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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.
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