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Web applications are different from mobile applications and other software. A web app is like a website but behaves like an app. These apps are designed to run on web browsers and are light and function at a much higher speed and consistency when compared to the standard website. With the changing face of software testing – where there is the need for faster testing – calls for the implementation of automation. While there are quite a few good web test automation tools designed for the purpose – like QARA Enterprise, Katalon Studio and Watir – a good tool alone is not enough to get the best results out of the automated process of testing.

To ensure that the web test automation process yields the best results, it is recommended that QA teams follow the best practices. The best practices cover everything from testing for compatibility across different browsers, performance of applications, user experience, data security, and more. The best practices are designed to help QA teams get reliable and accurate results every time.

1] Giving Priority to Cross Browser Compatibility

Today people access websites and web applications from not one but an array of web browsers and their versions. To ensure that this does not come in the way of providing a superior user experience to every user, it is very important to ensure that the web application runs without any bugs or glitches on every web browser, as well as their multiple versions. Also, responsiveness across browsers is another issue that QA teams must take care of when conducting web test automation. A tool like QARA Enterprise that supports testing across multiple browsers can be used to get started with web application testing.

2] Understanding the Importance for Load Testing

While testing across multiple browsers and platforms is one thing that is very important, one should not also forget the importance of ensuring that the web application gives the best performance even under heavy loads. This calls for load testing which ensures there are no faults in the application code that results in its crashing under heavy loads. Load testing ensures that there are no glitches in the app that will lead to it crashing unexpectedly under very heavy loads.

3] Conducting Usability Testing with the Right Set of Parameters

Once the performance of the application is tested for under different browsers as well as different conditions of load, next comes usability testing, which is all about testing the application from the end users’ perspective. Usability testing is very important to ensure users like to spend more time on the app and perform various actions. There are quite a few different parameters defined for usability testing, such as the UI, intuitive design, navigation, font size and font type and so on, and ideally web test automation should focus on it.

4] Giving High Priority to Security Testing

Security testing is the most important aspect when testing any app and web test automation should focus on testing the app for vulnerabilities that can be exploited for data breaches and unauthorized access to sensitive information. Since data breaches can cause huge losses to organizations and the repercussions can be truly scary, the best thing is to focus on thorough security testing, so that no flaws in the web app go unnoticed before the app reaches the users.

That was about the key best practices to take note of when performing web test automation. Taking care of these points can go a long way in ensuring that the web app undergoes a thorough testing process and is ready to be launched to the users, who then use the app and like its smooth performance.

Enterprises need to be strategic about their overall approach if they want to digitally transform. Digital transformation solutions are all about having the correct strategy to improve an existing business or rejuvenate a dying one.

Digital transformation for enterprises is not new. They have been doing it for a long time. However, in the 21st century, with so many digital start-ups sprouting everywhere, it is imperative for enterprises to adapt to the new wave of technologies and processes to stay relevant.

Enterprises are uncertain about what the future holds for them. A recent survey of over 3500 business leaders from across the world, shed light on the crux of the uncertainty that enterprises face. 45% of them feel that their organization may become outdated in the next five years. And about the same percentage of them aren’t sure how their industry will look like in five years. Almost all of them are threatened by the plethora of digital start-ups that are sprouting up every few months. They are fighting eagerly to stay relevant in their own industry.

The fact that over 55% of enterprises across the world are looking to digitally transform is proof enough that enterprises need a solution. To further the need for a solution for enterprises to digitally transform, here are a few trends that are expected to help enterprises in the coming years :

Internet of Things (IoT)
(IoT) Internet of Things solutions can be tricky. This is possible because there are many definitions for IoT. However, IoT can be defined as the concept of connecting devices to the internet and with each other. Although it may sound simple, in reality, it isn’t!

Given this connection between devices and the people using them, IoT devices are expected to become the norm in the future. Enterprises should capitalize on this trend and improve their foothold in their industry.

With the increase in IoT devices, there will always be a security risk. Enterprises should not overlook this and must take the necessary steps to safeguard themselves from any security risks.

Nevertheless, IoT isn’t expected to slow down any time soon, making it a crucial solution for enterprises that are looking to digitally transform.

Artificial Intelligence
For many people, the words artificial intelligence mean a robot apocalypse. But realistically, AI plays a pivotal role in simplifying processes for enterprises.

If enterprises try to implement AI across their business – it would be catastrophic. It would be too much ocean to boil. They should use AI to solve specific challenges.

When AI is used to solve a specific challenge, the best solutions seem to emerge. However, when AI is applied to an entire enterprise, it often leads to disappointment.

Additionally, AI plays a pivotal role in simplifying data. In simple terms, it is the backbone for big data. Without AI, tracking data will become extremely difficult.

For example, many hospitals are using AI to improve patient care. They do this by designing personalized treatment plans based on patient health records, creating sophisticated medication management and adherence tools, etc.

Big Data
Digital technologies give businesses an innovative set of opportunities to create value. These opportunities arise as mobile, cloud, social media, and analytics change how end consumers and organizations interact.

Governments and enterprises are creating new customer experiences, improving services for citizens, delivering better outcomes while reducing costs, and increasing staff productivity.

Puzzled as to how this is possible?

This is the true essence of digital transformation. And this is only possible with big data.

Big data has easily been the buzzword for enterprises for decades. And with the advent of artificial intelligence, big data has donned a different avatar! Big data helps unlock digital customers, markets, and channels, it enables running a digital enterprise.

Mobile
Need we say more?

Mobile has been shaping the technology landscape for the last few years. However, for enterprises mobility adoption is essential to improve operational efficiency.

Native mobile apps development helps sales personnel in connecting with vendors, back-office personnel, partners, etc., which facilitates expediting tasks and real-time decision making. Sales personnel need information at their fingertips, mobile apps do just that! These apps, help in building lasting relationships with existing and potential partners and/or vendors and help in cutting down response time.

Mobile apps help in:

-Gaining a competitive advantage

-Eliminating the BYOD concerns

-Reducing IT spend

-Making the enterprise applications agile

-Improving customer service and delivery

As people spend more and more time on their mobile phones, enterprises should start looking at mobile as means to increase productivity. Higher engagement leads to more productivity and in turn leads to more business. It is imperative that enterprises improve their mobile collaboration capabilities to enable key decision-makers to make the right decisions. This also leads to a work-life balance and allows employees to be more productive during the day.

Security
Security is expected to change the way enterprises function. It will become embedded into the platform to support everything that businesses do. Enterprises will need end-to-end security infrastructure for the network, applications, and developers.

As the threat landscape expands, enterprises need a security solution that is comprehensive and robust. Measuring security effectiveness is necessary so that cyber-risks can be integrated into any enterprise risk assessment.

Conclusion
As digital technology is on the rise to global acceptance, the scope for brands, businesses, hospitals, and governments to interact and engage with their customers, citizens, and patients are boundless. Hence, enterprises should incorporate the above-mentioned trends and strategize for the upcoming years. These digital technology solutions will help them stay ahead of their competition.