Explore a powerful approach to prioritizing technical debt in software projects through this insightful conference talk. Delve into the challenges of managing technical debt in large-scale systems with millions of lines of code and multiple development teams. Learn how to mine collective intelligence and uncover evolutionary patterns within a system. Examine a case study of the .NET Core Runtime and discover techniques like Hotspots X-Ray to identify areas of concern. Understand concepts such as normalization of deviance and temporal coupling. Investigate the microservices shotgun surgery pattern and its implications. Gain insights into measuring team coordination, the diffusion of responsibility, and Conway's Law in software development. Analyze the potential pitfalls of feature teams and acquire strategies to effectively prioritize and address technical debt in complex software projects.
A Crystal Ball to Prioritize Technical Debt
Overview
Syllabus
Intro
Questioning Technical Debt
Collective Intelligence Uncover Evolutionary Patterns In A System
Case Study: The .NET Core Runtime
Hotspots X-Ray
Normalization of Deviance
Hotspots Summary
Specify Your Logical Components
Temporal Coupling
The Microservices Shotgun Surgery Pattern
Process Loss
Measure Team Coordination The Diffusion of Responsibility
Measuring Conway's Law
The Perils of Feature Teams
Taught by
GOTO Conferences
