The process of software (software) testing is becoming more and more important every year. Today, this work is aimed not only at finding bugs or developing a product, but also at collecting analytical indicators. For example, a complete study of the idea itself, a theoretical search for possible negative factors that may affect the product, as well as an assessment of user interest in the project is carried out. In order to make such work as comfortable as possible, different so-called software testing trends
What types of testing will be used in 2022
Today's realities in software testing are such that customers set the shortest possible deadlines for complete delivery of a project. But this has had no effect on the simplification of the software. All the requirements for productivity have increased several times over.
This makes the use of classical techniques become a thing of the past, and in their place come more progressive and reliable testing trends. In 2022, the trends will only be related to the use of high-tech testing methods
The use of artificial intelligence and working with machine learning
Artificial Intelligence (AI) enables computers to conduct their own training based on the experience gained during work. They themselves follow all the set parameters, can quickly analyze the situation and solve the task given.
Recently, information technology has become increasingly associated with artificial intelligence and various neural networks. Machine learning, which allows AI to learn by using multiple solutions to similar problems to achieve a result in a basic question, is being actively used to simplify the work.
All of these aspects allow software testing on a completely new level. In doing so, developers gain a number of advantages.
- QA teams are given the ability to create different tests while using artificial intelligence tools methodology. The advantage of this method is that there is absolutely no need for human presence during this process. Also, to avoid slowing down the testing process, the AI removes the same cases so as not to delay testing.
- Artificial Intelligence can independently create and elaborate a matrix to organize requirements tracking. This leads to an increase in the scope and area of testing, as well as a more detailed result.
- As machine learning allows a great deal of processing of data that has been obtained from other users in the process, the AI will be able to make quick, high-quality conclusions and predictions. By doing so, a problem can be identified and corrected before it interferes with the software.
- Using AI in conjunction with machine learning, it is possible to organize the process of identifying errors in a more accurate and better quality. This methodology will also help to monitor various operations and processes that may later cause irregularities.
All these factors enable testing teams to conduct a complete analysis of the project. In this case, the highest level of performance is achieved while obtaining high-quality and elaborated code. The comfort index of the user interface is also significantly increased.
Increasing the level of automation
Thanks to the fact that the development of artificial intelligence and machine learning is moving forward at a fairly rapid pace, quality assurance (QA) engineering teams have more freedom of action. They can engage in a series of experiments to implement new ideas, rather than being completely immersed in the software testing process
and managing that operation.
Development and analytics experts say that in the future, there may be an unprecedented increase in the number of automated processes. This will lead to test teams not being able to run all operations. The large number of automated tests may affect the speed of work execution and slow down the process of project release. Therefore, experts conclude that it is necessary to isolate from all existing or emerging changes only those that will actually contribute to the acceleration of work.
Automation cannot completely replace manual checking of some elements. As a rule, it concerns those options, which are designed to interact with the user. If a tester tries to automate processes with errors inside them, it can lead to the most serious and negative consequences.
From this, we can conclude that 2022 will be entirely focused not on large-scale automation of all resources, but on a rational choice in the use of manual and automatic processes.
The use of CI/CD testing as a type of automation
There is not a single company today that has not shown a keen interest in CI/CD in the desire to improve and optimize its business.
Continuous Integration (CI) is given as continuing integration and Continuous Delivery (CD) means continuing delivery. This tool is one of the practices that refers to DevOps and Agile. With its help, developers will be able to carry out a full implementation of the requirements on business projects, as well as lead to an increase in the quality and safety of the code. This is because it ensures that all the important IT systems
of the project work fully and smoothly.
The essence of CI/CD is based on the fact that each stage of software development and design is tested using various automated tests. The code is then deployed to fix the problems identified.
The positive side of using the CI/CD method is that the detected errors are eliminated at the preparation stage, not in the final version of the project. This significantly speeds up the process of delivery, gives an opportunity to exclude revisions, returns or the possibility of serious errors.
This trend started to be actively used back in 2021. However, it has proven its worth, allowing it to move into the trends of 2022.
The active use of TCoE
The IT industry has been hearing and waiting for the emergence of Testing Centers of Excellence (TCoE) for years. However, it is still difficult to talk about the implementation of this approach in its full sense. Analysts and software testing experts predict active use of TCoE from the beginning of 2022. Therefore, it is predicted to become the next trend in the field of working with software.
TCoE means Test Center of Excellence. It is a kind of structure that deals with the definition, implementation, measurement of all kinds of controls, norms and standards of conducted testing.
Its work is aimed at dividing responsibilities among the teams. This process is carried out by the testers themselves, but all the main points related to performance data, the set of tools used, protocols and key indicators remain at a centralized level.
This structure gives the organization the opportunity to introduce a new tester into any of the existing teams, to improve the efficiency of the work and processes. There is no interruption of work, which has a positive impact on the quality of the final project.
At its core, TCoE is a team that carries out the process of developing re-use frameworks and standards for testing. The main reason why such centers were created is the inevitable introduction of new standards into the software testing process. They aim to optimize and improve the processes within the team. Also, the use of TCoE will allow achieving:
- a significant reduction in testing time while fully preserving the quality of the final code;
- obtaining the basis for effective automation of test processes;
- correction of the system to create the quality of the methods used by the company.
Concentration of the focus on achieving productivity
High productivity has always allowed projects to successfully move up. That is why testers and developers used to focus on this very parameter. Over time, the need to control other factors also appeared:
- safe product creation;
- excellent usability features;
- determination of the value for the business project;
- creating a simple configuration.
This has led to testing no longer being limited to just conducting productivity studies. Starting in 2021, developers will fully dive into all aspects of the project to maximize positive properties. Thus, in 2022, QA teams will become as versatile as possible and will be able to track all components of the software.
Conducting and organizing IoT tests
Internet of Things (IoT) is based on connecting all objects into one big network, which led to the name Internet of Things. This concept has been in development for a long time. The emergence of 5G networks has played a key role in increasing demand and interest in this type of testing. They will provide a high level of bandwidth, as well as increased speed of receiving and transmitting information, leading to the reliability of the devices grouped into a system of Internet-things.
Already today, software testers are preparing for the appearance of such devices. This will primarily be due to the fact that a number of new programs will be created for each gadget.
Developers will have to fully engage in thinking through and considering the risks and negative factors that can affect product security in one way or another. It will also be necessary to work through the launch process, taking into account the use of the Internet of Things platform. The appearance of new products is always associated with the formation of new problems, so there will be active work to eliminate all errors.
The basis for testing IoT software will be a number of key factors:
- security optimization;
- maximizing convenience and rational use;
- compatibility of novelties with other projects;
- creating a coherent database;
- system representation.
As with any product, security will play a key role. This is due to the fact that all devices will have constant access to the network, which can lead to various threats from the outside. Also, IoT-based gadgets will massively collect information about the owner, without additional notification and information about the nature of the research, which can also have a negative impact on the transparency of the work. Active development
and tests in this area will help to release products in an accelerated mode, but with the application of all norms to exclude the appearance of errors and problems in operation.
Creation of new methods of application security testing
Since the emergence of the Internet of Things will involve some risks, testers will have to do some serious work to provide new methods to test security. Even with minimal use of IoT devices, the owner may still be exposed to data leakage and its use in negative aspects. The reason for this manifestation is the use of numerous applications and programs not only on users' personal computers, but also in smartphones.
Every appearance of new software is associated with both positive and negative aspects. The positives include an increase in operational capabilities, while the negatives include an increase in vulnerability and percentage of possible threats. To solve this, teams will have to develop standards and methodologies to test new applications for potential external exposure.
Also, attention will be paid to studying the security parameters for different corporate programs. Since the presence of any, even the smallest possibility to enter from the outside can lead to a massive leak of important information, which can later be turned against the company.
Using tools with open source code in testing
Having the ability to quickly review and correct the source code of the software enables the team to apply all measures to achieve a high level of security and quality of the application. This setup will provide the ability to work efficiently and help train the new generation of testers in a more lucid and gentle manner. It will also ensure a high level of customer satisfaction with the project.
Therefore, testers will strive to use tools with open source code to conduct the most reliable verification of software. And also to get more room for the introduction of new techniques. It is expected to use such add-ons as:
Exactly these tools at the moment will be able to provide the best possible security assessment and point out all the errors that may be present in the code. However, in 2022, with the appearance of IoT devices, new tools and techniques may be developed to verify them, so trend tracking is necessary for this operation.
Relevance of testers in 2022
Because the next year will be rich in the appearance of new types of software, testers will be needed to solve problems and fix new bugs in all areas of activity. This category of specialists will be needed to improve the performance of all new applications, services, and devices.
Their work will be directly related to improving and increasing the quality score, so they will work closely with developers at the initial stages. Testers will be able to provide direct assistance in improving the quality of the code and the effectiveness of the use of the finished product.
Already at this point, companies are allocating large budgets to fund test groups. If this is not done, they will eventually produce products of poor quality. This will lead to reduced demand and huge losses.
Summary of the information in this article
IT technologies increasingly provide users not only with comfortable access to applications, but also help to solve all tasks. With their help it is possible to organize communication, run a business or obtain the necessary knowledge. All these opportunities appear due to the quality and efficient work of the software, which is provided by QA-teams.
The indicator of software reliability has been growing since 2020, which provides an opportunity to make an analysis of the quality of testers' work and the effectiveness of the trend tools used for verification. This increases the level of demand for specialists in this field, and the demand for engineers will only increase.
The year 2022 will be entirely associated with an increase in the security of user data. The active emergence of devices on the Internet of Things platform with possible bugs can lead to incorrect operation or information leakage without the knowledge of the gadget owner.
It will be necessary to improve software verification methodologies, develop new tools to identify potential bugs and threats, and use new flexible environments to work with projects in the initial stages of creation. The intelligent use of automated checks, which would combine perfectly with manual exposure, could play a big role in this. The use of artificial intelligence and machine learning will become most in demand and help achieve new heights for all testers. The flexibility and ability to train new experts based on open source will provide an increase in teams, open up the opportunity to create and test volume projects, and provide an injection of power to develop the next generation of tools.