18+ Tech debt graph ideas

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Tech Debt Graph. GraphQL not to be confused with GraphDB or Open Graph or even an actual graph is a remarkably creative solution to a relatively common problem. An integrated suite of software development tools. Your technical debt belongs on your product roadmapalongside your epics themes and any other strategic elements of your products plans and goals. With some tweaking the theory of technical debt can be translated to certain metrics such as time-to-market versus time working overtime to pay down interest.

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Think of technical debt as anything about your code that slows you down over the long term. Yes technical debt is a strategic element of your product As product evangelist John Cutler puts it make technical debt a first-class citizen You can do this by including it on your strategic roadmap giving your cross-functional team visibility into how much debt. Grab a piece of paper and draw a technical debt graph over time. It may or may not be depending on the nature of the change eg replacing a shortcut with the real solution vs. The term for this is Technical Debt although for the purpose of this article Ill simply call it Crappy Code. I have been using metrics since the days of PC-Metric and PC-Lint IIRC.

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Over 2 decades of experience. In the US the latter view appears to have taken hold. How do you enable front end developers to access backend data in exactly the way they need it. Now think of any system youre working on. Visual representations of the current technical debt the necessary steps to decrease the debt and an idealized final state will go a long way in swaying stakeholders. Obviously I understand that boiling down a complex concepts like technical debt or maintainability into a single number might be misleading or inaccurate in some cases however I need a simple way to convey the to a customer who is not hands-on in the code roughly how much technical debt is built into their system relative to other systems for the goal of building a case for refactoringunit testsetc.

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A challenge that I see is not so much about gathering metrics. Splitting a monolithic code base into microservices. Hard-to-read code lack of test automation duplication tangled dependencies etc. While financial debt is easy to track technical debt is not inherently a metric. Draw your technical debt curve.

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Your technical debt belongs on your product roadmapalongside your epics themes and any other strategic elements of your products plans and goals. Let me briefly explain how to calculate each of these technical debt components. This can lend itself to swapping out debt-ridden services or code with cleaner implementations. To gain a better understanding of this ever-growing debt this infographic takes a closer look at various US. Budgetary datasets including the 2019 fiscal balance.

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A challenge that I see is not so much about gathering metrics. Theres a temptation on the development side to characterize architectural work as technical debt. By design GraphQL is very modular focused and simple. Since resolving technical debt is what the development team should aim for technical debt should be entered in the product backlog as a user. In the US the latter view appears to have taken hold.

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Since resolving technical debt is what the development team should aim for technical debt should be entered in the product backlog as a user. Over 2 decades of experience. Grab a piece of paper and draw a technical debt graph over time. Over 5 billion AWS hours. You can have graphs like this one which give you the trend of your technical debt and show you if the situation is getting better or worse.

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For the first time we are offering an entire toolset to the world as DevGraph. We want to display. Later I added 60 metrics and 60 audits into Together you could even trend your results to see progress over. Most likely however you will see a bunch of 2s or worse and very few 4s and 5s. Splitting a monolithic code base into microservices.

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Or it can show up as less productivity from a teamwhich is also difficult to measure. Technical Debt Matrix inspired by the Eisenwhower Matrix Some types of technical debt are easy to remove and require only a small amount of. The term for this is Technical Debt although for the purpose of this article Ill simply call it Crappy Code. You can have graphs like this one which give you the trend of your technical debt and show you if the situation is getting better or worse. Theres a temptation on the development side to characterize architectural work as technical debt.

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Now think of any system youre working on. A SonarQube debt graph from a current project. Grab a piece of paper and draw a technical debt graph over time. Technical debt refers to the accumulated costs and long-term consequences of using poor coding techniques making qualitytime trade-offs delaying routine maintenance and employing other suboptimal IT practices in the enterprise. You have even quantified it.

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Let me briefly explain how to calculate each of these technical debt components. Most likely however you will see a bunch of 2s or worse and very few 4s and 5s. Over 2 decades of experience. Obviously I understand that boiling down a complex concepts like technical debt or maintainability into a single number might be misleading or inaccurate in some cases however I need a simple way to convey the to a customer who is not hands-on in the code roughly how much technical debt is built into their system relative to other systems for the goal of building a case for refactoringunit testsetc. Over 600M lines of code.

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When you expose a GraphQL API you are getting very granular with your data specifying the fields that are exposed and then specifying precisely how to get that piece of data. Budgetary datasets including the 2019 fiscal balance. While financial debt is easy to track technical debt is not inherently a metric. Your technical debt belongs on your product roadmapalongside your epics themes and any other strategic elements of your products plans and goals. Since resolving technical debt is what the development team should aim for technical debt should be entered in the product backlog as a user.

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Or it can show up as less productivity from a teamwhich is also difficult to measure. It may or may not be depending on the nature of the change eg replacing a shortcut with the real solution vs. By design GraphQL is very modular focused and simple. Grab a piece of paper and draw a technical debt graph over time. Your technical debt belongs on your product roadmapalongside your epics themes and any other strategic elements of your products plans and goals.

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A SonarQube debt graph from a current project. A challenge that I see is not so much about gathering metrics. Or it can show up as less productivity from a teamwhich is also difficult to measure. For the first time we are offering an entire toolset to the world as DevGraph. Since 2008 Americas national debt has surged nearly 200 reaching 27 trillion as of October 2020.

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The term for this is Technical Debt although for the purpose of this article Ill simply call it Crappy Code. We want to display. Over 2 decades of experience. Or it can show up as less productivity from a teamwhich is also difficult to measure. Think of technical debt as anything about your code that slows you down over the long term.

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