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How To Identify Technical Debt

Episode 28 of the Complete Developer Podcast podcast, hosted by BJ Burns and Will Gant, titled "How To Identify Technical Debt" was published on March 17, 2016 and runs 58 minutes.

March 17, 2016 ·58m · Complete Developer Podcast

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<p>The term technical debt can be misleading and confusing. It is generally referred to as a metaphor referencing the consequences of system design or software architecture in a codebase. Technical debt can be difficult to identify directly so developers need to use clues that can be broken down into social cues, code cues, and testing/deployment cues. When developers don't like dealing with a particular area of code or frequently complain about working in a certain part of the codebase that is a social cue that there may be technical debt in that area. Overly tight coupling, objects with too much control, and incoherence between components are all cues in the code that there is technical debt that needs to be dealt with. Finally in testing and deployment if there is a lot of friction setting up the environment or testing fails irregularly due to brittleness there may be technical debt in the codebase.</p> Hosted on Acast. See acast.com/privacy for more information.

<p>The term technical debt can be misleading and confusing. It is generally referred to as a metaphor referencing the consequences of system design or software architecture in a codebase. Technical debt can be difficult to identify directly so developers need to use clues that can be broken down into social cues, code cues, and testing/deployment cues. When developers don't like dealing with a particular area of code or frequently complain about working in a certain part of the codebase that is a social cue that there may be technical debt in that area. Overly tight coupling, objects with too much control, and incoherence between components are all cues in the code that there is technical debt that needs to be dealt with. Finally in testing and deployment if there is a lot of friction setting up the environment or testing fails irregularly due to brittleness there may be technical debt in the codebase.</p>

Hosted on Acast. See acast.com/privacy for more information.

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