Contact Us

Top Software Testing Trends to Focus in 2021

The importance of software testing has escalated worldwide due to the Covid-19 pandemic forcing people to shift most of their work dealings from home. Therefore, the need to upkeep applications, we need software testing that directly maximizes business operations.

In the earlier days, software testing was limited to finding errors and offering product improvement recommendations. These days, the impact of technological advancement has transformed the approach abided for testing and quality assurance. The usefulness of various tests across the SDLC (Software Development Life Cycle) indicates this process’s extensiveness.

Why is Software Testing Gaining Importance?

ImpactQA - Software Testing Trends & ModificationsThe count of applications used by organizations is growing which is further fueling the cost related to safety and security measures. This is the reason why software testing is under the spotlight for all good reasons. As per the World Quality Report, 60% of the organizations agreed that cost is the biggest test environment challenge. Furthermore, testing finances are now merged together with software engineering finances since QA is actively implanted in the development cycle. As a result, the majority of the businesses have started acknowledging the importance of quality assurance and have put their trust in software testing companies for offering specialized assistance.

“The principle objective of software testing is to give confidence in the software.”

This year has witnessed noticeable changes within the software testing arena. Several major players have broadened their operations to adapt to the remote working model. Based on all such tweaks and upgrades, the latest software testing trends already in motion and the ones set to impact in 2021 are cleared discussed in this blog. 

Fresh Opportunities with Artificial Intelligence (AI) and Machine Learning (ML)

The primary purpose of incorporating Artificial Intelligence in the software testing model is to achieve a smarter testing approach. The enhancement in reasoning and problem-solving skills is a result of AI & ML, which automate and upgrade the overall software testing process. Furthermore, the dependency on manual testing is reduced with the availability of artificial intelligence.

In 2019, AI & ML together worked suitably to speed up the test automation process. Moreover, these technologies’ combined effect was also reported to improve test quality, classification of defects, and interaction with an application under test (AUT). It is expected that in the following year, AI & ML will take charge of more complex tasks within the SDLC and further encourage test creation and test execution.

Also Read: What is the Impact of Artificial Intelligence on Software Testing?


                              QAOps & Its Popularity in Software Testing

Transformation to QAOps

The precise meaning of QAOps is the integration of quality assurance (QA) and CI/CD (Continuous Integration/Continuous Delivery) channel. In simple words, this model stresses on integrating the software process with the CI/CD pipeline. Based on this arrangement, the QA team must close work with the operation team and development team.

Under QAOps, DevOps is merged with continuous testing to ensure any software changes are readily forwarded to the CI/CD pipeline’s production phase. It prevents the hassle of conducting software testing at vague intervals without any clarity on quality issues.

Performance Testing Driven By Performance Engineering 

The performance testing of applications has reached a higher level where security, business value, configuration, and usability are vital benchmarks. Different software testing service providers have revamped their priorities inclined towards a user-centric approach to match up with this tendency. It includes the prevention of potential performance defects at the initial stages of the product’s life cycle. The advantages of performance engineering and testing engineering have transformed performance objectives for an application, including speed, stability, and scalability under varying circumstances. The system is now analyzed for discrepancies with the search operation thoroughly conducted to find their root causes starting from the development process. 



ImpactQA - Performance Engineering & Software Testing

Popularity of IoT & Big Data Testing

At present, the demand for the Internet of Things (IoT) has transformed into a global situation. We are living in a connected world that is filled with millions of devices that are directly responsible for increasing testing activities. As we can see, the components to be tested vary between platforms, devices, operating systems, and protocols; the overall software testing & QA market is likely to experience escalated demand for performance, security, usability, and compatibility testing.

A similar situation can be seen in terms of Big Data. With the rising demand for IoT-enabled applications, there are better opportunities focused on widespread data volumes required and accumulated for larger projects. Therefore, testing of big data certainly improves an organizations’ capability to confirm data-driven decisions. Furthermore, its effect can also be seen in refining market strategies with a broader perspective. 

The above-mentioned software testing trends are aligned with growing business needs to bring positive outcomes. The proliferation of AI, ML, and IoT has already created a major breakthrough and prominent upgrades related to software testing are likely to occur in 2021. QAOps and Performance Engineering are the promising segments gaining higher traction from leading software testing companies like ImpactQA, to reap bigger and better benefits in the coming years.

Learn More

6 Steps to Choose a Software Development Company

Choosing the right software development company for your future projects is one of the most crucial tasks of an enterprise, as this can directly influence the output you produce in the market.

But, before even you begin your hunt for your most suitable developing partner, it’s good to have clarity over your own future project requirements. Planning fields like goals and objectives of your company, software, and hardware to be used, total budget, manpower, etc is essential.

Once you are clear with your project specifications, you are all set to look for a suitable software development company that matches with you.

Now, with more than 100,000 small and large scale software development companies around the world, how do you find your perfect fit? This write-up will walk you through a step by step process to zero down your search for your ideal software development company.


Choosing a company identical to the size of yours is essential for a firm to identify with your goals as it directly impacts the way you will be treated as a customer.

A firm bigger than yours may not take your projects seriously and a firm too small may not have enough resources to fulfill your project requirements. Both ways your project results may get impacted by the choice of your software company.

Hence your first step would be to look for a company with matching manpower and an optimum annual funding budget, preferably similar to yours.


ImpactQA - Selection of Software Development Company


Once you’ve looked for a company with your ideal size, the next step is to check for that company’s ranking on trustable company review websites like and UpFirms. Check for the customer testimonials posted on the review pages. You can even try connecting with them personally to get more clarity over their past projects.

Also Read: BDD (Behaviour-Driven Development) – Nuts & the Bolts


Though your tech projects can be successfully delivered regardless of where the company is headquartered, having a company near your office location can have its own set of benefits.

In cases where the geographical location of your company is in areas that lack skilled developers, your outsourcing budget can take a toll. That’s where ‘nearshoring’ can come as a rescue option for your company.

The moment you decide to outsource your software development needs you to have three options available for you to explore

  • Onshoring— For example, your company is in South Korea and you hire a company in South Korea
  • Offshoring— For example, your company is in the USA and you hire a company in North Korea
  • Nearshoring—For example, your company is in Germany and you hire a company in Poland


Post shortlisting with reviews and locations, you can go further to ask for working testimonials of experienced developers from the software development company you choose, along with a brief of the projects they have delivered in past for a specific field of technology that you require i.e. web developers,  Mobile apps, IoT testing services, etc.

That way you have clarity over who will be handling your project. This will also help your company have direct communication with your developers in the future.


ImpactQA- Software Development Partner Company

Tech-Check for Partner Company

The technology stack is what you need to take into consideration your potential company to be able to figure out your ideal fit. A quick review of the company website can give you a brief idea of the kind of businesses the company is in. Websites, where too many technical services are mentioned, should ring a bell for you, as it’s practically impossible for a company to have these many experts unless it’s a giant boss.

An advanced study of your company’s project requirements can come handy for this step. If you’re well aware as a customer as to what technologies you may require in your projects, you may directly look for a company with an expertise in that specific skill and further go onto doing an in-depth study of their available developers.


At this stage, you may have zero downed your hunt for the perfect software developing company to three or four options. Now is when you can practically reach out to them once you have all the working testimonial of their past or current projects (i.e. the ones you can see on their websites or other ranking pages). Ask for opinions from other developer communities and finalize with the one you get the best deals from. Look for companies that offer maximum flexibility to choose your payment plans.

There’s a lot to consider before you choose your ideal software development company but briefly, the above-mentioned steps can help you where to start and how to approach this business problem. The key is to know where you stand in terms of available monetary and technological resources before beginning and then look for the company you wish to work with.

Learn More

5G Technology and Its Impact on Mobile App Development

This modern age dwells majorly around internet connectivity with speed being the topmost priority. Right now the global arena is dominated by the 4G network, although it is soon going to change with the expansion of the latest 5G technology.

It is a fact that 5G will surely be faster and proficient when compared to 4G. Furthermore, there are higher expectations linked to 5G and the emergence of opportunities for both consumers and businesses alike.

  • 5G network offers high speed along with lesser latency. This permits data to travel without delay.
  • The presence of wireless power proves beneficial in connecting devices effortlessly in the IoT ecosystem.

We can see it as an updated innovation that will impact the mobile community, thereby, supporting the field of connected devices. Gathering huge data amounts would certainly transform our lives by making the network grow faster, versatile, and secure. As mentioned by the HIS Economics, 5G would be successful in reaping $12.3 trillion global economic output by the end of 2035. Such figures are massive and do favor the progress of the 5G network in the coming years.

With a stern viewpoint, the advantages of 5G move to a greater level. In the coming years, this technology is predicted to transform the mobile app sector quite significantly.

Who Will Benefit With the Expansion of 5G Technology?

As per statistics, the global population will soon gain access to heavy content assimilated with enhanced graphics. During this phase, the utility of a 5G network will surpass personal smartphones since several sophisticated devices will access its service. For instance, technologies such as IoT and Machine Learning would be soon activated on the latest 5G technology.

Also, it is speculated that a broad array of applications will be backed by 5G, such as autonomous vehicles, real-time data analytics, etc. Since the 5G network offers ultra-low latency and quick data responses, several business owners are willing to create an app through offshore mobile app development. This action is directed at favoring a trustworthy company with a purpose to stay updated about the latest happenings associated to mobile app development and mobile app testing.

5G & Mobile App Development

With the future stitching better plans with 5G connectivity, mobile apps will surely operate efficiently and experience better productivity. Let us learn about some of the prominent effects of 5G technology related to mobile app development.

Quick File Transfer

Numerous apps are focused on file transfer along with money and data transfer involving multiple devices. The use of electromagnetic waves is a boon and involvement of 5G will prove as a blessing for different mobile apps to initiate the quick file transfer.

Greater Avenues for Navigational Mobile Apps

The availability of high quality, continual communication helps us access a better world full of opportunities to implement navigational apps. As 5G technology makes its way to assist major online services, its contribution towards navigation apps would surely uplift the tourism industry. For instance, developers can now create an app managing famous landmarks from different cities offering abundant information and suitably supported by 5G technology features.

Wide-Ranging Capacity

5G technology is renowned for rapid speed in collaboration with extremely low latency. Hence, developers can easily associate more features with virtual, IoT as well as augmented reality apps. Such a setup is eventually expected to deliver an outstanding user experience and enhance user retention.

Augmented User Interface

The most attractive and useful benefit of 5G technology is related to user interface transparency. In simple terms, while watching a movie on 3G or 4G network and later streaming it over 5G LTE, the difference would be observed. This new network will encourage developers to confidently upgrade the app UI at an extensive scale.

3D Model Deployment

There is no doubt that the introduction of 5G will not only impact mobile app development but will also alter the fields of 3D gaming and augmented reality. Developers and testers are assured that 5G network powered mobile apps linked to 3D printers would enable users to acquire high-quality 3D object models.

This write-up presents a comprehensive take on the effect of 5G technology to strengthen mobile app development. There are strong expectations that are shaping at a steady pace with the global industries geared up to accept 5G technology. For additional information concerning the role of 5G technology and mobile app development, you can connect with ImpactQA, a leading QA and software testing company.

Learn More

How IoT and Machine Learning is changing the World?

  • What is Machine Learning?
  • What is the Industrial Internet of Things (IIoT)?
  • How IoT (Internet of Things) and Machine Learning affect our life?
  • Challenges- IoT and Machine Learning
  • Solution

IoT and Machine Learning are getting smarter. Companies are incorporating artificial intelligence (AI)—in specific, machine learning—into their IoT apps. From smart thermostats to wireless sensors, IoT devices are gradually but positively garnering mainstream adoption. Virtual assistants like Siri, Alexa, and Cortana are only making this technology easy to adopt.

The core purpose behind advancement in the IoT space is to help information move smoothly and seamlessly. For as much as we condemn technology, we can all recall a moment when the right message has appeared at the right time, with perfect user experience.

The truth of IoT and Artificial Intelligence – specifically machine learning – is far less sinister. It is shaping the way we live, travel, work, and communicate. In fact, it is shaping our lives smartly and the decisions we make.

The proliferation of smart IoT devices is shaping the future and gives instant access to the information world.

Let’s have a glance at these burning IoT statistics:

  • There are about 17 billion inter-connected devices in the globe as of 2018. With more than 7 Billion of these IoT (internet of things) devices. (Source- IoT Analytics)
  • According to McKinsey Global Institute, each second, 127 new IoT devices connect to the net.
  • The global IoT market is expected to be worth $1.7T in 2019. (Source: CBI Insights)
Worldwide Iot Active Connection Graph
Worldwide IoT Active Connection Graph

What is Machine Learning?

ML is one of the critical components of AI, where a computer is programmed with the ability to improve its performance. In short, Machine Learning is all about analyzing big data – the automatic extraction of information & using it to make predictions.

Netflix, Amazon, Google, and other E-Commerce platforms use it to bring semantic outcome. It is based on algorithms that analyze the user’s purchasing history to predict their preference. Machine learning is gradually integrating into all verticals, through automation of physical labor, we are improving the connectivity and shaping the future of AI and the IoT.

What is the Industrial Internet of Things (IIoT)?

The Industrial IoT or Industry 4.0 or the 4th industrial revolution are the terms generally used for IoT technology in a business setting. The concept is similar to the consumer IoT; to use wireless networks, a mix of sensors, big data and analytics to optimize industrial processes.

IoT devices provide information and analytics to connect the world of hardware devices and high-speed internet.

We can separate the Industrial IoT into two main categories:

  • Industrial IoT- The Industrial IoT, connects devices and machines in sectors like healthcare, transportation, power generation, etc.
  • Commercial IoT– Commercial IoT sits between industrial IoT and consumer and shares aspects of both.

How IoT (Internet of Things) and Machine Learning affect our life?

IoT and ML are improving the way we live and communicate in our lives. For instance, the AlterEgo headset easily responds to our brainwaves to control appliances and on the other hand, Alexa and Amazon’s Echo enables the voice-activated control of your high-tech smart-house.

This amalgamation of IoT and Machine Learning is changing various industries and the relationships that companies have with their clients. Businesses can easily gather and transform data into valuable information with IoT.

IoT is also transforming business models by helping companies to move from concentrating on products & services to companies that give the best outcomes. By impacting organizations’ business models, the blend of IoT-enabled devices & sensors with ML creates a collaborative world that aligns itself around results & innovation.

Challenges- IoT and Machine Learning

These days’ enterprises are flooded with data that comes from IoT devices and is seeking AI to help manage the devices. It is tough to manage and extract crucial information from these systems than we might expect.

There are aspects to IoT like data storage, connectivity, security, app development, system integration, and even processes that are changing in this space. Another layer of complexity with the Internet of Things has to do with functionality level.

Critical challenges that companies face with IoT and ML are with the application, ease of access, and analysis of IoT data. If you have a set of data from varied sources, you can run some statistical analysis with that data. However, if you want to be proactive to predict events to take future actions, a business needs to learn how to use these technologies.

Many firms are turning to the main cloud platform providers — for instance, Google, Amazon, Microsoft, Alibaba Cloud, or IBM. These companies offer a range of services to store IoT data and prepare it for data analytics, plus to train and run machine-learning models. They also assist in creating graphs, dashboards, and other simple-to-grasp layouts to visualize the information these models generate. Overall, IoT and Machine Learning are combined to provide high visibility and control of the wide range of devices connected to the Internet.

Solutions-How can we help you?

Futurists say ML (Machine Learning) and the Internet of Things (IoT) will transform business profoundly than the digital and industrial revolutions combined.

Are there some kinds of risks? Yes, as with any new technology, we have to accept both the profit and risks that come with mainstream adoption. We can do this with the confidence only when these technologies are tested against several odds.

One of the innovative solutions for seamless operation flow is IoT testing. There will be several other types of testing which require to be considered to cover the comprehensive functionality of IoT devices.

As part of ImpactQA’s Advisory Services, we also provide an implementation plan to help our clients improve time-to-market while keeping their business goals in mind. We use our assessment frameworks (like Chatbot testing framework, RPA Testing framework, etc.), based on industry best standards, focusing on processes, tools, and infrastructure.

Collaborate with our specialists to improve all QA areas – people, processes, tools, and infrastructure across the delivery life-cycle.

Learn More

Cloud Computing Trends to Craft in 2019

Ever since its inception in 2000, the Cloud computing has been a buzz topic in the business world and has also proved itself to be the cherry on the cake in terms of digital data processing & storage. Cloud computing is now no longer just a tool, it has advanced as a scalable service offering [...]Learn More