Decades of Leadership in the Software Testing Industry

AscentialTest has been forming in the minds of our founders for several years. After building QA Partner/SilkTest at Segue Software in the 90s, they got the opportunity to use their product extensively in the field. As consultants implementing test automation with various tools for more than 10 years, they’ve formed a thorough assessment of the state of the field. What they found surprised them: automated tests were too expensive to build.

Furthermore, the requirement for programming skills to move beyond the superficial tests that can be recorded left out too many members of the team. They also discovered that a large portion of test development time is spent ‘writing code’ to workaround object recognition deficiencies. Some users estimate that time to approach 80%. Clearly this explains why the decision to adopt automation is not always straightforward. With a fresh understanding of the challenges and our heads full of ideas, we’re energized and excited to bring about the next paradigm shift in test automation.

Brian has been working in the field of test automation for more than 30 years. Brian began as a QA Engineer using the testing tools available in the early 1980’s. He joined Segue Software in its infancy and served as the EVP of R&D during that company’s golden years. Brian formed Star Quality, a consulting firm specializing in test automation in the late 90s. After 12 years of experience in the trenches, he’s excited to be building the next generation testing tool that will increase the productivity and and effectiveness of test and development teams.

Dave is a pioneer in the field of automated testing. Dave developed ATF, one of the first automation tools, more than 20 yeas ago. He was a founder and Chief Architect of Segue Software, Inc., the original creators of QA Partner/SilkTest. Dave believes that no testing tool can be easy to use without a solid foundation. That’s why he is committed to providing AscentialTest’s universal agent with the most powerful object recognition engine in the industry.

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Upcoming Webinar

Building Reusable Verification Tests

Tue, Jun 25, 2024 10:00 AM - 11:00 AM EDT

The participant will learn:
* How indirection and dynamic instantiation are used to build generic test steps
* How to create universal verification steps and functions
* About built-in functions that provide information about the current state of the target application
* How metadata can be used to set object-related test data
* How to create a test that walks the main menu of an application, opening and closing each dialog

See How We Achieved an 83% Five Star Rating on Gartner

See how AscentialTest compares to the competition, using 18 key features and functions and across 14 different development platforms

  • Supported Platforms (14)
  • Integrated Test Planning
  • Object Recognition
  • Object Repository
  • Test Frameworks
  • Foreign Language UX
  • Drag Generations of Actions
  • Reusable Steps
  • Scripting
  • Manual Testing
  • Parallel Execution
  • Integrated Defect Tracking
  • Test Localization
  • Test Portability
  • Test Management
  • Test Execution Management
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U. of Minnesota Case Study

Philips Significantly Reduces the Cost of Test Automation
Philips is a leading health technology company focused on improving people’s health and enabling better outcomes across the health continuum from healthy living and prevention, to diagnosis, treatment and home care. Philips leverages advanced technology and deep clinical and consumer insights to deliver integrated solutions. Headquartered in the Netherlands, the company is a leader in diagnostic imaging, image-guided therapy, patient monitoring and health informatics, as well as in consumer health and home care.
Client Contact: Vinay Krishnamurthy – Analytics Manager
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Executive Summary:

Philips selected AscentialTest for test automation of PACS, a software platform for accessing a patient’s radiological history, including diagnostic reports, exam notes, clinical history and images. The test team developed a set of cross-platform tests running on both thick and thin clients, saving a significant amount of time and effort as compared with previous testing tool solutions. With AscentialTest, Philips was able to:

  • Normalize thick and thin PACS clients using object recognition capability so that one set of tests can be executed across three platforms, localized in 6 different languages.
  • Eliminate the need for a testing framework, which in the past had taken 6 to 8 months to build and stabilize.
  • Increase the number of tests that could be automated by 15% because of image and text recognition features.
  • Reduce the average time to automate a test scenario from 6 days to 2 1/2 to 3 1/2 days. Reduce test execution time by 50%.
  • Achieve maintenance goal of 5% of test creation time.

Client Objective:

When Vinay Krishnamurthy of Philips was tasked with developing a testing solution for PACS, he faced a number of technical challenges. The target application is deployed in three different versions to meet the needs of various types of end users. The GUI is a mixture of MFC and web controls, deployed as both thick and thin clients. These versions are then translated into 6 different languages for localized markets. Test verification requires a lot of comparison of images, along with text that is drawn upon those images to report measurements and other attributes of the scans.

Developing a separate set of test for each of the deployed versions of PACS was cost prohibitive and the organization wanted to avoid building a testing framework, which in past projects had taken 6 to 8 months to build and stabilize with existing commercial and open source tools. They were also concerned about the huge maintenance costs that they had experienced.

Furthermore, with more than 8000 tests to automate Philips wanted a scriptless solution, but had learned from experience that a record-playback tool would not provide the robustness that was required.

Our Approach:

Philips selected AscentialTest because they recognized the potential for designing a solution that could be used across platforms. Using AscentialTest’s drag and drop interface, the team uses snapshots to create object definitions that are recognized across all three platforms. They benefit from an array of options for defining objects that were difficult to recognize with other testing tools that they evaluated. Philips heavily relies on the ‘RenderText’ and ‘RenderImage’ capabilities of AscentialTest. ‘RenderText’ allows them to validate text that is drawn on scanned images. In the past, tests that require verification of that text had to be completed by manual testers. Vinay estimates that the team can automate 15% more tests because of this text recognition feature. Likewise, ‘RenderImage’ has allowed for the recognition of images for both navigation and verification of tests.

Because of the image-centric domain of PACS, Philips requires very sophisticated image ‘capture and compare’ capability. Zeenyx worked closely with Philips to enhance the existing image verification capabilities of AscentialTest. Several features were added to provide the ability to more specifically focus on the ‘area of interest’, apply masks, and tolerate for pixel and color differences.

Philips also cites AscentialTest data options as a critical component to allow the tests to be shared across platforms. By making use of ‘Project Data’, ‘Plan Data’, and ‘Attributes’, Philips is able to easily change key pieces of test configuration data in a single location to launch tests against different versions of PACS in the various test environments.

Vinay explains that the team creates two files for each page in the target application, one with the object definitions and a second with a meta-layer of steps for driving and verifying the application. Test developers use those components to build the automated tests via drag and drop.

Vinay says that the pace of automation has increased because of the reusable nature of the test components. As the more objects and steps are created, the time required to build new tests continues to decrease.

The bulk of the tests that the team has created to date are used for their ‘Smoke’ and ‘Regression’ tests runs. Recently they created a ‘Sanity’ test comprised of a handful of tests that were ‘ported’ to test six localized versions of PACS, created for different language markets. The team was surprised that it took only two days to port a test to all six languages using AscentialTest’s ‘Translate’ feature.

Results Delivered:

Philips has been able to exceed their goal of reducing the time and cost of developing automated tests by 50%. Using AscentialTest, they have reduced the average time to build an automated test scenario from 6 to 2 ½ to 3 ½ days. They have also been able to cut execution time in half. The automation team has integrated AscentialTest with TFS to launch tests and have taken advantage of a recent AscentialTest feature where ‘failed’ tests can be easily selected and rerun without user intervention.

Philips credits the support that they received from both Zeenyx and MatryxSoft, their local distributor, for their success with AscentialTest. We are happy to have exceeded their expectations for response time for fixes and enhancement requests.

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What We Are Up To Next

TFS/Azure Integration

Check our new Azure extension for executing AscentialTest command lines in the Azure Marketplace.

We look forward to offering additional integration with Microsoft’s Team Foundation Server and Azure through defect tracking and version control soon.

Omnis Studio

Automated testing support for OMNIS Studio is coming soon. All OMNIS elements will be supported including complex grids, list boxes, tables and tree views.

Custom Objects

Add automated testing support easily for your custom application elements by responding to simple test API messages with json strings. This feature will open up the possibility of testing any GUI element and  will be offered free of charge.

Test Debugger

Set breakpoints in your automated tests, view global and local variables and execute statements to make it easier to debug tests running on any of our supported platforms.

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