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ImpactQA is Carving out a Niche at GoodFirms Through Its Robust Software Testing Services

Providing a full suite of manual and automated functional testing services performed throughout the Software Development Life Cycle endows ImpactQA amongst the top software testing companies in the USA.

Overview of the Company

ImpactQA is a preeminent QA Consultant and Software Testing company founded by Jyoti Prasad Bhatt in 2011. It is based in New York and has operations in New Delhi, Dallas, and London. The CEO always had an intense curiosity about technology that inspired him to begin his own company. Jyoti Prasad, along with other Innovators, from tiny to gargantuan, creates impeccable digital experiences by working together to attain a common goal. The team at ImpactQA holds a diverse client base of 250+ satisfied customers, ranging from nurturing startups to Fortune 500 companies. Having years of experience, the team has successfully developed the business across different testing domains, viz automation testing, performance testing, IoT testing, mobile app testing, cloud testing, security testing, Devops testing, and AI testing. Highly expert QA technicians using smart tools, global delivery methodology, and customer-centric approach is what makes ImpactQA the first preference of the clients.

GoodFirms’ Research Process:

GoodFirms is one of the pioneer research and review platforms that evaluate different B2B businesses for making the tasks of the service-seekers easy and effective. The evaluation process is based on significant criteria – Quality, Reliability, and Ability. Similarly, the GoodFirms team also evaluated ImpactQA and asserted it to be one of the top software testing, QA testing, and performance testing companies at GoodFirms.

The following is the evaluation report of the ImpactQA made by the GoodFirms team:

Proven Package of Testing Services for Delivering Flawless System Functionality:

At ImpactQA, the expert testers’ team, through the persuasive techniques and high-class tools, is pushing the conventional standard of quality assurance to produce an unmatched deliverable. The experts are always ready to do their best to make the product bug-free. Moreover, the experts try to brainstorm the technical solutions with the customer-oriented strategy, and with an excellent approach, help organizations in flourishing an ever-advancing market.

Furthermore, the skilled and adept team has an extensive work background in end-to-end testing strategy and unbiased quality assurance services. The automation frameworks, techniques, requirements, tools, and accelerators support used by the professionals provide significant value to the clients’ business. Serving as an extendable to clients’ organization, the team offers knowledge, expertise, intelligence, market insights, and productivity to lower their quality costs and elevate the quality of IT solutions. Thus, providing high-quality and cost-effective onshore and offshore QA solutions endows ImpactQA amongst the top software testing companies in the USA at GoodFirms.

The below review and scorecard are proving the potential of the testers at ImpactQA:

Review:

Scorecard:

Powerful and Pervasive Testing Ecosystem to Deliver the Best of QA:

ImpactQA helps the clients to focus on writing code and reduce development time by surfacing bugs and defects that no one could envision. The team performs end-to-end testing: functional, usability, security, database testing, cross-platform, cross-browser, accessibility, etc. Moreover, the testers try to give clients complete transparency for everything they do in the scope of their project. Seamlessly integrating with clients’ business and development processes, the QA’s at

ImpactQA ensures clients’ full access to the testing progress of their software. Besides this, the QA team also understands that it is highly important for clients to know how the team is progressing with the testing tasks and whether their progress aligns with clients’ business goals. The dedicated QA Experts employ top testing tools to provide penetration and vulnerability testing to the clients who seek to exclude vulnerabilities before the software is deployed or bought. The team always outlines the most essential QA KPIs and keeps clients’ informed about their status. Thus, with an advanced proven testing approach, the team at ImpactQA burgeons amongst the top QA testing companies at GoodFirms.

Ensuring High Responsiveness with Load Testing and Performance Testing Tool:

Performance testing is essential since it endorses the system’s intelligence to work efficiently under both high and normal load conditions. The team at ImpactQA is a leading performance testing company with robust professional valor and can ensure the smooth functioning of clients’ business. The goal of performance testing is not to detect bugs, but to reduce performance-related bottlenecks that can affect the usability of a software product. This testing method includes evaluating software applications to guarantee they will perform well under real-world circumstances.

The expert professionals test the scalability, endurance, and speed of clients’ software applications under a precise workload and assure high-quality performance. Apart from locating out how fast some perspectives of a system perform under workload, performance testing is also employed to confirm whether the developed system suffices the performance criterion. Thus, testing an application’s performance in terms of its ability to measure attributes with total accuracy facilitates ImpactQA as one of the top performance testing companies at GoodFirms.

The below-displayed review is confirming the performance of the testers at ImpactQA.

About GoodFirms

Washington, D.C. based GoodFirms is a maverick B2B research and reviews company that helps in finding software testing, QA testing, and performance testing agencies rendering the best services to its customers. GoodFirms’ extensive research process ranks the companies, boosts their online reputation and helps service seekers pick the right technology partner that meets their business needs.

About the Author

Anna Stark is presently working as a Content Writer with GoodFirms – Washington D.C. based B2B Research Company, which bridges the gap between service seekers and service providers. Anna’s current role lingers to shape every company’s performance and critical attributes into words. She firmly believes in the magic of words and equips new strategies that work, always in with ideas, something new to carve, and something original to decorate the firm’s identity.

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Top 8 Technological Trends Transforming QA Testing in 2020

The market for IT products at the global level has been revolutionizing with the involvement of thousands of innovative tech enterprises. To implement newer technological trends, software testing is highly essential, especially, when it comes to the development process. It is primarily through software testing we get to validate the quality of an IT product, thereby, managing fast releases.

Currently, the field of quality assurance testing is mainly concerned with the incorporation of different approaches to QA methodologies and testing, which is expected to get more demanding in 2020. Such a situation is likely to arise as a result of a higher appeal for the IT space involving diverse industries.

These days, most enterprises are focused on fulfilling customer needs, product creation under well-defined terms and receiving faster ROI. Therefore, structuring useful test strategies, implementing upgraded software testing techniques and possessing multifaceted performance testing programs are marked as crucial facets within the QA testing market in the coming years. 

 

 

 

 

To understand the technological shift within the QA testing arena, let us discuss the major trends likely to receive prominence in 2020.

 

1. Big Data Testing

Shortly, Big Data is projected to become a vital component, thereby, impacting almost all business sectors. Large volumes of data are managed across global companies that cover useful information. Quality assurance concerning big data activities will gain higher prominence in 2020. In simple words, effective data investigation and QA solutions would prove effective in helping businesses make better decisions and execute booming marketing strategies.

 

Also Read: How Big Data can be leveraged in all aspects of Testing?

 

2. Automation Testing

The range of automated testing operations across the industrial setup is fairly restricted (~20%). Hence, there is a greater scope of enforcing automated test cases by companies. With repetitive tasks brought in action, we can cover a bigger testing array without much hindrance. Automated testing is highly effective and quick, thereby, safeguarding the quality of the product or service.

 

 

3. Mobile Testing

The role of mobile applications in our lives is soon going to escalate in the coming years. Testing a wider range of devices, operating systems and platforms is seen as a vital step for any mobile QA process. Also, the launch of hundreds of newer mobile devices involving advanced technologies will enhance the scope of testing under real-life scenarios. Professionals will benefit through the incorporation of mobile testing as they get to examine the app’s loading time, performance and compatibility issues.

 

Must Read: 5 Mobile App Testing Trends Set to Surface in 2020

 

4. IoT Testing

In 2020, it is estimated that the count of connected devices will get doubled. The growing demand for smart solutions will require IoT testing methodologies at its best. For instance, diverse communication protocols, operating systems, building connection utilities, and other sophisticated tools would require attentive software testing. Among the topmost services associated with IoT testing, real-time investigation of different IoT gadgets and solutions will take the leading spot.

 

5. AI testing

Being one of the latest trends, Artificial Intelligence testing has proven to be an effective operation within the QA community. The purpose of AI testing is associated with improving test cases and QA frameworks. With the implementation of AI, testing professionals get to identify possible risks and further manage correction measures. In the past few years, AI testing has opened the door for newer opportunities that have motivated companies from the QA space to perform better. The introduction of intrinsic neural networks, together with speech and gesture recognition has transformed the world of testing all thanks to Artificial Intelligence.

 

 

6. Blockchain Testing

This is the era of cryptocurrencies be it Bitcoin, Ethereum or any other digital currency that is seen as a smarter way of investment in today’s time. The use of digital money has been readily agreed by numerous companies across the globe, leading to thousands of transactions happening each day. Blockchain testing is a systematic measure that permits the execution of smart contracts and streamlines financial operations in a quick and protected manner.

 

7. Usability Testing

It is a fact that low-ranked usability and design can negatively impact the user experience. This is a major scare of brand loyalty which should be immediately checked with the help of Usability Testing. The testing operation ensures the real user’s interaction with the product to manage direct input. Such a step is listed among the vital procedures concerned with app development.  

 

Also Read: Benefits of Usability Testing

 

8. Cybersecurity

When it comes to applications, safety analysis is the foremost step that needs to be abided. For instance, financial applications that control the user’s personal data do require timely updated advanced safety methods. The cyberspace is mostly susceptible to newer threats and risks; therefore, the solutions concerning the safety of users’ personal information needs to be structured wisely. The proliferation of security tests in 2020 is going to become an actual thing. With cybersecurity turning more complex and sophisticated, companies managing online services would strive harder to get their systems secured. 

 

QA Testing has reached its epitome of greatness as technological assistance has captured the global industrial dome. Looking at the above-mentioned trends and their horizons, it is surely going to benefit companies in offering quality IT products and services. For further information about extended trends influencing quality assurance, you can connect with experts at ImpactQA.

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What is the Impact of Artificial Intelligence on Software Testing?

The propagation of Artificial Intelligence (AI) as new technology has received worldwide recognition.  Although it’s not a new concept, the implementation of AI techniques across software testing has proven advantageous. It is interesting to know that, development teams across various platforms are switching to online and e-learning assets all thanks to AI.

However, the misery for QA Engineers at present is linked to surplus difficulties and time wastage while looking for a solution. The scope for making new additions or expanding existing new codes requires them to carry out fresh tests. It is a rigorous process and if planned manually, does overwhelm the QA experts.  

This is where the usefulness of an AI-based testing approach comes into play. Such an arrangement can help identify changed controls skillful in comparison to manual efforts. Furthermore, the identification of even the slightest alterations with the algorithms can be observed by including AI in the process.

This write-up aims to highlight the vitality of AI testing towards software testing and how it will provide supreme assistance in the coming years.

 

Also Read: How AI Adoption Actually Bang and Turn QA Expectations?

 

Importance of AI for Software Testing

 

The future is untold but technologies such as AI have already given us a positive outlook about what comes ahead. Artificial intelligence is praised as a smart addition to software testing, with future innovations expected to drop more surprises. Below mentioned are some of the notable effects of AI on software testing which should be learned and acknowledged. 

  • Regarding automation testing, the utilization of Artificial Intelligence is primarily associated with object application categorization fixated at all user interfaces. Under this, recognized controls get categorized when tools are created. Moreover, testers are equipped to pre-train controls which are usually available in out of the box arrangements.
  • We already know testing simply means the confirmation of results; hence, one does require possession of surplus test data. As a modern concept, Google DeepMind has an AI program that is structured across deep reinforcement learning efficient enough to play video games by itself. Such an action permits the acquisition of sufficient test data.
  • In the coming years, Artificial Intelligence is likely to monitor users who perform exploratory testing contained within the testing site. This also covers human involvement for assessing and spotting the applications which are getting tested. Consecutively, such a step will attract business users to actively implement testing and customers would be given the chance to fully automate test cases.
  • Risk automation helps users in specifying which tests should be imposed to achieve greater coverage under limited time. As AI testing is added to the test build, execution, and data analysis, it permits testers to permanently get rid of spot links flanked by bugs and components in a much better way.

 

AI Testing & Related Advantages  

Finally, we mention some of the prominent benefits of AI testing which makes it a bonus inclusion for software testing:

 

1. Fastens Manual Testing

It is a well aware fact that countless test lines are coded even by the most skilled application development companies.  Manual testing is not that efficient in maintaining speedy processing even after all efforts are put in place. Above all, functional testing tends to be expensive, thereby, consuming additional time and money.

The incorporation of AI testing is known to facilitate and address time-wasting issues. As a result, developers are relaxed when it comes to writing all scripts and investigating large chunks of data sets since they are now managed in a faster manner. Artificial intelligence is capable of sorting via log files, thereby, saves precious time and improvises programming accuracy.

 

2. Assistance to Developers and Testers

The usefulness of shared automated tests can be reaped by developers for identifying problems before passing it on to QA. To be precise, tests can be executed automatically every time the source code variations are checked in. This also functions as an effective move to notify the team in case of a failure.

 

Also Read: 5 Ways AI is Shaping the Future of Software Testing

 

3. Enhanced Time-to-Market

Software tests are repeated whenever the source code is altered. It should be understood that manually repeating such tests is indeed time-consuming and can also prove highly expensive. However, automated tests can be operated multiple times without any additional cost and at a quicker pace.

Some of the AI-based test automation tools include Appvance, Testim.io, etc.

 

4. Advanced Test Coverage

As AI is merged with automated testing, it works to enhance the overall depth and scope of tests. Automated software testing can easily access memory, file contents, data tables, etc., for determining the working status of the software. On the whole, test automation is capable of carrying out 1000+ test cases related to each test run offering coverage that isn’t doable with manual tests.

The potency of AI testing and its collaborative actions under software testing is very well defined in this blog. As the testing arena is gaining strength and skill in this modern setup, the superiority of AI-based software testing operations will achieve a greater position in the near future. If you hold any queries related to the expanse of AI testing services, simply connect with testing experts at ImpactQA.

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5 Mobile App Testing Trends Set to Surface in 2020

The role of mobile apps in the currently thriving modernized setup has acquired an imperative stature. It is primarily to enhance the scale of convenience both at the consumer and enterprise-level that mobile apps have grown to become a major hit!

For the success of any software or application, there are different types of mobile app testing. App quality is the foremost factor that predicts the success and sustenance of a particular mobile application. Over the years, mobile app testing trends have shown serious variations. The sole reason for this shift can be attributed to the rising count of mobile devices, thereby, supporting enormous disintegration in terms of screen sizes, OS, etc.

Furthermore, it becomes essential for a mobile app testing company to adapt to new features and restrict threats linked to new bugs. According to recently updated research, the global market for mobile app testing services is anticipated to exhibit USD 13585.73 Million by 2026. These are mind-boggling statistics highlighting the importance of mobile app testing in today’s time with an expected CAGR growth of 20.3 % by 2026-end.

A new decade has initiated to bring in new technological trends in the world of mobile app testing. Let us focus on the five prominent mobile app testing trends set to unfurl in the year 2020.

 

Automation is the Key

Automation has taken over the global mobile app testing market. In 2020, it is expected that the majority of the testing companies will actively stride towards automation which functions as a prominent factor towards quality assurance. In addition, the selection of automation tools and frameworks is known to lessen testing time. There are several benefits of test automation and because of such advantages it is likely to benefit the mobile app testing market with soaring results.

 

Spotlight on IoT

These days, you will find that most devices are linked to each other, thereby, preaching comfort as the fundamental aspect. For instance, mobile devices are now connected to headphones, smartwatches, home accessories, etc. This overall concept is termed as the Internet of Things or IoT. Although the incorporation of IoT does exhibit convenience, security threats are rising on IoT since devices are getting more complex.

In 2020, it is expected that a mobile app testing company would be able to access more sophisticated technology. In simple terms, the IoT testing process will involve not just mobile phones but several other hybrid devices for quality assurance.

 

Testing with Real Device Cloud

As per research insights, close to 1.5 billion smartphones will be operative in 2020 having different screen resolutions, OS versions and more. It is practically impossible to test a particular mobile app on all devices which are used by the customers. As a valid solution, incorporating a real device cloud is the perfect way to enhance testing efficiency. For the current year, the favorable strategy implied for mobile app testing is concentrated at amalgamating the use of real devices with cloud technology.

Such an arrangement will pinpoint evident performance defects. Moreover, the chances of having forged positives or negatives are also decreased. Among the latest mobile app testing trends, the deployment of real device cloud is highly efficient since it targets everything, be it network failures, hardware issues, etc.

The future holds untapped mystery, especially when it comes to technology and its wonders. As the year passes, it is believed that Artificial Intelligence (AI) and Open Source Tools will surely share a significant role in accelerating the mobile app testing market.

 

AI Testing

The popularity of Artificial Intelligence as a growing technology has brought major changes within the software research arena. It is observed that the implementation of machine learning and artificial intelligence over the testing platform can prove fruitful. For instance, the AI testing algorithms can be useful in creating better test cases, scripts, reports and data to receive efficient outcomes.

The usefulness of AI testing can also be highlighted while designing test models to determine errors and loopholes effective for mobile app development. With the power of smart visualization and analytics, AI is extremely serviceable to search and rectify defects without much hassle.

 

Propagation of Agile and DevOps

The reputation of Agile has escalated in the market since organizations are switching towards rapid changes. Moreover, the collaboration of DevOps for accomplishing speed requirements is another factor that is expected to rocket in the near future. It is expected that DevOps will implement the rules and practices together to set out operations and development processes on mobile apps.

It is a major advantage of testing with DevOps and Agile for creating better mobile apps. Quality and speed are the foremost factors that are meticulously assessed with this productive association.

It is essential to take a look at all 5 mobile app testing trends set to rise in 2020. This allows us to polish and improvise mobile testing methodologies for the future. For additional information and insights, you can connect with professional software testing company, ImpactQA.

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Why do we need a framework for Automation Testing?

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5 Best Automation Testing Tools for 2019

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Significance of Automation Testing Over Manual Testing

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Moving from Selenium to Protractor for Test Automation

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What are the top misconceptions and myths about TDD?

Test Driven Development (TDD) means “Test Driven Development” which is also referred to as test-driven design is a primarily-accepted and broadly acknowledged methodology in the field of software development. It has become well-liked over the last few decades. The primary goal of TDD is to make the code simple, clear, and bug-free. It typically relies […]

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