Andrii Piatakha

    Master Software Development Metrics & KPIs

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    Software Engineering · Online Course

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    In the rapidly evolving landscape of software engineering, maintaining a high standard of code quality while delivering features on schedule is a constant challenge. The Master Software Development Metrics & KPIs course, created by Andrii Piatakha, provides an industry-aligned roadmap to help software developers, tech leads, and engineering managers measure what matters. This comprehensive program moves beyond superficial indicators to focus on robust, actionable Key Performance Indicators (KPIs) that drive true engineering excellence. Throughout this 10-hour course, learners explore critical dimensions of code health, including unit, integration, and end-to-end test coverage. You will dive deep into analyzing and managing technical debt using the tech debt index, identifying duplicate code, and understanding the practical impact of Cyclomatic Complexity on maintainability. Additionally, the curriculum addresses optimizing code review feedback loops and maintaining a strict rules compliance index. By learning how to implement these systematic metrics, development teams can foster a culture of continuous improvement, reduce bugs, and accelerate release cycles. Whether you are an individual contributor aiming to write cleaner code or a manager seeking to align team output with organizational goals, this course equips you with the analytical tools needed to elevate your software development lifecycle.

    About the creator

    Andrii Piatakha
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    Andrii Piatakha is an accomplished software engineering expert and technical educator dedicated to bridging the gap between theoretical software architecture and real-world implementation. With a deep specialization in Java development, clean code principles, and efficient project management, Andrii has developed a pedagogical approach that prioritizes actionable, professional outcomes. He focuses on the critical intersections of modern technology, such as how Artificial Intelligence can streamline the workflows of program managers and how robust software architecture directly correlates to long-term system scalability. Throughout his courses on AllPros, Andrii emphasizes the importance of secure coding practices and the strategic use of metrics and…Show more

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    Program Overview

    Online Course

    Learning format

    Software Engineering

    Subcategory

    $34.99

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Master essential software development metrics
    • Learn to set and measure KPIs effectively
    • Achieve clean and efficient code design
    • Apply real-world metrics for optimal development
    • Understand the impact of unit test coverage on code quality
    • Integrate end-to-end test coverage into development processes
    • Manage and reduce technical debt in software projects
    • Optimize code review feedback loops for efficiency
    • The importance of integration test coverage
    • Measure and ensure unit test code coverage for reliability
    • Interpret and act on tech debt index metrics
    • Identify and address duplicate code issues
    • Maintain code quality standards with rules compliance index
    • Grasp Cyclomatic Complexity (CC) and its impact
    • Address violations for code compliance
    • Assess and improve commented code index
    • Master effective code review practices
    • Enhance unit test run success rate
    • Utilize metrics for driving development best practices
    • Understand how metrics contribute to engineering excellence

    Best For

    • Engineering managers looking to standardize team performance reporting
    • Tech leads responsible for improving code maintainability and quality
    • Senior developers aiming to quantify and reduce technical debt
    • Software architects interested in data-driven engineering practices

    Not For

    • Beginner programmers who have not yet mastered core coding syntax
    • Developers looking for a course on specific programming languages
    • Non-technical stakeholders seeking high-level project management theory

    What's included

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