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Beyond the Numbers: Decoding Metrics for Assessing Client-Side Engineer Impact

This article will delve into metrics that can be used for assessing the impact of client-side engineers. Our aim is to provide a more comprehensive perspective that can be useful when developing performance assessment guides for organizations building full-stack software, ensuring a more balanced and fair evaluation of engineers’ contributions and impact.

Ashwin Raghav Mohan Ganesh Harsha Vardhan Mudumba Venkata
on Nov 10, 2023
Culture & Methods

Agile Rehab: Replacing Process Dogma with Engineering to Achieve True Agility

Struggling with your "agile transformation?" Is your scaling framework not providing the outcomes you hoped for? In this article, we’ll discuss how teams in a large enterprise replaced heavy agile processes with Conway’s Law and better engineering to migrate from quarterly to daily value delivery to the end users.

Bryan Finster
on Oct 27, 2023
Culture & Methods

How Agile Teams Can Improve Predictability by Measuring Stability

In this article, we will present our approach for analysing agile systems as networks of queues and how we have used it to analyse 926 projects in the Public Jira Dataset. We explain how you can measure the Stability Metric (SM) for your queues. Finally, we will present our planned next phase of research.

Rob Healy Brian Fitzgerald Kieran Conboy Tapajit Dey Edwin Lewzey
on Oct 13, 2023
Culture & Methods

Data-Driven Decision Making - Software Delivery Performance Indicators at Different Granularities

Optimizing a software delivery organization is not a straightforward process standardized in the software industry. Getting the organization to analyze the data and act on it is a difficult undertaking. This article presents insights into how a socio-technical framework for optimizing a software delivery organization has been set up and brought to the point of regular use.

Vladyslav Ukis
on May 23, 2023
DevOps

How Not to Use the DORA Metrics to Measure DevOps Performance

The DORA metrics are the de facto measuring stick but they can be used incorrectly and drive poor behavior and performance. When using any metrics, a strong focus on the end goal must be maintained.

David Rant
on Apr 28, 2023
Culture & Methods

Dark Side of DevOps - the Price of Shifting Left and Ways to Make it Affordable

Topics like “you build it, you run it” and “shifting testing/security/data governance left” are popular. Moving things to earlier stages of software development, empowering engineers. Yet, what is the cost? What does it mean for the developers who are involved? What are the solutions that can help you keep DevOps and Shifting Left? What can we do to break a grip of the dark side? Let’s find out!

Mykyta Protsenko
on Apr 21, 2023
DevOps

Improving CI/CD Pipelines through Observability

CI/CD pipelines are a vital addition to any workflow, but they can be further improved by the selective addition of observability. This article covers what data to monitor, which metrics to track, and how to best visualize the collected data.

Craig Risi
on Mar 23, 2023
Culture & Methods

How Skyscanner Embedded a Team Metrics Culture for Continuous Improvement

This article explains why Skyscanner decided not just to deploy a tool, but to think about this as changing their engineering management culture to being one that values and utilises metrics to drive greater improvement at scale. It shows how they evaluated tools to find one that would enable their teams and reinforce the cultural change that was the fundamental goal of this exercise.

Ramsay Ashby Laz Allen
on Mar 08, 2023
DevOps

Moving Past Simple Incident Metrics: Courtney Nash on the VOID

The Verica Open Incident Database (VOID) is assembling publically available software-related incident reports. InfoQ talks with Courtney Nash about their recent findings including how MTT* metrics may not be beneficial, the average time to incident resolution, and the importance of studying near-miss reports.

Courtney Nash Matt Campbell
on Feb 14, 2023
Culture & Methods

How to Use Your Existing Software Development Process Data to Find More Bugs in Less Time

This article presents better solutions that employ data from the system under test and the tests themselves to optimize testing efforts. This allows teams to find more bugs (by making sure that bug-dense areas are tested) in less time (by reducing the executions of tests that are very unlikely to detect bugs).

Elmar Jürgens
on Jan 27, 2023 2
Culture & Methods

Finding Adequate Metrics for Outer, Inner, and Process Quality in Software Development

Implementing a feature can be measured. Quality is harder to measure. This article explores how to balance improving quality and adding new features. It dives into different domains of quality: Outer quality which is owned by the product people (e.g. product owners, testers), inner quality owned by the developers, and process quality owned by managers.

Michael Kutz
on Jan 19, 2023
Culture & Methods

Why Team-Level Metrics Matter in Software Engineering

In a world where everything can have perspective, context and data, it doesn’t make sense to limit that to just part of your software development process. The DORA metrics can provide insight into the health of your development environment, where value is being delivered and opportunities for improvement. Metrics must be used with careful insight to separate the signal from the noise.

Ian Phillipchuk
on Jan 17, 2023