By Christopher W. H. Davis
Undertaking monitoring structures, try and construct instruments, resource keep an eye on, non-stop integration, and different integrated elements of the software program improvement lifecycle generate a wealth of knowledge that may be used to trace and enhance the standard and function of goods, tactics, and groups. even if the iterative nature of Agile improvement is ideal for data-driven non-stop development, the gathering, research, and alertness of significant metrics usually fades in desire of subjective measures that provide much less perception into the true demanding situations of creating higher software.
Agile Metrics in motion: Measuring and embellishing the functionality of Agile groups is a realistic publication that indicates find out how to take the knowledge already being generated to make groups, approaches, and items larger. It issues out which metrics to exploit to objectively degree functionality and what information relatively counts, besides the place to discover it, the right way to get it, and the way to investigate it. The ebook additionally indicates how all workforce participants can put up their very own metrics via dashboards and radiators, taking cost of speaking functionality and person responsibility. alongside the best way, it bargains functional facts research options, together with a number of rising substantial info practices.
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Additional info for Agile Metrics in Action: Measuring and Enhancing the Performance of Agile Teams
6 Summary In this chapter we followed a team through the implementation of an agile performance metrics system and demonstrated how they used the system. In this extended case study the development team used the following techniques that you can also use to start measuring and improving your team: ■ ■ ■ ■ ■ ■ ■ Start with the data you have. Build on what you have using the frameworks you’re familiar with. Frame data collection around questions you want to answer. When you find negative trends, determine solutions that have measureable outcomes.
Let’s look at a team which is using Scrum and can’t seem to maintain a consistent velocity. 14, it’s not looking good. After showing that to leadership, everyone agrees that the team needs to be more consistent. But what’s causing the problem? The development team decides to pull data from all the developers across all projects to see if there’s someone in particular who needs help with their work. 15. 15 Joe Developer’s contribution is off the charts, but his team is not performing well. com> 18 CHAPTER 1 Measuring agile performance teams during that time.
Most developers will tell you the lower LOC is much better in this case (unless you’re talking to the developer who wrote the code generator for the former). It’s always important to look at trends and understand that all the data you collect is part of a larger picture that most likely the team in the trenches will understand the best. Providing context and staying flexible when interpreting results is an important part of ensuring successful adoption of change. Don’t freak out if your productivity drops on every Wednesday; maybe there’s some good reason for that.