How one simple testing library saves companies billions of dollars

Picture this: Your team is about to launch the most important product of the year, but instead of polishing features, the engineers are stuck writing basic testing code from scratch. Why? Because there's no shared testing framework everyone can use.

A Simple Question That Reveals Billions in Hidden Value

What would have happened if Google had never shared its own C++ testing framework, Google Test, with the world?

This question isn't just about Google Test (gtest); it reveals how much money companies save by using free, open-source software. Whether we're using Linux, Kubernetes, LLVM, ROS 2, OpenCV, or any other open-source project, the economic benefits are the same.

Understanding the Economic Impact

What Google Test Represents Today

• Code size:About 50,000 lines of code (Google Test only, excluding Google Mock)
• Development effort:Roughly 15 person-years of work in Basic COCOMO (COnstructive COst MOdel)*
• Cost to rebuild from scratch:Around $2.6 million based on current US Big-Tech rates for developer salaries
• Community support:424 contributors, over 4,500 updates, 36,000 stars on GitHub

*COCOMO is an industry-standard model for estimating software development effort

Living in a World Without Standards

Imagine if every company had to build its just-good-enough testing framework. What would that cost?

Let's do some simple math:

• 5 engineers working for 6 months
• Average global salary for C++ developers: $100,000/year
• Initial cost per company: $250,000(5 engineers × 0.5 years × $100,000 = $250,000)
• Yearly maintenance: $100,000-200,000(1-2 engineers × $100,000 = $100,000-200,000)

Now multiply this by 2,000 companies doing the same:

• Initial cost across all companies:$500 million(2,000 companies × $250,000 = $500,000,000)
• Annual maintenance:$300 million(2,000 companies × $150,000 average = $300,000,000)
• Three-year total:$2 billion($500M initial + $300M × 5 years = $2,000,000,000)

That's $2 billion spent solving the same problem 2,000 times. Think about what those engineers could build instead if they didn't have to recreate basic tools.

Open-source turns thousands of duplicate efforts into one shared solution that everyone can use.

The Real Cost of Software Bugs

Let's look at what bugs cost depending on when you find the bug:

• During development with testing:~$100
• During system testing:~$1,500
• After release (in production):~$10,000

These numbers are based on real industry studies. Now consider a more conservative scenario:

• Each bug caught early saves between $100 and $500.Not every bug would reach production, but early detection still saves testing and rework time.
• A typical large software project finds 200-500 significant bugs per year.This varies significantly depending on the project size and complexity.
• Catching just 100 bugs early could save $200,000-$ 400,000 annually.If 20% had reached production, 20 bugs × $10,000 =a minimum of$200,000. Plus, savings from faster development cycles and reduced testing overhead

These savings don't appear on any invoice, but they absolutely show up in your company's profits as money you didn't have to spend on emergency fixes and angry customer support.

When Software Bugs Have Real-world Consequences

Some industries that are highly regulated face even bigger risks with compliance

1. Automotive:Safety recalls can cost hundreds of millions; one airbag bug in 2023 cost $150 million
2. Healthcare:FDA violations can shut down entire product lines; a recent insulin pump defect cost $130 million
3. Finance:Trading errors can burn millions in minutes; Knight Capital lost $440 million in 45 minutes

Studies show that staying compliant costs approximately $5.5 million per year on average. Fixing violations costs an average of $15 million.

Finding Hidden Savings Throughout Your Business

Beyond the straightforward saving, here's where else free OSS saves money

• Faster product launches:Automated tests cut development cycles by 30%, letting you earn revenue weeks earlier
• Keeping customers happy:Fewer production bugs mean less customer churn and higher lifetime value
• More time for innovation:Fixing bugs faster means engineers spend more time building new features
• Zero licensing fees:Google Test costs $0 in licensing, while commercial tools cost an average of $3,000 per developer per year. For a 50-engineer company, this results in a cost savings of $150,000 annually compared to commercial tools
• Easier hiring:New engineers already know the tool, reducing training time and costs
• No vendor lock-in:You're never forced to pay sudden price increases or migrate to new versions or products
• Community development power:Thousands of engineers worldwide constantly improve Google Test, their bug fixes, tutorials, and improvements automatically benefit your projects for free

Beyond the direct cost savings, OSS delivers value in many unexpected ways.

Speaking the Language of Business Leaders

When explaining open-source value to executives, translate code benefits into business results:

• Budget pressure:Redirect six-figure tool budgets to building features that customers pay for
• Risk management:Fewer production bugs mean fewer outages and compliance issues. It is counterintuitive because most highly safety-regulated industries view OSS as a high risk. Will cover this in later articles.
• Vendor dependence:Community-driven tools mean no surprise price increases or forced migrations from suppliers.
• Talent acquisition:Hire faster and cheaper

The Multiplier Effect Across Your Technology Stack

Could you look at your company's software dependencies? Each open-source library represents thousands of engineering hours you didn't have to pay for. Google Test is just one example, but this principle applies to your entire technology foundation.

Next time someone questions why your team contributes to open-source projects, show them the numbers. The millions you save by not rebuilding basic tools are what allow you to invest in the innovations your customers see and pay for.

Why Companies Share Code for "Free"

Google, Microsoft, Meta, and other tech giants invest heavily in open-source projects, such as Google Test. Are they suddenly overcome with the spirit of generosity to give away millions of dollars worth of code out of the goodness of their hearts?

Spoiler alert: They're not running a charity. The economics work overwhelmingly in their favor. In our next article, we'll explore the strategic business reasons why sharing code sometimes creates more value than keeping it secret.

Key Takeaway: 

Open-source software, such as Google Test, quietly saves the tech industry billions of dollars by preventing duplicate work, catching expensive bugs early, and freeing engineers to build innovative products instead of basic tools. Understanding this hidden economic value helps explain why investing in "free" software is one of the best investments any tech company can make.

Short Bio:

I work on end-to-end robotics and mobility solutions that bridge cloud technologies with physical devices and edge computing, transforming research and open-source code into production-ready systems.

Currently serving as GM/MD at OpenTier, I lead cross-functional teams supporting autonomous and robotics platforms powered by OSS foundations. I shape strategy, drive growth, and ensure operational excellence.

Before that, I led European Engineering and Product Management at Apex.AI, delivering safety-critical, software-defined vehicle platforms. First team in the market to certify an open-source project (ROS 2) based on C++14 to ISO 26262 ASIL-D.

What drives me is making autonomous systems accessible, reliable, and safe. I believe the future of mobility and robotics lies in collaborative ecosystems that accelerate innovation while ensuring safety and scalability. My research focuses on bridging the gap between OSS communities and enterprise deployment. My personal mission is to unify the fragmented efforts in this domain into a qualified production-ready ecosystem.

Passionate about the convergence of AI and robotics to solve real-world challenges. Continuously exploring how technologies, such as agentic AI and multimodal learning, can enhance productivity.

My EMBA from ESMT Berlin focused on technology leadership that delivers both innovation and business impact.

Thursday, September 25, 12.30 AM