The COVID-19 pandemic has had an undeniable impact on the business landscape, forcing many companies to adapt to digitalisation and technology in order to remain relevant. Looking towards the future, it is evident that we must re-evaluate our approach to software testing, development, design and delivery to stay ahead of the curve amidst this ever-changing environment.
To enhance the reliability and quality of their software, businesses can integrate the most recent advancements in software quality assurance. In this piece, we’ll examine the six most prominent software QA trends expected to emerge by 2023.
Leading Test Automation Tools Without Code
In recent years, the no-code approach has become increasingly popular and is now influencing the testing industry. One of the most prominent applications of this approach involves utilising AI algorithms to generate test cases via visual modelling, allowing for code-free testing tools. While it relies on the automated tests previously developed by QA engineers, this method is a great option that can help create basic test scenarios rapidly and efficiently.
Codeless testing delivers comparable results to conventional methods and can be accessible to anyone with basic computer skills. The demand for codeless testing automation has surged in popularity due to the abundance of available tools like Testsigma, TOSCA, tests.ai, Ranorex, Ghost Inspector and TestComplete.
Investigations Launched by the Internet of Things
Software testing’s key objective is to consolidate and guarantee the proper operation of all system components. Another query that arises is which innovative technology can foster efficient collaboration? The Internet of Things (IoT) is a transformative industry that has witnessed remarkable growth in recent years.
IoT-Driven Testing is developed to guarantee the consistency and readiness of hardware, software and operating system implementations on all interconnected devices. This testing methodology has been refined over time to accommodate the increasing need for enhanced cybersecurity in IoT products, facilitating highly interlinked and resource-efficient smart devices that come equipped with embedded safeguards against attacks and vulnerabilities.
Automated Testing with AI
The rise in demand for tailored AI solutions has driven Artificial Intelligence (AI) to a more prominent role in software testing. A diverse array of automated testing methods now incorporates AI, including:
- Companies can craft products with a clear emphasis on meeting consumer requirements by creating test cases based on user actions, simplifying the product development process.
- Regulating and monitoring the software’s performance with precision is possible by utilising the collected data from regression tests.
- Ensuring the uninterrupted composition, installation, and execution of automated tests.
- Testing on emulated hardware and software, including mobile browsers and specific devices.
AI boasts countless capabilities, making it an indispensable tool in software testing. Moreover, AI-powered automated testing is aiding businesses in lowering expenses related to maintenance of their software solutions.
Maximizing Performance
For most businesses, high-performing software is critical. In the past, success in this regard hinged on resolving a multitude of factors, including economic worth, usability, technology, and security. Striking the ideal balance between these parameters, along with user experience and market demand, proved challenging.
Performance Engineering introduces customer-focused testing to the initial stages of software development to simplify the process. This approach enables development teams to resolve any issues promptly, thereby enhancing efficiency. Performance Engineering is generally preferred over traditional performance testing that typically takes place on finished products or Minimum Viable Products (MVPs).
Testing a Blockchain System
The cryptocurrency and financial industries face significant challenges in decentralised technology testing, primarily concerning blockchain technology. Fortunately, blockchain testing offers ideal, customised testing solutions for these organisations, streamlining the process.
Ethereum Tester is a widely employed tool for Web3 Integrations, APIs, smart contracts, and backend infrastructures. It is simple to use and makes use of blockchain technology to guarantee the security of these services. You can download the API for free from GitHub.
QAOps
DevOps has garnered significant media attention, and its impact on the software industry is widely acknowledged. Consequently, more businesses are recognising the potential contributions of Quality Assurance (QA) in QAOps. This strategy entails developers, operations and testing engineers working collaboratively to enhance CI/CD pipelines and make progress throughout the software development life cycle.
QAOps is an innovative approach to the automation of IT processes that boosts quality and hastens releases by integrating all tests and quality assurance into the Continuous Integration and Continuous Delivery (CI/CD) pipeline. From the project’s inception, QA engineers should devise tests to guarantee optimal outcomes. In a nutshell, QAOps delivers heightened quality and productivity in software development.
The Significance of Testing Will Only Increase
Last year revealed that dependable, efficient, and cutting-edge software systems are vital to businesses. This is one of the primary reasons why digital technology is rapidly gaining ground. To stay competitive in current markets, companies must create high-quality software solutions, and customers are increasingly aware of how critical technology is in their lives.
The vast number of available options can make it challenging for businesses to understand Quality Assurance (QA) and testing. As a result, it may be worthwhile to contemplate QA outsourcing to appraise the manpower and training needed for a comprehensive QA unit.
