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This study analyzes data from 43 enterprises, 333 organizations, and over 537,000 repositories to uncover the critical impact of code quality on long-term software performance. Discover which metrics truly predict quality, why even top developers struggle with poor codebases, and how optimizing quality can unlock significant cost savings and productivity gains.
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Bringing objectivity to your decisions
Giving teams visibility, managers are enabled to increase the velocity of development teams without risking code quality.
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out of 10 of the worlds biggest banks
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of the S&P Top 50 Companies
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of the Fortune 50 Companies