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Technical Debt in Testing: Understanding its Cost and Managing It

Have you ever been in a rush and thought, “I’ll clean it up later”?

It’s a tempting shortcut, especially in testing, where deadlines and priorities often push teams to cut corners. But, like leaving dishes in the sink, those shortcuts don’t just disappear. They pile up, becoming technical debt.

Technical debt in testing affects not only your code but also the entire team's productivity and confidence. The good news, however, is that, with the right strategies, you can manage and even prevent it.

Let's explore what technical debt in testing is, why it happens, and how to proactively address it.

What Is Technical Debt in Testing? (And Why Should You Care?)

Technical debt refers to the long-term cost of shortcuts in software development. It occurs when developers choose quick, convenient solutions over well-planned, maintainable ones to meet deadlines or save time.

Think of it as the "interest" a team pays for moving fast and taking shortcuts today, which often comes at the expense of software quality and future productivity.

In software testing, technical debt shows up in various ways, such as:

  • Skipping test refactoring, which can result in messy, hard-to-update test suites and introduce new bugs.
  • Postponing automation, which leaves you with incomplete coverage and flaky test results, which creates more work down the line.
  • Outdated or improper documentation, which causes onboarding headaches for new team members and even old members who want to refer back to the documentation.
  • Inadequate test coverage focuses only on critical paths, leaving edge cases untested and increasing the risks of undetected bugs.

At first, all these might not seem like a big deal. You might think, "But shortcuts save time, right?" And you're not wrong: shortcuts can help teams ship features faster, meet short-term goals, and respond to changing requirements.

However, in an effort to meet these deadlines, teams incur technical debts that lead to setbacks.

The Long-Term Costs of Ignoring Technical Debt

Some of the long-term costs of ignoring technical debt include increased maintenance costs, a higher risk of bugs and regression, a decline in team productivity, and decreased confidence in test suites. Let’s examine these costs more closely.

1. Increased maintenance costs

What may seem like a small issue today—for example, skipping test refactoring—can quickly escalate into a much bigger problem.

Imagine trying to fix a test suite that is disorganized, outdated, and hasn't been touched in months. Fixing those messy tests later becomes more difficult and more expensive. What could have been a quick refactor turns into a full-blown task.

2. Higher risk of bugs and regressions

Poor test coverage, flaky tests, and a lack of proper automation increase the risk of bugs slipping through the cracks.

These bugs don’t just impact the software quality; they also destroy trust among your users and stakeholders. Suddenly, a quick shortcut doesn’t feel worth it anymore.

3. Reduced team productivity

When tests are difficult to maintain or take too long to run, developers waste valuable time troubleshooting unreliable results.

Developers may need to wait for the test suite's response or spend extra time resolving false negatives, which can impact the development workflow and team productivity.

4. Decreased confidence in the test suite

When a test suite is unreliable, teams start to lose confidence in its ability to catch critical issues. They might ignore certain test failures or, worse, skip running tests altogether. This creates a cycle in which technical debt continues to increase.

You might be thinking, “Okay, I get it. Technical debt is bad. But what can we do about it?” Managing technical debt might sound overwhelming, but with the right strategies, it's achievable.

How to Proactively Address Technical Debt in Testing

You don't have to be stuck with technical debt indefinitely. Here are some practical steps to address it proactively:

1. Prioritize regular test refactoring

Think of test code as being similar to production code; they require attention as well. Schedule regular refactoring sessions to clear up any messy tests. This makes them easy to manage and keeps them relevant as your application grows.

2. Invest in test automation

Start small if you need to, but don’t ignore automation. By automating repetitive or high-impact tests, you can save time and effort in the long term. Plus, it helps you catch bugs early before they become big issues.

3. Keep documentation up-to-date

Most testers don't enjoy writing documentation, but clear, concise test documentation can save your team hours of frustration. It is especially useful for onboarding new team members and ensuring consistency across the board.

4. Aim for balanced test coverage

To achieve balanced test coverage, test not only critical features but also edge cases and integrations that might pose significant risks if they fail.

If possible, use the testing pyramid framework for balanced coverage and to ensure your application is resilient, even in unusual situations.

5. Incorporate debt management into sprints

Proactively manage technical debt in sprints to ensure that it does not accumulate to the point where it affects team productivity or compromises quality.

To achieve this, during each sprint, schedule time and create visible backlog items to address technical debt, allowing it to be acknowledged and prioritized alongside features and bugs

Addressing technical debt is not only about avoiding bugs and saving resources but also creating a culture where testing is viewed as an essential component of development. When you manage technical debt proactively, you not only improve software but also build trust in your process and product.

A Little Effort Now Saves Big Issues Later

So, what is the takeaway? Technical debt in testing is not unavoidable; it can be managed, and it should be treated as a "now" problem rather than a "later" one.

Address it on a regular basis by using strategies such as refactoring, automation, and documentation to protect your team against future crises, improve your entire workflow, and maintain the quality of your software.

The next time you're tempted to take a shortcut, think about the long-term costs. A little extra effort today can save you and your team a lot of headaches tomorrow.

 

References:



MagicPod is a no-code AI-driven test automation platform for testing mobile and web applications designed to speed up release cycles. Unlike traditional "record & playback" tools, MagicPod uses an AI self-healing mechanism. This means your test scripts are automatically updated when the application's UI changes, significantly reducing maintenance overhead and helping teams focus on development.


Juliet Ofoegbu

Written by Juliet Ofoegbu

Juliet is a developer and technical writer specializing in software development. With a few years of experience in the field, she combines her coding expertise with a knack for clear communication to produce insightful technical articles. Passionate about making technology accessible, Juliet's work aims to break down complex concepts and empower developers of all levels.