15 January 2020

Top Software Testing Trends in 2020

 
software testing trends 2020


Year 2020: State Of Testing

Let’s break down Testing in 2020.  We know what’s coming thanks to “The State of Testing” project. 

“The State of Testing” was initiated by the ParctiTest in the partnership with the TeaTimeWithTesters to study the testing community. 

What challenges does it faces, what are its active feature and what are its practices? It is all analyzed and deeply studied to shed light on the existing problems and come up with a beneficial solution to that problem and a way to improve after aggressive discussion and meetings. 

After concluding the problem and discussing the factors needed to be adopted for improvement, the final report is prepared and  translated into many languages. 

It is then shared globally, and a meeting is arranged again via webinar with the QA experts and leaders. Its purpose is to further analyze the report followed by rigorous QA sessions to discuss its effects and benefits. 

Ok, so what’s coming in software testing trends in 2020.

Software Testing Trends 2020

These days, business is making its place in the intense market area which demands reliability and quality of the products to further expand the shares in the market.

Powerful software testing is a demand to verify the latest software. The software is tested to provoke better performance and better Return on Investments (ROI).

Because of the sensitivity and peculiarity of the Software Development Life Cycle, more businesses every day are inclined towards the state of testing cycles and are more adamant to invest in the latest and most innovative services of software testing.

With each passing day, there is an advancement in software development due to the innovations in technologies and various methodologies of the development process. Because of to this advancement in software development, the software testing trends are also updated frequently to meet the methodologies and technologies of the high quality of the software.

In the innovation of software development techniques like Agile and DevOps, software testing plays a significant role. For the following technologies, the most efficient testing methodologies and strategies required are:

  • Shift towards Automation
  • IoT
  • The Industrial Internet of Things (IIoT)
  • Cyber-Physical Systems
  • Cloud Computing
  • Artificial Intelligence with Machine Learning

It is strongly suggested that businesses should focus on the most innovative and important automatic software testing trends  to get the maximum benefits in the market.

testing trend

There is no doubt that software testing is always evolving but here are some of the most prominent testing trends which are expected to turn out in 2020:

  1. Artificial Intelligence and Machine Learning (AI/ML)

  2. Test Automation in Agile Teams

  3. Big Data

  4. QAOps: Quality Assurance Sees Changes in DevOps Transformation

  5. IoT Testing

  6. Demands for Cybersecurity and Risk Compliance

  7. Blockchain Testing – An Emerging Technology

  8. Performance Testing – Switching Towards Performance Engineering

  9. Surge in Security Testing

Artificial Intelligence And Machine Learning

It is predicted through the previous testing reports that the intelligent automation will be a top testing trend in 2020. 

The use of Artificial Intelligence and Machine Learning has the privilege in the software testing throughout the several years. This helps the QA teams to enhance their manual and automation testing strategies and to speed up their adaptation process. 

Back in 2019, the Quality Assurance (QA) teams also used this AL/ML testing software to predict the quality of test, detect test objects, classifying defects to interact with the applications under test and much more.

AI is predicted to be ever-present in every aspect of the latest and innovative technologies. It is also estimated that the investment in this testing software will reach up to 200 billion dollars by 2025. For the reports and the analytics, these features of AI are mostly used:

Log Analytics
Resolving the unique test cases that need manual and automated testing as well. 

Test Suite Optimization
Detecting and eliminating unwanted test cases.

Ensure Test Requirements Coverage
Extracting keywords from Requirements Traceability Matrix (RTM).

Predictive Analytics
Predicting key factors and aspects of end-users behavior and identifying the application areas to focus on.

Defect Analytics
Identifying defects or application areas that lead toward the business risks.

On the other hand, machine learning (MI) is predicted to reach new level in 2020. According to a report, in 2019 almost 38% of organizations implemented this machine learning method in their projects and this percentage is bound to only rise in 2020. 

Apart from all the positive aspects and benefits of the AL/ML testing software applications, they are still regarded as in their initial stages of the testing software. It is also said by the experts that both need some time to reach the maturity level.QA

Test Automation In Agile Teams

Test Automation was the top testing trend in 2019 when 44% of the IT companies used it for almost 50% of their testing, and in 2020 it is expected to only get higher. 

Test automation has become a significant tool in the software testing because the number of organizations to adopt the Agile and DevOps methodologies for fulfilling the demand for quality is continuously increasing. 

Test automation software helps in performing repetitive tasks, detecting bugs faster and more accurately, ensuring the coverage and providing continuous feedback loops. 

These are the reasons that IT organizations can save a lot of time, money and human resources if they use automated testing in their quality assurance process.

Apart from all these aspects, test automation still cannot be a proper and complete substitution of manual testing. It is recommended that the Quality Assurance teams should combine the manual and automated testing to ensure the best software quality. 

Because test automation is easy to say and difficult to do, many businesses have failed to get the most out of it and do not receive the desired Return on Investment. 

Read More–> Automation Testing Services

The developers of the test automation software should always keep on upgrading and modifying its features in order to fully satisfy the demands of Quality Assurance. It is predicted that the 2020 test automation solutions fall under the following criteria:

  • It will be made easy to adopt and use for the end-users with or without any testing experience.
  • It will support intelligent frameworks, which means that it will let the issues resolve themselves.
  • It will maximize test coverage and also ensure the quality of  the qpp.
  • It will have the complete cross-platform testing for API, mobile, web, API, and desktop automation. 

Big Data

From technology to healthcare, retail, banking, telecom to media and so on, big data plays a significant role in these businesses and many others as well. 

In the big data testing software, more attention is given on the employment of data to the segment and optimization of the decision-making processes. Through the help of big data, companies can deal with various types of data and data in excessive amounts as well. 

It can also help make the decision-making process better and also to enhance the market strategies with the authentic data authorization. In this data-oriented and technology-dependent world many businesses are inclined toward the big data software. It is then predicted that the demand for big data will increase at an exponential rate.

As mentioned earlier, the need for big data will rise in 2020 and the need for its anonymous applications will follow the same trend. This is because of the reason that many organizations are following the aggressive processes to make the majority of their marketing strategies.

QAOps: Quality Assurance Changes in DevOps Transformation

It is possible that you’re familiar with the DevOps methodology. 

DevOps is a combination of two things, Development (Dev) and Information Technology Operations (Ops). 

The aim of DevOps is to shorten the software development life cycle. That way testing teams can focus on other development functions, like pushing numerous updates which are in association with business goals and fixing bugs.

Just like the DevOps, the goal of QAOps is to enhance the process of communication between the original developers and the testing engineers by assimilating  the testing of the software in the CI/CD, rather than leaving it to Quality Assurance teams to operate in isolation

QAOps can be defined in two fundamental steps:

  • QA activities are assimilated in the CI/CD channels.

  • QA engineers are involved in the whole process of CI/CD channel and they work in collaboration with the developers.

One of the main examples of some companies adopting the QAOps is Facebook. In 2014, to enforce the login review across all apps and to shift to Facebook Graph API version 2.0, the Facebook team tested the new version of QAOps on the five thousand largest apps in order to ensure the smooth migration process. 

The team chose to apply QAOps through outsourcing. The result was that the Facebook team was able to complete the goal of testing those largest five thousand apps in just one month and they addressed some serious problems they were unable to solve internally.

The QAOps philisophy is not limited to be applied only by the giant tech companies but also by medium and small teams as well. Its applications can be flexed and merged to fit in any size of the businesses. 

With its remarkable features, the QAOps is predicted to become a top software testing trend in 2020 along with the DevOps.

IoT Testing

In a report by Gartner, it is predicted that the total number of IoT devices will reach about 20.5 billion in the whole world by 2020. These IoT devices are processed through the vigorous testing for the following reasons:

  • Security Assurance

  • Trustworthiness

  • Ease of Use

  • Compatibility of Device Versions and Protocols

  • Versatility of Programming Items

  • Monitoring Connection Delay

  • Scalability

  • Data Integrity Evaluation

  • Device Authenticity

Internet of Things testing engineers need to manage a tremendous amount of work in this field, particularly in observing communication protocols and operational systems. The QA groups should also widen their knowledge and enhance their skills for the usability, security, and performance of IoT testing as well.

Another challenger in the coming years for the IoT tester is based on the strategy development. Recently, a survey of the World Quality Report was done, and the results were that 34% of respondents said that although their products have the IoT functionality, their teams are still unable to devise or find the proper testing strategies

Demands for Cybersecurity and Risk Compliance

The demand for security is the ever-present issue and it is only predicted to get higher and higher in the coming years. Although the digital revolution has its extraordinary pros, it also comes with numerous security threats as well. 

For this purpose, the CIOs and CTOs from almost every company and from all the areas always put stress on the importance of the security issues and security tests for their systems, software, networks, applications, etc. 

For this purpose, the security teams work with the collaboration of their partners in order to make their products more resistant to threats, thus taking the cybersecurity to a whole new level.

These security tests not only make sure the safe transactions of money and data but also provide complete protection to their end-users. Because cyber threats are always alarming, and they can take place at any moment and in any form, the security tests will always be a popular topic in the next and coming years as well.

These are the best software testing trends which were followed in 2019 and are expected to get higher and to gain maturity level by 2020. This is not the aspect which we have to focus on. Our main topic of discussion is about the predictions which the state testers and testing industries have to face in 2020.

As the digital transformation is constantly evolving, testing engineers, as well as software product enterprises, must keep themselves up to date with the latest changes and innovations. 

Quality Assurance teams, leaders and practitioners should take these trends into account to build the most ultimate strategies, climbing up to a new level in the software testing industry. 

Predictions For 2020 Testing Industries

The use of Artificial Intelligence has prevailed in 2019. 

From the biometrics being excessively used in security and also a significant element in one of the biggest tech creations, Tesla cybertruck, which is bulletproof and electronic as well, proving itself to be a perfect combination for any car. 

This is a thing related to the use of technology in the security purposes of daily life but the expectations of artificial intelligence in software testing are something different. Following are some predictions briefed about the use of artificial intelligence in the software testing industries:

Role Of Digitization In Real Life Will Prevail

Digitization is the conversion of pictures sound and text into a digital form that can be later processed by the computer. 

The CEO of Anyline, Lukas Kinigadner said that he believes that the technology will prevail and will have greater effects on the daily lives of the people. 

He said that in the year 2019 digital transformation was common. But in 2020, the digitalization will continue to prevail, and it will be actively converting the physical world into a digital world. 

Because of this, the need for technologies will rise and the use of mobile optical character recognition will become dominant in all industries.

Connected Services Will Help To Grow Sustainability Of Products

John Phillips, the MD of EMEA Zuora, believes that the intelligent technology will make the organizations reach the higher sustainability goals of their products. It is a need of every customer that they demand reliability and sustainability of the products and that they should be environment-friendly.

The producers are always thinking about the ways how they can attract their consumers and make their offers more appealing and attractive towards them, to show their value in front of their competitors and offering high-quality products. 

Artificial Intelligence: Augmentation Will Win Out Over Displacement

AI will have the ability to dominate the transformation field and more firms will be using it to help with customer issues.

Some other main predictions are made for the 2020 testing industries which are as follows.

  1. The evolution of the inbox

  2. Consumers will take control of their vulnerability to fraud

  3. The need for cybersecurity testing skills will grow

  4. Bots will become a mainstream adoption

All the latest technology will not save you if you leave the front door unlocked, because hackers are always one step ahead.

Let us know what software testing trends 2020 you expect.
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