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The amount of code used by businesses is growing in tandem with the data that is being collected and analyzed.
The term ‘Big Code’ is being used as the analog to ‘Big Data’ to describe the huge amount of software being created by businesses to manage their companies, especially in the area of digital transformation.
Gartner came up with three V’s to describe Big Data: high-volume, high-velocity, and high-variety. And, additionally, some analysts and vendors have added a fourth V, value, to the list. These V’s are now being applied to describe the phenomenon of Big Code:
- Volume – More than half of developers say that they have 100 times more code to manage than they did 10 years ago, according to a survey by SourceGraph.
- Variety – Businesses are increasingly using more tools, languages, APIs, and services.
- Velocity – Developers say they are increasingly under pressure to release their software at a faster pace.
A report from SourceGraph found that “today’s massive codebases make it difficult for developers to discover, understand, and fix code because of the significant increase in its volume and complexity. Similar to how big data has disrupted data teams, big code is creating new hurdles for development teams.”