Digital Transformation
Digital Transformation

A Research Report by Infostretch

The Impact of Digital Transformation on Testing & QA

A 2018 Infostretch Report

The New Digital Era Requires Increased
Speed and Agility in Testing & QA

For organizations that see digital driving their future, test/QA organizations play an increasingly critical role in their success. The ability to support the demand for faster cycle times and higher service levels is essential in every aspect.

Infostretch has observed that by making this shift successfully, enterprises can improve employee productivity, open up new revenue channels, enhance customer service and engagement, and distinguish themselves from their competition – all while reducing their operational costs in development and QA.

Infostretch Has Also Noticed That Companies that Couldn’t Make This Shift Faced Increasing Operating Expenses and Were Unable to Deliver Quality Products Quickly to Market

Digital has pushed the boundaries of application development and delivery teams to adopt Agile and DevOps principles. This trend has drastically shifted the role of testing and QA.

Therefore, in late 2017, Infostretch surveyed QA and test professionals and executives in the US and UK about the impact of digital transformation on their enterprise software testing/QA efforts. The results shed light on some of the key challenges and opportunities organizations face as they re-think their approach to QA to meet new market demands. Several key themes emerged:

Test backlogs a hindrance

Test backlogs a hindrance

A large portion of testing today is still manual and highly dependent on factors such as skilled resources, infrastructure, and tools, etc. To accelerate release cycles, enterprises need to automate the huge backlogs of test cases. This is difficult without the proper resources and tools in place.

Testing complexity is increasing

Testing complexity is increasing

New apps and services have to be developed for multiple platforms, devices, operating systems, and geographies. Increasing connectivity multiplies this complexity.

Intelligent QA is here

Intelligent QA is here

There is keen interest in leveraging continuous monitoring, predictive analytics, and machine learning tools to further accelerate software testing and provide inputs to test strategy.

Automation coverage is still low

Automation coverage is still low

Manual testing processes can only cover so many different use case scenarios. Automation Is starting to fill the gap for some QA teams, but there is still a big opportunity for improvement.

Productivity pressures are prevalent

As demand increases, test/QA teams need to be more productive and responsive. There is less time to properly define test requirements.

User feedback is still challenging

User feedback is still challenging

It’s difficult to incorporate it within tight time frames – especially when applications are brand new to market.

Change is Inevitable as Digital Transformation Puts
More Pressure on Software Delivery Teams

With the evolution of digital, which of the following factors are becoming inevitable for QA teams?

Digital Transformation
Test/QA teams can adjust by:
  1. 1 Leveraging cloud-based testing labs like Perfecto Continuous Quality Lab to help manage the increasing number of devices, operating systems and form factors that need to be tested to assure a great user experience. Solutions like this can also replicate system interconnectivity that is becoming such an integral part of the digital landscape.
  2. 2 Adopting continuous testing and automation approaches to enable faster feedback cycles for development teams.
  3. 3 Incorporating intelligent testing solutions like Infostretch ASTUTE that leverage advanced machine learning techniques to optimize every aspect of the testing cycle from discovery to maintenance.

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Priorities are Shifting for Test and QA Teams

How is digital transformation shifting priorities of QA organizations?

digital transformation
  1. 1 More companies are adopting best practices for DevOps and Agile environments such as continuous integration and continuous delivery (CI/CD) processes that integrate dev/test efforts to compress cycle time and increase ROI.
  2. 2 They are also looking at artificial intelligence and machine learning algorithms for predictive and prescriptive analytics – to not only help anticipate defects early, but also provide appropriate recommendations against those defects to speed cycle time and improve quality.
  3. 3 There is a renewed focus on streamlining both operational and infrastructure costs in test/QA leading to greater interest in cloud-based testing services.
  4. 4 The ability to effectively test new IoT and smart devices has also gained in importance. As the IoT ecosystem grows, so do the number of unique combinations of use cases against devices, operating systems and other conditions. This not only reinforces the need for a well thought out development strategy, it also makes testing and QA more complex.

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Infrastructure and Configuration as Code come to the CI/CD rescue

As DevOps Gains Adoption, QA is “Shifting Left” in the Software Development Lifecycle – and Being More Closely Integrated with Development

With increasing DevOps adoption, how do you see the role of QA changing on the software development lifecycle?


2/3rd of respondents see testing becoming an integral part of development in their organizations.

This “shift left” approach enables QA teams to find bugs and defects sooner and development teams to fix them more quickly and less expensively – before they impact a customer.

This model ensures quality throughout the entire software development lifecycle, reducing costs, accelerating release cycles, and increasing customer satisfaction.

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Shift Left Best Practices to Keep
Pace in Digital

New Jenkins plugin tackles DevOps
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These Shifts are Creating New Challenges for Test/QA Organizations, and Exacerbating Existing Ones

What are some of the major QA challenges of your organization?

Test/QA Organizations
  1. 1 Insufficient time to test new applications and services forces difficult decisions about how to prioritize test resources and increases the risk for poor service quality and negative impact on brand reputation.
  2. 2 Increased complexity created by an increasing number of technological combinations and a lack of new devices to test on makes it even more difficult for test/QA teams to keep up with the accelerated pace of development. As a result, delivery teams are unable to take full advantage of gains from DevOps and Agile initiatives.
  1. 3 Putting the right people and processes in place to enable implementation of best practices has become increasingly difficult as demand for digital skills intensifies. Many organizations are looking to third party experts to extend their existing capabilities and to help put the infrastructure in place to meet their future digital needs.
  2. 4 Finding and accessing the right set of tools to support their testing efforts is also challenging delivery teams. This is another area outside experts can help – finding the right solution to fit the organization’s existing infrastructure and skill set along with its future plans.

More Information

Quality Assurance to Quality Engineering: A Must Cross Chasm

Test Automation is Critical and QA Organizations are Increasing Their Use, But More Progress is Needed for Enterprises to Meet the New Demands of Digital

What percentage of your testing efforts are automated?

Test Automation

Enterprise progress in automating software testing efforts varies, but the majority have automated less than 25%.

As business demands put more pressure on organizations to speed cycle time for new digital services, enterprises must embrace automation more than ever before.

This facilitates the organization’s ability to:

  1. 1 Unify the testing of web, mobile and native apps and services
  2. 2 Adopt a feedback-driven approach to identify user issues early in the cycle
  3. 3 Support continuous integration/delivery processes

Yet, the reality is that most organizations still have a huge backlog of manual test cases that need to be automated before they can move forward. This is difficult without the proper resources and tools in place.

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Software Code Release Frequency Continues to Accelerate, but There are Still Some Laggards

What is the frequency of your releases?

software code release

Over 20% of respondents are releasing new code weekly, and the majority (40%) currently managing to a monthly release schedule. Less than 20% are still on a quarterly release schedule.

To accelerate cycle time, delivery teams need to address multiple areas:

  1. 1 QA teams need to start test execution early in the project development lifecycle.
  2. 2 Development team needs to prioritize feedback from the QA team based on the product requirements as well as issue severity. And then make team resources available to act on those priorities and resolve them.
  1. 3 Both development and test/QA need to commit to allocate or free up enough resources to provide the feedback as well as to act on the feedback provided within the stipulated amount of resolution period.
  2. 4 Automation is also critical to accomplishing these things – from deployment of virtual services, to installation of the latest build.

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Companies are Leveraging a Variety of QA Processes and Best Practices to Accelerate Their Software Delivery Efforts

Which of the following QA principals are you currently using?

QA processes best practices

The most common cited in the survey were integrating automation with CI/CD pipelines, risk-based testing, in-sprint automation, and behavior-driven/test-driven development.

In addition, we see organizations implementing a variety of other strategies to accelerate their software development lifecycles and meet the new demands of digital. These include:

  1. 1 Refocusing their QA efforts from testing features and functions to evaluating customer experience and business assurance.
  2. 2 Expanding their testing teams’ skills beyond manual and test automation to end-to-end quality engineering.
  3. 3 Using proven Agile and DevOps practices to break down silos.
  4. 4 Prioritizing testing with predictive quality analytics and continuous monitoring and feedback.
  5. 5 Leveraging on-demand testing environments to increase their agility.

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Continuous Integration Accelerates Time to Market

What are your preferred testing tools?

Testing Tools
Testing Tools

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Digital Demands a Wide Range of Testing Skills, But Organizations are Finding Certain Skillsets Very Difficult to Find

The most difficult skills to find are:


QA in DevOps and Agile environments


Newer test automation skills


Optimizing test environments


Intelligence-driven QA

Certain skillsets such as test automation and QE process experience have become mandatory when hiring while manual testing and functional domain expertise have become less relevant.

As companies get up to speed on Agile and DevOps, they are starting to turn their attention to predictive analytics and machine learning. We see a lot of demand for this skillset as companies look to see how they can leverage these technologies to further accelerate their automation efforts.

Digital assurance demands a wide range of testing skills. In which areas is finding the right skillset a challenge?

digital assurance demands

When hiring for your testing teams, what are the mandatory skills you are looking for?

digital assurance demands

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AI and Machine Learning to
Optimize Software Testing

Predictive and Prescriptive QA Services
Streamline Test Automation

Digital Demands a Different Approach
Is Your Organization Keeping Pace?

Digital requires all businesses to move faster and more flexibly than ever before in software delivery – without sacrificing quality. This requires integrating the efforts of their Dev and QA teams and automating manual processes wherever possible.

Infostretch is a digital-first professional services firm. We help enterprises get digital right the first time with proven methodologies, tools and infrastructure enable companies to transform their test and QA efforts to meet the demands of digital. These include best practices in Agile testing, continuous integration and test-driven development and industry-leading products and tools that help clients improve service quality and speed time to market while reducing their operational costs.

We also provide intelligent automation services which encompass testing BOTs that help accelerate automation of backlogs. These services leverage AI and Machine Learning concepts and testing best practices to optimize test cases and take advantage of test data.

We Deploy the Right Blend of Resources to Complement Your Existing Team and Leverage Existing Tools and Resources Where Appropriate. This Ensures Optimal Impact and ROI

Infostretch Approach Infostretch Approach

  1. Reusable frameworks and easy-to-use automation tools that abstract complexity
  2. Continuous integration, (Acceptance) test-driven development (ATDD), in-sprint automation
  3. Business-driven development and testing concepts for plain language scripting
  4. Cloud scalability to address unique test environment and test data challenges
  5. Test frameworks that support test cases spanning GUI/WEB/ Services
  6. AI and machine learning-powered test automation services
  7. Advanced test reporting and trend analysis

Customer Benefits Customer Benefits

  1. Easier deployment, less risk and shorter cycle times
  2. Access to the latest technologies and best practices
  3. Faster, broader market coverage – device, OS, geographies
  4. Improved testing quality; higher service levels
  5. Faster problem resolution
  6. Increased user confidence and adoption
  7. Substantial time and resource efficiencies
  8. Intelligent decision making

See How Your Organization Measures up Against
Industry Best Practices

Advance your Quality Engineering efforts with our free comprehensive evaluation

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