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5 Test Automation Trends Set to Unfold in 2020

The development of any computer software is incomplete without testing being an active part of the overall process. Our understanding of software testing need not be limited to correction and quality but should also focus on the completeness of the target software. As an ongoing practice, Quality Assurance (QA) activities are getting influenced by enhanced digital technologies, resulting in tremendous inclination towards test automation.

Test automation or automated testing is a software testing method that includes special software tools which guide test execution and further examine actual test results when compared with expected or predicted results. This process is carried out automatically with almost no interference from the test engineer. What makes automation testing the preferred choice in the software testing sector? We all are familiar with the fact that software projects require significant investment when it comes to testing. Apart from this, there are other factors such as time, inbound resources, miscellaneous costs, etc., which are also added on. Most of the companies aim at keeping the cost low and this is achieved by implementing an automated method that ultimately speeds up the process. 

According to the current industry setup, you will find test automation as the front runner in the field of software testing. Every year there are new test updates and automation frameworks, which are actively synced with refined methodologies keeping the evolution on track. This write-up comprehensively details the latest test automation trends of 2020 that are essential for the world of software testing. 

  1. Rejuvenated Popularity for Codeless Test Automation 

The use of Selenium automation testing in the form of the Selenium framework is backed by renowned programming languages such as C#, Ruby, Python, JavaScript, etc. It is imperative to note that, the creation of test cases associated with automated browser testing cannot be carried out without the programming knowledge to operate with Selenium Grid or Selenium WebDriver.

Presently, AI technology is the core for developing codeless automation testing tools, with further assistance from visual modeling that permits accelerated creation of test cases that are dedicated to Selenium automation testing. In simple words, testers can benefit from these tools to structure test scenarios without stressing too much on coding knowledge. Interestingly, growing dependency on codeless automation testing tools is expected to transform as one of the striking automation testing trends as the year unfolds.

2. AI to Rank Higher in Test Automation

It is quite common to tackle diverse test scenarios during the operation of software development. The chances of test code failure with any particular type of web product can force developers to stretch time and effort so as to accommodate necessary changes. The incorporation of AI has proven effective in sorting out challenges related to image recognition. AI algorithms help to capture and study data, which functions as the primary assist on the DOM. 

3. Smart Test Performance

This particular test automation trend did hit the bull’s eye in 2019 and is predicted to touch a bigger milestone in 2020. Smart test execution allows the developer to check the code with an added flexibility to automatically spot specific tests required to screen the exact check-in. Therefore, the hassle to run all the tests is mitigated, and we instill the habit of running lesser tests.

With smart test operations, you get to save time, resources and money. Hence, you now have a constricted test set which portrays a more targeted viewpoint. For instance, if the test fails, you immediately get to know about a direct relationship between that particular check-in and the concerned tests. 

4. Crowd-Sourced Testing Solidifies Ranking in Test Automation

Organizations are looking for testing resources from external grounds so as to fulfill multi-experience requirements. This includes setting up a democratic system which is expected to bolster the field of automation testing. Crowd-sourced testing is one such technique that is getting famous since organizations are planning to enhance user experience with an extended goal to uphold their competitiveness in the worldwide market.

One of the striking aspects of crowd-sourced testing is the quick and cost-effective acquisition of user insights. According to a researched report, the global market for crowd-sourced testing is anticipated to augment at a CAGR of 9.9%, thereby, ascending to $2 billion in 2024.

(source: https://www.marketsandmarkets.com/Market-Reports/crowdsourced-testing-market-228543210.html)

5. Widespread Use of Hyper Automation Testing

The term ‘Hyper Automation’ defines a collection of tools such as AI, Natural Language Processing (NLP), ML and Robotic Process Automation (RPA) which are utilized to provide the benefits of AI-driven decision making. To be precise, hyper automation testing tools elevate human productivity simply through the enforcement of automating routine processes. Hyper automation is marked as one of the prominent automation testing trends set to strengthen in 2020 that will be in huge demand. It is predicted that companies will be using a combination of AI and RPA aimed at test automation and investigation of automation reports.

The software testing arena has been receiving high-end traction from test automation which has effectively simplified development processes for most companies. The above-mentioned test automation trends are a fine example as to what lies ahead for a better tomorrow! If you wish to acquire in-depth knowledge about these riveting trends, simply reach out to test automation experts at ImpactQA.

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Why Telecom Industry needs Software Quality Assurance?

The telecom sector has been experiencing stages of development to acclimatize itself as per new trends. New technologies like augmented reality (AR), the Internet of Things (IoT), virtual reality (VR), and more, demand them to restructure and realign their business strategies as per the cloud era.


The telecom sector mainly comprises set of segments like Internet Service Provider, Satellite Communication, Wireless Communication, etc. To gain a competitive edge, they are focusing on delivering customized solutions to their valued customers and building long-term relationships with them. To meet such requirements, telecom companies must ensure these innovative solutions interconnect seamlessly with current infrastructure and legacy systems.

Telecommunication Services – Statistics and Facts

  • As per a survey by Tata Consultancy Services (TCS), the telecommunication industry ranks fourth in the rank as far as spending on IoT technology is concerned. Incorporating software-based updates to their services has been rated as the top business strategy by telecom sectors. Other business advancements are improving customer segmentation, delivering customized marketing campaigns, and providing custom services.

Core Reasons Why Telecom Needs QA Testing?

  1. With the exponential rise in new technologies, the quality and the series of services from internet service providers (ISP) and telecom companies are increasing and profit margins are decreasing. Hence, telecom must take a new look at ICT innovation and adapt their enterprises to digital transformation by managing organizational flexibility. Expert QA providers can assist in effectively testing the operation of the software and systems for delivering the right output.

2. With countless subscribers, a series of new products, and tailored solutions, the operational support services like customer care, order fulfillment, service configuration, and billing are becoming gradually more intricate. Hence, the expense of handling these operations requires resources and distinct tools, thus increasing the financial overhead. Timely testing will help the telecommunication industry to outshine the competition. This brings forth that new products function appropriately and are secure and convenient.


3. One of the most critical areas of the telecom sector is managing the network configuration, network inventory, fault management, and service provisioning. These are some significant support management functions that allow the business to roll on-track. Business Support Systems (BSS) and Operation Support Systems (OSS) support the operation of end-to-end solutions. The testing team can implement the proposed solution; manage the complete process by addressing all the issues.


4. Telecom service providers need to restructure their infrastructure, IT connectivity, and concentrate on offering data and voice services that are reliable and affordable. Network Security has to turn out to be a major priority for this sector as they are encountering challenges with the emergence of new technologies threats. Through the QA and testing team, the vendor will get a well-set quality assurance process and developed solutions that will fit their business.


5. The success of the telecom sector totally depends on how well you keep the customer, which is possible by delivering the service as desired. Customer retention can be achieved by establishing robust back-end software, the customer-facing application that is user-friendly is highly responsive, and has a strong IVR system. QA providers focus on testing all kinds of telecom-related services optimizing time-to-market and reducing customer complaint lists.


Ensuring Success with Comprehensive QA Solution


As a leading provider of quality assurance services for the telecom industry, we analyze all major operating systems, as well as optimize the testing of operating systems and hardware devices. The benefits of using ImpactQA’s software testing services comprise:

  • Software Testing Test Coverage-Rigorously tests telecom and media applications to ensure compatibility, security, functionality, and reliability.
  • Assurance of Quality– Expert QA or SQA engineers can increase comprehensive testing coverage and assure new quality standards.

We also have strong expertise in specialized software testing services for the media domain, such as test automation, usability testing, localization testing, compatibility testing, and accessibility testing built through years of experience working for some leading clients. Our specialized team assists media and telecom companies in developing a great software testing strategy that fits the media and telecom industry ecosystem.

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Top 5 Software Testing Trends to Look Out in 2020

  1. Growing Use of Technology like Machine Learning and Artificial Intelligence
  2. Digital Transformation
  3. Transition to the Cloud and Increasing Adoption of IoT
  4. Performance Testing to Performance Engineering
  5. Big Data Testing

With the acceptance of digital technologies, software testing has taken a new spin. Organizations are increasingly considering approaches like Agile and DevOps, which encourage collaboration between testing teams and development teams. According to Gartner, by 2020, the costs of developing the IT industry will grow from 3.76 to 3.87 trillion dollars. Thus, IT plays a crucial role in our lives.

The global software testing market is also expected to grow at 14% CAGR (Compound Annual Growth Rate) by 2023. With the improvement and progress in the software methodologies and widespread acceptance of DevOps and Agile, software testing has evolved into a robust practice.

Considering the current trends in technology and testing, we have projected top 5 software testing trends to look out for 2020:

1. Exponential Use of Technology like Machine Learning and Artificial Intelligence
Machine learning (ML) is the next exponential tech trend, and it is knocking on the front door. It has already led a revolution in the development sector and use of applications. Certainly, the market for machine learning is projected to grow from $1.41 billion to $8.81 billion by 2022. There will be more testing solutions for recurring tasks.

Major tasks performed by the adoption of Machine Learning:

• Optimizing the Test Suite – unique code checks

• Forecast – Prediction of the main test configurations

• Log Analytics – Identification of checks that can (or could) be executed automatically

• Defect analytics – Discovering high-risk application points for prioritizing regression tests

The market scenario for artificial intelligence is also growing faster. It is anticipated that by 2025 it will attain 190.6 billion dollars. This suggests that the IT business is progressively moving to machine learning.

Influence of AI on testing optimization. Source of the image

Artificial Intelligence shows that the evolution of software testing is entering a new phase, the benefits of which have yet to be learned.

2. Digital Transformation
 According to the World Economic Forum, the value of digital transformation for both society and industry could reach $100 trillion by 2025. Enterprises continue to undergo intense digital transformation and become more dependent on new-edge technologies. This sets high requirements to the stability and reliability of software. Hence, the significance of software quality assurance increases as well.

The share of IT budgets spent on Quality Assurance has full-fledged improved by 35% since 2015 and is predicted to face another increase by 2020. At the same time, digital transformation presupposes experimenting with digital features, which calls for the agility and flexibility of the development and QA processes. Therefore, quality assurance faces contradicting demands for flexibility and stability, which sets a challenge for QA managers. They continue to search for non-trivial means of setting QA processes in a way that allows meeting both requirements. Know Top 10 Software Testing Companies in USA.

3. Transition to the Cloud and Increasing Adoption of IoT
With great stability, a growing number of enterprises move data storage and processing to the Cloud. According to the current research by Sogeti, 75-76% of all apps are cloud-based. At the same time, organizations are progressively adopting the Internet of Things (IoT) as this technology gives access to previously unavailable customer data and allows enterprises to make informed business decisions on the basis of data. The same study by Sogeti reports that 95-97% of the examined enterprises have implemented IoT solutions in any way.

Quality assurance for IoT and cloud-based apps calls for extreme specialized skills of QA team and QA engineers to better understand these apps’ implications on company’s business procedures.

The IoT creates a new height in systematic software testing. The following kinds of checks will be conducted in the IoT zone:

  • Scalability Testing
  • Testing the Compatibility of Device Versions
  • Monitoring Connection Delay
  • Safety Analysis (Device Authenticity, Availability and Accuracy of Authorization)
  • Data Integrity Evaluation

Despite the ever growing role of the IoT, 34% of the World Quality Report revealed that their products have Internet of Things functionality, but they still do not have a testing approach.

4. Performance Testing to Performance Engineering
Whether it is SMEs or big giants Performance Testing will continue to bring results and guarantee robustness. By 2020, performance engineering is gradually expected to replace performance testing methods. Performance Engineering evaluates customer experience, which results in commercial viability. Furthermore, it is significant to gauge the product performance to build robustness even in a crisis condition. Dates back the task of software testing was to assure product performance, however, now it is not sufficient to pay attention only to this element. Additionally, it is significant to focus on other elements like customer value, convenience and practicality of use, and configuration quality.

5. Big Data Testing
The trend of big data testing has been fueled crucially because of the robust procedures that various enterprises are following to churn out the best of marketing strategies. Acknowledging this fact, we must claim that the need for testing big data apps will witness a new height in 2020. In Big Data testing, software testers have to verify that terabytes of data are processed effectively using commodity cluster and other supportive elements. This kind of testing focuses on functional testing and performance testing. The quality of data is also a crucial factor in big data testing. The data quality is checked on the basis of distinct traits like consistency, validity, conformity, accuracy, data completeness, duplication, etc.

In addition, manual testing is gradually being replaced by automated testing. In 2020 we will see a hybrid of these two types, since there are still not sufficient tools to completely automate data processing and monitoring. But in subsequent years, it will be possible to see an almost complete replacement of manual testing with automatic.

Software testing companies will evolve into new dimensions by 2020 and the QA tester will have to grow to fill in larger shoes in future. The software tester will have to compete with a varied IT landscape, filled with new-edge technologies that demand automated, continuous integration among other traits, rooted deeply in the basics of software testing.

 

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