Customer Impact

Accelerating Innovation: How Pratt & Whitney Transformed Regression Testing with Automation

Faced with significant challenges in regression testing, including inefficient automation efforts, manual workflows, and a lack of a reusable testing framework, Pratt & Whitney sought a transformative solution. Merito partnered with Pratt & Whitney to address these obstacles. We implemented a scalable automation framework, optimized their Software Development Life Cycle (SDLC), and automated their approval processes. These solutions enhanced testing efficiency and fostered collaboration across teams.

Test AutomationQASAP
F-135 jet engine created by Pratt & Whitney on a test mount before test fire
Black and Blue circle with Pratt & Whitney at the top, an eagle in the middle and dependable engines at the bottom of the circle.

Challenges

  • Automate testing processes for critical SAP workflows to reduce manual effort
  • Automate email-based approval processes to eliminate inefficiencies
  • Standardize regression testing across teams to ensure consistency
  • Align long-standing practices with modern automation tools and frameworks

Pratt & Whitney faced several roadblocks in their regression testing processes. Their reliance on manual testing and outdated workflows made it difficult to maintain efficiency and consistency across teams.

As a company known for precision and innovation in aerospace, Pratt & Whitney recognized the importance of bringing similar rigor to their software testing. However, their existing methods were fragmented, with no reusable automation framework in place, leading to duplicated efforts and missed opportunities for efficiency.

Additionally, long-standing workflows, heavily reliant on tribal knowledge, further complicated efforts to introduce modern tools and methods.

Pratt & Whitney’s challenges called for a comprehensive transformation to ensure their testing processes met the high standards of quality and efficiency that their operations demand

Two Pratt & Whitney technicians kneel beneath a jet engine in a hangar, wearing gloves and using tools to inspect and service the engine’s components.  Short alt text: Two mechanics servicing a jet engine.

Why Automation Coverage Matters

In today’s fast-paced business environment, achieving high automation coverage is critical for ensuring consistent quality, reducing costs, and accelerating time-to-market. For businesses like Pratt & Whitney, whose operations impact global safety and efficiency, robust automation coverage offers several key advantages:

  1. Consistency and Reliability: Automated regression testing keeps core features locked down, so you can trust that updates won’t disrupt essential SAP workflows.
  2. Cost and Time Efficiency: By cutting out repetitive manual checks, your team frees up bandwidth for strategic work—driving down both effort and operating expenses.
  3. Scalability: As application complexity grows, a robust automation framework expands your testing capacity without compromising on speed or precision.
  4. Risk Mitigation: With broader automation coverage, you get faster feedback loops, catching defects early and steering clear of costly production issues.

For Pratt & Whitney, these benefits are especially significant. Their role in designing and maintaining advanced aerospace systems means that any inefficiency or error in their processes can have far-reaching consequences. By increasing their automation coverage to 65%, they have enhanced their ability to deliver safe, efficient, and reliable systems while streamlining operations.

Visualizing the Transformation

A simple line chart titled “Why Automation Coverage Matters” with the vertical axis labeled “Automation Coverage (%)” ranging from 0 to 70, and the horizontal axis showing three project stages: Start, Midway Project, and End. A red line connects three data points: at Start (~15 %), rising steeply to Midway Project (~55 %), and climbing further to End (~65 %). Below the chart is a teal caption box reading: “This visualization underscores the measurable improvements in automation coverage at key project stages, growing from an initial 32 % to 65 % by the end of the engagement.

Solutions

Merito developed and implemented tailored solutions to address Pratt & Whitney's challenges:

  1. Regression Automation Framework:
    - Delivered a automation strategy using UFT, aligned with their existing tools.
    - Automated critical SAP workflows, including order-to-cash and procurement-to-pay processes.
    - Established a reusable framework that reduced duplication and enabled consistent test execution.
  2. Streamlining Approvals and Documentation:
    - Automated the email-based approval process to accelerate decision-making and reduce delays.
    - Introduced Sprinter, a tool that automated test documentation through storyboard images, saving significant time and effort.
  3. Enhancing the Software Development Life Cycle:
    - Refined the SDLC to increase efficiency and collaboration across teams.
    - Enabled better backlog prioritization and alignment with business goals.
  4. Driving Engagement Through Collaboration:
    - Conducted workshops and hands-on training sessions to align team members with new tools and processes.
    - Demonstrated the tangible benefits of automation to encourage adoption across teams.

Summary and Results

Merito addressed Pratt & Whitney’s challenges with a comprehensive approach, focusing on automation, workflow optimization, and collaboration. We implemented a robust regression testing framework using UFT, automated key SAP workflows, and streamlined their SDLC. The manual email-based approval process was replaced with an efficient, automated workflow, and tools like Sprinter were introduced to simplify documentation. Through hands-on training and collaboration, we aligned teams with modern testing practices, fostering a culture of innovation and consistency.

Pratt & Whitney experienced transformational outcomes from Merito's engagement:

  • Increased Automation: Achieved 65% automation coverage, far exceeding their original goal of 45%
  • Enhanced Efficiency: Regression cycles were streamlined, enabling faster issue detection and resolution
  • Time Savings: Automation of approvals and documentation processes significantly reduced manual effort and accelerated deployments
  • Cross-Team Collaboration: Other teams within the organization adopted similar automation practices, fostering a culture of innovation



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