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Measuring and Reducing Technical Debt

Measuring and Reducing Technical Debt

By Maru Rivero | SVP of Engineering & Catalina Dalbagni | Content Marketing Project Manager

In software development, there’s a silent but significant issue that can undermine the success of your projects: technical debt. Often overlooked, technical debt can erode the efficiency of your operations, inflate your costs, and compromise the quality of your product. In this blog post, we’ll explore the root of it technical debt, what to look out for, why it’s detrimental to your business, how it accumulates, measuring technical debt and strategies to mitigate it.

What is Technical Debt?

Technical debt is a concept that refers to the implied cost of additional rework caused by choosing an easy (yet limited) solution now instead of using a better approach that would take longer. Like financial debt, technical debt incurs interest payments, in the form of slower future development, increased bug rates, and higher maintenance costs. For Project Managers, Directors, or Project Coordinators, understanding, managing and measuring technical debt is crucial to maintaining the health of your software products and ensuring successful project delivery.

The Root of Technical Debt

Imagine your codebase as a tree. A healthy tree has strong roots, a sturdy trunk, and flourishing branches. However, technical debt is like a disease that starts at the roots and gradually spreads throughout the tree, weakening it over time. What are these causes?

Measuring Technical Debt: How Technical Debt Accumulates

How Technical Debt Accumulates

  1. Talent Attrition: High turnover rates result in loss of institutional knowledge and experience, leading to a codebase that is harder to understand and maintain.
  2. Rushed Development: In the rush to meet deadlines, developers might cut corners, leading to quick but suboptimal solutions.
  3. Lack of Documentation: Poor or missing documentation makes it harder for new team members to understand the codebase, leading to errors and inefficiencies.
  4. Inconsistent Coding Standards: Without a standardized approach to coding, different parts of the codebase may follow different conventions, making integration and maintenance harder.
  5. Deferred Refactoring: When code is written in a way that isn’t optimal but works, refactoring it to improve the structure is often postponed, accumulating debt over time.
  6. Ignoring Code Reviews: Skipping thorough code reviews can result in overlooked errors and inefficient code that accumulates debt.


How To Know You’re Suffering from Technical Debt?

Just as rot at the roots weakens the entire tree, technical debt can compromise the very foundation of your software systems.

  1. Sluggish Development Cycles

    • Symptom: Your team spends more time fixing bugs than developing new features.
    • Pain Point: Delayed time-to-market for new initiatives.

  2. Escalating Maintenance Costs

    • Symptom: Increased expenditure on maintaining and patching up your existing codebase.
    • Pain Point: Budget overruns and resource strain.

  3. Quality

    • Symptom: Recurring issues and instability in your software.
    • Pain Point: Compromised user experience and satisfaction.

  4. Developer Frustration and Turnover

    • Symptom: High levels of developer dissatisfaction and attrition.
    • Pain Point: Loss of valuable talent and institutional knowledge.

  5. Complex Codebase

    • Symptom: Code that’s difficult to understand, modify, or extend.
    • Pain Point: Reduced efficiency and increased risk of errors during development.

In a McKinsey study, for example, CIOs report that technical debt amounts to 20 percent to 40 percent of their entire technology estate before depreciation. What’s more, 60 percent of CIOs claim their company’s technical debt is higher than it was three years ago.

“Technical debt is like a high-interest credit card. It’s easy to accumulate but hard to pay off. The longer you wait to address it, the more costly it becomes.” — Robert C. Martin (Uncle Bob)

Matrix of Technical Debt

This chart helps assess how well a tech project is managed concerning technical debt and strategic planning. It divides projects into four quadrants, each representing a different combination of project management style and the handling of technical debt. When managed strategically, technical debt can be leveraged to enhance a project’s long-term success.

Measuring Technical Debt: The Matrix of Technical Debt

Impulsive & Managed:

These projects are reactive and often driven by short-term needs, but the team is diligent in managing the technical debt that accumulates. While the project may start impulsively, the technical debt is monitored and addressed regularly.

Challenges: Balancing the need for speed with the ongoing effort to manage technical debt.

Strategic & Managed:

The ideal scenario, where the project is strategically planned and technical debt is managed from the outset. These projects are positioned for long-term success with minimal technical debt.

Benefits: High efficiency, scalability, and lower long-term costs due to controlled technical debt.

Impulsive & Unknown:

The riskiest scenario, where the project is reactive, and the technical debt is not being tracked or managed. This combination often leads to significant problems down the line, such as unsustainable development cycles and escalating costs.

Risks: High potential for project failure or costly overhauls in the future due to unmanaged technical debt.

Strategic & Unknown:

These projects are strategically planned, but there’s a lack of awareness or management of technical debt. This scenario is deceptive; while the project appears well-managed on the surface, underlying technical debt could eventually undermine its success.

Concerns: The risk of future technical debt surfacing unexpectedly, potentially disrupting long-term plans.


Measuring Technical Debt

Measuring Technical Debt

1. Code Quality Metrics

Utilize automated tools to analyze your codebase for complexity, duplication, and adherence to coding standards. Common tools include SonarQube, CodeClimate, and static analysis tools like ESLint for JavaScript or Pylint for Python.

  • Code Complexity: High complexity scores indicate convoluted code that’s harder to maintain.
  • Code Duplication: Repeated code segments are a sign of poor design and can increase maintenance burdens.
  • Code Coverage: Low test coverage often correlates with higher technical debt, as it suggests a lack of thorough testing.

2. Technical Debt Ratio (TDR)

TDR is a measure that compares the cost of fixing issues in the codebase to the cost of developing the code initially. A high TDR indicates significant technical debt.

3. Issue Tracking and Backlogs

Examine your issue tracking systems, such as Jira or Trello, for the number and nature of bugs and technical debt-related tickets. A growing backlog of issues is a clear indicator of accumulating technical debt.

4. Maintenance Frequency

Track how often your team needs to revisit and fix past code. Frequent changes and bug fixes are symptomatic of underlying technical debt.

A Mitigation Plan for Technical Debt

Step 1: Identify and Measuring Technical Debt

  1. Code Reviews:

    • Schedule regular code reviews to spot areas of concern.
    • Use automated code analysis tools to highlight complex and duplicated code.

  2. Technical Debt Assessment:

    • Conduct a comprehensive assessment of the current codebase.
    • Evaluate the Technical Debt Ratio (TDR) to understand the extent of debt.

  3. Backlog Analysis:

    • Analyze your issue tracking system for unresolved bugs and technical debt-related tasks.

Step 2: Prioritize Technical Debt

  1. Categorize Debt:

    • Divide technical debt into categories (e.g., critical, high, medium, low) based on its impact on the project.

  2. Business Impact Analysis:

    • Assess how each piece of debt affects business operations, user experience, and development efficiency.

  3. Set Priorities:

    • Prioritize addressing critical debt that impacts project delivery and customer satisfaction the most.

Step 3: Develop a Mitigation Plan

  1. Define Objectives:

    • Set clear, achievable goals for reducing technical debt.
    • Establish metrics to measure progress, such as reduction in bug frequency and increased development velocity.

  2. Allocate Resources:

    • Dedicate specific time and resources for addressing technical debt during each development cycle.
    • Ensure team members are trained and equipped to tackle identified debt.

  3. Refactoring Strategy:

    • Plan regular refactoring sessions to improve code quality incrementally.
    • Implement automated testing to catch issues early and maintain high code standards.

Step 4: Implement Agile Practices

  1. Iterative Development:

    • Adopt agile methodologies to manage technical debt continuously.
    • Incorporate technical debt tasks into sprint planning to ensure ongoing attention.

  2. Continuous Integration and Deployment (CI/CD):

    • Use CI/CD pipelines to automate testing and deployment, ensuring that new code integrates smoothly with the existing codebase.

  3. Feedback Loops:

    • Establish feedback loops with developers and stakeholders to identify and address technical debt proactively.

Step 5: Monitor and Review

  1. Regular Audits:

    • Conduct periodic audits of the codebase to monitor the state of technical debt.
    • Use tools to track key metrics like code complexity, duplication, and test coverage.

  2. Progress Reports:

    • Generate regular reports to track progress against set objectives.
    • Share insights with stakeholders to maintain transparency and support.

  3. Continuous Improvement:

    • Review and refine the mitigation plan based on feedback and outcomes.
    • Encourage a culture of continuous improvement and proactive debt management within the development team.

Technical debt, if left unchecked, can severely impact your organization’s ability to innovate, maintain cost efficiency, and deliver quality products. Recognizing the signs of technical debt and implementing strategies to manage it can help your team maintain a healthy codebase, fostering a culture of excellence and innovation. By addressing technical debt head-on, you can ensure that your software solutions remain robust, scalable, and future-proof.

Understanding, managing and measuring technical debt is crucial for the success and sustainability of any software development project. By proactively addressing technical debt, your organization can improve its efficiency, reduce costs, and maintain high standards of product quality. If you’re looking to optimize your development process and reduce technical debt, our team of experts is here to help. Contact us today to learn more about our software solutions and how we can support your business.