing techniques incorporating AI, such as:

  • By generating test cases based on user actions, firms may more easily develop products with a clear emphasis on meeting consumer requirements.
  • Using the collected data from regression tests to keep an accurate watch on the software’s performance.
  • Assuring that automated tests are written, installed, and run without interruption.
  • Testing on emulated hardware and software, such mobile browsers and specific devices.

AI is an invaluable tool for software testing, due to its many features. Additionally, AI-driven automated testing is helping many businesses to reduce the costs associated with maintaining their software solutions.

Optimizing Performance

High-performing software is a must for the majority of businesses. In the past, achieving success in this area meant taking into account various elements such as economic value, usability, technology and security. It was difficult to find the right balance between these factors, as well as user experience and market demand.

Performance Engineering aims to make the software development process easier by incorporating customer-focused testing in the initial stages. By taking this approach, development teams can quickly identify and resolve issues, thus improving their efficiency. Performance Engineering is often preferred over conventional performance testing, which is usually conducted on completed applications or Minimum Viable Products (MVPs).

Tests of a Blockchain System

Decentralised technology testing presents a distinct challenge to those in the cryptocurrency and financial industries who utilise blockchain technology. Fortunately, blockchain testing can provide effective and tailored testing solutions for these organisations, simplifying the process.

Ethereum Tester is one of the most popular tools for Web3 Integrations, APIs, smart contracts and backend infrastructures. It is user-friendly and employs blockchain technology to ensure the security of these services. The API is available to download for free from GitHub.


DevOps has generated considerable attention in the media and its impact on the software industry is widely recognised. As a result, more businesses are starting to recognise the potential contribution of Quality Assurance (QA) in QAOps. To enhance CI/CD pipelines and make progress throughout the software development life cycle, this strategy involves developers, operations and testing engineers working together.

QAOps is a new approach to automation of IT processes which ensures higher quality and quicker releases through the incorporation of all testing and quality assurance into the Continuous Integration and Continuous Delivery (CI/CD) pipeline. From the outset of the project, QA engineers should begin designing tests to ensure the best possible results. In summary, QAOps allows for increased quality and productivity in software development.

The Role of Testing Will only Grow in Significance

Last year, it became clear that businesses rely heavily on dependable, efficient and cutting-edge software systems. This is one of the main reasons why businesses are rapidly adopting digital technology. To remain competitive in today’s market, companies must produce high-quality software solutions and customers are increasingly aware of how important technology is to their lives.

It can be difficult for businesses to get to grips with Quality Assurance (QA) and testing due to the sheer number of options available. Therefore, it may be beneficial to consider QA outsourcing in order to assess the manpower and training requirements for a comprehensive QA department.

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