While it began as a concept, tech debt evolved in recent years into a measurable problem that companies track. What is new is a global tally of the issue.
With the first-ever release of this data –tapping CAST’s analysis of over 10 billion lines of code – our research finds that global tech debt levels have reached 61 billion days in repair time. Drawn from 17 countries that represent 51% of the world’s GDP, this stark figure is also a conservative one.
LOC Analyzed
Applications Examined
Age of code
United States
Italy
France
India
Spain
Austria
Netherlands
Mexico
UK
Brazil
Germany
Malaysia
Denmark
Canada
Ecuador
Peru
Belgium
Measured by the time required to repair code – the most comparable metric across geographies – the most indebted country is the United States, followed by Italy and France.
Notably, emerging economies such as Malaysia, Ecuador, and Peru, have a much lighter tech debt burden. This opens the door for a potential development ‘leapfrog’ opportunity, driven by AI, last seen with deployment of mobile networks in the early 2000s.
Software Health captures how applications comply with programming best practices. It is the average of the following metrics.
Index derived from analysis of code patterns and programming practices that can compromise reliability in the short term. The higher the Resiliency, the lower likelihood of defects in production.
Index derived from analysis of embedded documentation and code readability best practices. The higher the agility, the easier the code is to maintain.
Index derived from analysis of unnecessary degree of complexity. The lower the score, the greater number of defects which may become costly to fix in the mid-term.
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