By Christopher W. H. Davis
Venture monitoring structures, attempt and construct instruments, resource keep watch over, 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, strategies, and groups. even supposing the iterative nature of Agile improvement is ideal for data-driven non-stop development, the gathering, research, and alertness of significant metrics frequently fades in desire of subjective measures that supply much less perception into the genuine demanding situations of creating greater software.
Agile Metrics in motion: Measuring and adorning the functionality of Agile groups is a pragmatic ebook that indicates how you can take the knowledge already being generated to make groups, approaches, and items larger. It issues out which metrics to take advantage of to objectively degree functionality and what info quite counts, in addition to the place to discover it, the best way to get it, and the way to research it. The publication additionally exhibits how all group contributors can put up their very own metrics via dashboards and radiators, taking cost of speaking functionality and person responsibility. alongside the best way, it deals useful information research innovations, together with a couple of rising monstrous information practices.
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Additional info for Agile Metrics in Action: Measuring and Enhancing the Performance of Agile Teams
We’ll look at centralized versus decentralized systems, workflows to use to maximize the data you can get from your systems, and key metrics. Chapter 5 shows you the data you can get from your continuous integration (CI) and deployment systems. We’ll look at CI, deployments, and automated test results to analyze the different data you can get from various stages in your build cycle. Chapter 6 shows you the data you can get from your application performance monitoring (APM) system. We’ll look at what your production system can tell you through different types of data and instrumentation that can give you better insight into your systems.
Your team has commitment issues. ■ ■ The commitment represents what the team thought they could accomplish. The team strives for consistent estimation and completion. com> 41 Typical agile measurements using PTS data ■ ■ Scope could be changing in the middle of your development cycle. You may be hitting troublesome tech debt. The key data point behind velocity that we’ll be working with is the estimates your team puts on their tasks. We’ll be diving into estimations later in the chapter and breaking them down against other data points in chapter 7.
The whole point here is that teams should measure themselves, not have some external person or system tell them what’s good and bad. And who doesn’t want to get better? No one is perfect—we all have a lot to learn and we can always improve. Nevertheless here are some arguments I’ve heard as I’ve implemented these techniques on various teams: ■ ■ People don’t like to be measured. When we are children, our parents/guardians tell us we are good or bad at things. In school, we are graded on everything we do.
Agile Metrics in Action: Measuring and Enhancing the Performance of Agile Teams by Christopher W. H. Davis