Accelerating Delivery of New Treatments for Cancer Patients


This manufacturer of medical devices and software for life threatening diseases is automating the testing of key software pipelines to accelerate the delivery of important new services to physicians and patients around the globe.

The company develops, builds and delivers innovative cancer care technologies and solutions to its clinical partners around the globe to help them treat millions of patients each year. This includes the use of advanced technologies like artificial intelligence, machine learning and data analytics to enhance cancer treatment and expand access to care.

  • Millions of Patients Treated

    Millions of Patients Treated

  • 7,500+ Employees

    7,500+ Employees

  • Over 50 Locations

    Over 50 Locations

Business Goals
Faster cycle time for new
Faster cycle time for new
digital cancer care services

Reduced product defect rates
Reduced product
defect rates

Increased operating efficiencies
Increased operating

streamlining software testing
the challenge
streamlining software testing

Since its service offerings and operations became increasingly software-dependent and the demand and complexity of its software delivery accelerated, the company faced growing challenges in its software testing efforts, causing time-to-market delays and operational inefficiencies.

The impact was being felt across Corporate, Sales & Service, Supply Chain, Regulatory, and Engineering systems and the enterprise applications they were built on – such as SAP,, SuccessFactors, ServiceMax, ServiceNow, Box, and several others.

the company’s test environment was becoming increasingly unstable

With an expanding test footprint and more frequent release schedule, there were no established end-to-end regression testing scenarios before major releases. Release cycles were being extended due to extensive manual testing requirements. There were also production rollbacks due to undetected defects in the QA environment.

The delivery team was also challenged by other inefficiencies:

  • Duplicate and incomplete test cases
  • Inability to reuse test scripts
  • Missing test data and data not integrated across systems
  • A lack of automated defect tracking and metrics
  • 20 analysts spending 4+ months to test an upgrade
  • Compliance standards that were more difficult to manage, creating additional manual testing requirements

The Solution

Working together with Tricentis and the client’s delivery organization, Infostretch deployed a new continuous delivery and testing approach designed to accelerate cycle time and to keep pace with the accelerated software delivery.

Leveraging Tricentis’ Tosca AI-powered continuous testing platform as the foundation, Infostretch and Tricentis were able to integrate QA more closely with development and expand the use of test automation as part of the software delivery pipeline. This also enabled faster, more continuous feedback on the quality of each release and the potential risks associated with it.

  • Identification and refinement
    Identification and refinement of key test cases and prerequisites
  • Managing test case pre-requisites independently
    Managing test case pre-requisites independently
  • Agile testing comprised of two-week Sprints
    Agile testing comprised of two-week “Sprints”
  • Prerequisite data creation
    Prerequisite data creation as part of the test case execution to minimize the need for manual intervention
  • REST API testing
    REST API testing for both functionality and response times
  • test step for assurance
    Uploading screenshot documents with each test step for assurance
  • In-sprint automated testing
    In-sprint automated testing followed by regression/end-to-end testing
  • integration testing and successful Salesforce integrations with SAP
    Three months of integration testing and successful Salesforce integrations with SAP, ServiceMax and other common desktop applications

Salesforce and SAP to accelerate integrations
Infostretch was able to leverage its deep experience with enterprise applications such as Salesforce and SAP to accelerate integrations and test automation efforts and deliver end-to-end test automation scenarios across different systems.

Key Outcomes
& Achievements

Faster Cycle Time
Cycle Time

Test execution time reduced by 75%; new services ready-to-market in 4 months

Higher Service Levels
Service Levels

Production defects reduced substantially

Operating Efficiency

570 manual test cases reduced to 430