We've compiled a thorough resource on software testing automation for 2024 to assist you keep your testing approach up-to-date with the most recent developments in the field.
1.Development Based on Behavior Driven Development
The principles of Test Driven Development (TDD) and Acceptance Test Driven Development (ATDD) are the basis for Behaviour Driven Development (BDD) (ATDD). Due of its numerous advantages, behavior-driven development (BDD) has also gained traction among testers. Besides providing a business-centric viewpoint, BDD has been shown to improve teamwork and communication across organizational boundaries.
BDD provides with its Gherkin Language user stories and scenarios more detailed instructions on how to structure the dialogue between programmers, testers, and domain experts. Tools that aim for a BDD approach, like Fit/FitNesse, can automatically generate technical and end-user documentation from BDD "specifications," but the notations that originate from the BDD approach, like the Given-When-Then canvas, are closer to everyday Gherkin language best practices and have a shallower learning curve.
As more and more release cycles include automation technologies, the most innovative companies seem to be relying on BDD options to boost their testing productivity.
By incorporating behavior-driven development (BDD) into your continuous testing methods, you may improve the rate and clarity of input from your testing team to the rest of the project's stakeholders.
2.Continuous Testing with Automation
Another movement that it will be gaining traction in the modern software testing sector in the next 2023 is continuous testing, which is being propelled by automation but also used along with continuous integration.
By integrating with preexisting CI technologies, continuous testing helps monitor testing for security vulnerabilities or logic faults in applications, microservices, and APIs, reducing the need to fix these problems later and the associated costs.
Many companies are adopting DevOps and DevSecOps, and one of the key components of these practices is the embracement of Test Automation. One such method that has become more important in current AppSec is continuous testing. Decisions about test creation, improvement, and refactoring can't be made data-driven without continuous testing. This means that the effectiveness and efficiency of your testing are inadequate.
In an agile setup, the QA team is only one of many who work together to ensure that improvements are being made all the time. Quality assurance must be a joint effort by developers, operators, and testers. These QA specialists can assist their companies stick to and even increase their release frequency, whether it weekly or monthly.
As we always have mentioned in our blog, the important advantages of automated testing for an effective product release since there is a significant danger of releasing into production with bugs if you adhere to a weekly or monthly release cycle without automation technologies supporting your testing operations.
Faster feedback and more frequent innovation are both possible thanks to continuous testing.
3.Shift Left Approach
Shift left testing, which implies starting testing as early as possible in the Software Delivery Life Cycle (SDLC), is one of the most significant and extensively debated themes in the software testing field. What's less well-known, both inside and outside the testing community, is that testers may use four very diverse strategies to move testing to the left. With shift-left testing, you can include various types of tests directly into the sprints, leading to a far more productive testing cycle.
These four fundamental approaches to moving testing to an earlier stage in the lifecycle are:
- Traditional shift left testing
- Incremental shift left testing
- Agile/DevOps shift left testing
- Model-based shift left testing
As a new 2024 software testing trend, we will see how new Shift Left new approaches help to discover requirements, architectural, and design issues before they are implemented in software but also how model-based shift left testing has the potential to be even more effective than prior shift left methods.
As a result, we will be seing in the coming 2025 how many businesses are beginning to focus on non-functional testing, such as API, performance, and accessibility testing. While shift-left testing is essential for thorough functional testing, it also offers considerable time savings by eliminating the following testing activities:
- It's less difficult to keep code and quality high.
- Early on, it delves into a wider range of non-functional and functional topics.
- Costs may be reduced by using it to detect flaws faster.
- It concentrates on unit and integration testing.
- It complies with agile and DevOps principles.
Presently, far too many organizations make the standard error of putting off performance, accessibility, and security testing until the very end of each sprint. However, some testers only look at these issues after something has gone wrong.
4.More emphasis on API and services during quality assurance.
Developers will need quality assurance specialists to assist them test newly created APIs before releasing their goods to the public since API testing is performed before black-box UI testing, finding even one API fault may prevent as many as ten GUI problems from being introduced later in the project. A greater emphasis on API testing automation before the front end is finished is necessary if you want to beat the regression curve and provide a bug-free product.
As it has been happening in recent years, next 2023 it won't be an exception that there will be a higher need for testers who can verify that these APIs meet all of the requirements of the company. In addition, firms will want individuals with expertise in managing partnerships with third-party suppliers as they shift away from in-house service provision.
Learn How to Adapt to the Next 2023 year with the Future of Testing with These Suggestions
- Machine learning and artificial intelligence (ML)
Using AI and ML to automate and optimize software testing is becoming more popular in 2023.
Incorporating AI and ML into your testing procedures should be a major focus for the next year if it isn't already.
You'll need this if you want to stay up with the dynamic nature of modern testing, but this tech also facilitates:
- Lessen bugs and raise precision
- Choose your actions more wisely.
- Boost the quality of your offerings.
- You will be saving money and time.
- Make your procedures more effective.
It is currently common practice to utilize AI to test software for defects and ensure it performs as intended. Artificial intelligence (AI) may be used to test features and functions of an app before they are made available to users, for instance. Machine learning may also be used to develop an automated test to verify that an app performs as intended by its human creators. This may include looking at results from related tests done on multiple platforms.
From now on Artificial Intelligence (AI) and Machine Learning (ML) will have a revolutionary effect on your software testing across the board, from test planning and execution to analysis and reporting.
- There will be A rising need to focus on Security Testing
In the next years, the developer community will place a premium on security testing. Businesses are beginning to understand that security testing is about more than simply finding bugs; it's also about ensuring those defects are never exploited.
Security testing's primary objective is to locate probable points of failure in a system and evaluate the severity of those flaws so that the system can withstand attacks without being rendered inoperable or exploitable.
Security testers need to know the ins and outs of their apps and the goals they are attempting to achieve before they can effectively test them. They also need to be able to spot problems right away before they allow hackers or other bad actors to get access to sensitive information.
- Optimize and automate your analysis of test failures
As was noted before, tackling the time-consuming process of test failure analysis is a certain approach to boost the testing efficiency. The massive amounts of data needed in modern-day test failure analysis make it a challenging task.
Automated tools and methods may greatly increase productivity by cutting down on time spent analyzing test failures. Artificial intelligence (AI) and machine learning (ML) technologies may be helpful here by enabling you to optimize your analysis and drive continuous reductions in the time spent here.
- Increase the Scope of Your Tests
In addition, we suggest that you dedicate 2023 to expanding the scope of your testing.
We recommend the following practices to ensure that your test coverage is updated:
- Make use of calendars in order to stay on top of things
- Harmonize protection with past defects
- It is important to keep your test automation suite updated.
- Don't retry broken tests without first fixing the problem
- Maintain your test automation suites by validating them often and making changes as needed.
- Target features and platforms, regression requirements, software iteration scope, CI/CD pipeline stages, personas, skill sets, tools, and more may all influence how and when tests are run.
- Give more value to User Experience Testing
Conclusion
The amount of money spent on automating software testing will increase in 2023 and beyond. With the increasing complexity of software and applications, automation and Software Test Management will play an increasingly vital role for testers in the years to come.The aim of a Test management tool like TestQuality is to manage and monitor the testing process from test case creation and organization, to running tests and analyzing test results and trends. A good test management solution will assist team members in creating and organizing test cases, managing testing requirements, scheduling tests, informing testers what to test next, executing tests efficiently, and finally tracking and monitoring testing results, progress and trends. Ultimately an effective test case management software solution assists an organization in creating and delivering high-quality and defect-free products.
TestQuality can simplify test case creation and organization, it offers a very competitive price used within your Jira workflows providing Rich and flexible reporting that can help you to visualize and understand where you and your dev or QA Team are at in your project's quality lifecycle. But also look for analytics that can help identify the quality and effectiveness of your test cases and testing efforts to ensure you're building and executing the most effective tests for your efforts.
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Automation is essential for businesses to stay up with the rapid development of their field. It's getting more difficult and expensive to overlook the possibilities and advantages offered when manual testing methods are eliminated. Constant changes are occurring in the software testing industry. The software testing industry will be dominated by these hot topics through 2023 and beyond. Companies need to keep up with the ever-evolving standards for testing, and they should follow the newest developments as soon as they become available. Accepting these advances is the only way to maintain a competitive edge.
Get in contact with us if you wish to boost your company's test management by using TestQuality's cutting-edge technology.