technical spike example

Learn what a spike is and when it is needed. A technical spike allows the team to decide how, when, and even if that piece of work will be done at all.In DevOps and Lean Startup terms, this means that there can be no Minimum Viable Product developed in a spike because nothing is being prepared that will be of release quality. Learn how to prioritize technical user stories & spikes in a product backlog. For example, an article in the Information and Software Technology Journal defines technical debt in very specific terms: “Technical debt describes the consequences of software development actions that intentionally or unintentionally prioritize client value and/or project constraints such as delivery deadlines, over more technical implementation, and design considerations…” What to do now, though, since it cannot be put off any longer? In simple terms, a technical spike is a separate refinement activity that allows an ungainly and unquantifiable backlog item to actually be sized. Unlike most backlog refinement work, a spike will typically involve a measure of coding, of "getting some dirt under the fingernails." The true technical spike is a last resort and ought to happen only infrequently. ... task, spike is also an issue, whereas a spike cannot be treated as a story because it is termed as a spike because of lack of clarity. It allows them to gain insight into the size and shape of the problem. ... For example, feasibility spikes, which validate a "do-ability" hypothesis, ought to be valued by the customer or Product Owner and prioritized by them accordingly. This allows me to utilize my know how in the service of a wider audience. My recollection from the early XP Universe conferences in 2001/2002, is that the term “spike” comes from an analogy to rock climbing. The Since they represent uncertainty in one or more potential stories, planning for both the spike and the resulting stories in the same iteration is sometimes risky. The goal of an Agile team is to learn how to address uncertainty in each iteration. It can then be brought into progress at the optimal time, with an appropriate hypothesis formed and a suitable MVP planned for its validation.When is a spike not a spike? In a spike, any more coding or testing than is needed for estimation is a waste.Surprisingly, perhaps, a true spike will not contribute any value to the increment that is currently being worked on. In simple terms, a technical spike is a separate refinement activity that allows an ungainly and unquantifiable backlog item to actually be sized. Learn about anti-patterns w.r.t technical user stories. Value, on the other hand, will only be added if the team agree to perform the actual development work at a later point. Thus, in one sense, every user story contains spike-like activities to identify the technical and functional risks. Their purpose is to gain the knowledge necessary to reduce the risk of a technical approach, better understand a requirement, or increase the reliability of a story estimate. Any more than that is a waste. A spike here and there isn’t likely to have a significant impact on the velocity trend over, for example, 8 or 10 sprints. It is a refinement activity and not a development one. Here’s an example:“As a consumer, I want to see my daily energy use in a histogram so that I can quickly understand my past, current, and projected energy consumption.”In this case, a team might create both types of spikes:Since spikes do not directly deliver user value, use them sparingly.

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