Remove Continuous Integration Remove Metrics Remove Test-Driven Development
article thumbnail

DevOps top programming languages support engineering metrics goals

CircleCI

One of the privileges of working in the continuous integration space is the unique perspective it offers into how software teams organize their work to deliver value quickly without sacrificing quality, security, or developer happiness. Throughput: The average number of workflow runs per day.

Metrics 64
article thumbnail

Unraveling the Power of Jest: A Comprehensive Guide

InnovationM

Code Coverage Importance of Code Coverage : Explanation of code coverage metrics and their importance in evaluating the effectiveness of test suites. Understanding Code Coverage Metrics : Interpreting code coverage metrics such as statement coverage, branch coverage, and function coverage.

article thumbnail

Discover 2022 DevOps trends with CircleCI data report

CircleCI

Focusing on testing, whether it’s practices like test-driven development (TDD), or integrating validation into your normal development process at all phases of the SDLC, will give you confidence, even when headcount is low. Happy developers and great software delivery are not mutually exclusive.

Report 98
article thumbnail

Unit testing vs integration testing

CircleCI

So while developers may debate the relative importance of unit tests and integration tests, it is in your team’s best interest to find the ideal place to use both in your continuous integration pipelines. Before you can do that, though, you need to understand the basics of both types of testing.

Testing 115
article thumbnail

Functional vs non-functional software testing

CircleCI

Functional testing suites are the more strictly necessary of the two categories. The implementation details and performance metrics that non-functional testing targets are often secondary matters of refinement. A robust testing methodology also accounts for these factors, especially if scaling is a priority. Conclusion.

article thumbnail

Well-tested code: in search of meaningful coverage

CircleCI

Many teams consider testing to be part of “finished” work, yet still struggle to find a metric for the quality and completeness of their tests. Code coverage is a standard measure of test suite completeness. This metric provides a degree of confidence in our tests’ completeness. Security scans.

article thumbnail

GSAS 2023: The Third Edition

Apiumhub

Ben is the author of seven books, including “The Well-Grounded Java Developer”, “Optimizing Java” and the new editions of “Java in a Nutshell” Nathaniel Schutta: Software Architect & Professor at the University of Minnesota.