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Understanding and effectively managing Technical Debt (TD) remains a vitalchallenge in software engineering. While many studies on code-level TD havebeen published, few illustrate the business impact of low-quality source code.In this study, we combine two publicly available datasets to study theassociation between code quality on the one hand, and defect count andimplementation time on the other hand. We introduce a value-creation model,derived from regression analyses, to explore relative changes from a baseline.Our results show that the associations vary across different intervals of codequality. Furthermore, the value model suggests strong non-linearities at theextremes of the code quality spectrum. Most importantly, the model suggestsamplified returns on investment in the upper end. We discuss the findingswithin the context of the "broken windows" theory and recommend organizationsto diligently prevent the introduction of code smells in files with high churn.Finally, we argue that the value-creation model can be used to initiatediscussions regarding the return on investment in refactoring efforts.

Increasing, not Diminishing: Investigating the Returns of Highly Maintainable Code