Agile Metrics in Action: Measuring and Enhancing the by Christopher W. H. Davis

By Christopher W. H. Davis

Undertaking monitoring platforms, attempt and construct instruments, resource regulate, non-stop integration, and different integrated elements of the software program improvement lifecycle generate a wealth of information that may be used to trace and increase the standard and function of goods, methods, 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 prefer of subjective measures that provide much less perception into the true demanding situations of constructing higher software.

Agile Metrics in motion: Measuring and adorning the functionality of Agile groups is a realistic e-book that exhibits how you can take the knowledge already being generated to make groups, procedures, and items greater. It issues out which metrics to exploit to objectively degree functionality and what info relatively counts, in addition to the place to discover it, find out how to get it, and the way to investigate it. The publication additionally exhibits how all staff participants can submit their very own metrics via dashboards and radiators, taking cost of speaking functionality and person responsibility. alongside the way in which, it deals functional info research ideas, together with a couple of rising tremendous info practices.

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By combining data from multiple systems in your SDLC, you can answer bigpicture questions. By using mind mapping you can break questions down into small enough chunks to collect data. By using simple techniques, measuring agile performance isn’t so hard. Showing metrics to your teammates easily demonstrates value and can easily facilitate buy-in. Chapter 2 puts this in action through an extended case study where you can see a team applying these lessons firsthand. com> Observing a live project This chapter covers ■ Tracking progress of multiple development efforts ■ Using Elasticsearch (EC) and Kibana to track and visualize metrics over time ■ Communicating progress back to leadership ■ Using data to improve day-to-day operations In chapter 1 we walked through some of the concepts around agile development and saw how a team is typically measured, looked at problems that crop up, and got an overview of how to solve those problems.

3 Problem: data is all over the place without a unified view Your team is generating a lot of data throughout your entire software development lifecycle (SDLC). 4 shows the components that are typically used by an agile software delivery team. The first problem is there is no standard for any of these boxes. There are several project-tracking tools, plus different source control and continuous integration (CI) systems, and your deployment and application-monitoring tools will vary depending on your technology stack and what you’re delivering to your consumers.

The development team was having success with their data visualization, so they decided to experiment to try to get an idea of the properties of their codebase without having intimate knowledge of it. com/CodeFlower/). CodeFlowers for a new perspective CodeFlowers are one example of visualizing your codebase in a very different way. We’ll touch on them here and come back to different data-visualization and communication possibilities later in chapter 9. First, the development team generated a CodeFlower on one of their newly built, modular, and welltested web service projects.

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