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This study summarizes results of a study of Technical Debt across 745 business applications comprising 365 million lines of code collected from 160 companies in 10 industry segments. These applications were submitted to a static analysis that evaluates quality within and across application layers that may be coded in different languages. The analysis consists of evaluating the application against...
This article characterizes technical debt across 700 business applications, comprising 357 MLOC. These applications were analyzed against more than 1,200 rules of good architectural and coding practice. The authors present a formula with adjustable parameters for estimating the principal of technical debt from structural quality data.
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