Testing in a CI/CD pipeline involves various types of tests at different stages including unit tests, integration tests, user acceptance tests, load tests, and disaster recovery tests. The document outlines different types of tests like unit testing, functional testing, integration testing, user interface testing, A/B testing, penetration testing, performance testing, system testing, smoke testing, and disaster recovery testing that are commonly used at stages like development, QA, staging, and production. Mabl uses machine learning to help simplify and improve CI/CD testing pipelines.

1. TestinginCI/CDPipeline
User Acceptance
Ad Hoc
Smoke Tests
Production
Acceptance
Disaster
Recovery Tests
Development
Unit Tests
Local UI Tests
Q / A
Functional Tests
Integration Tests
Independent
UI Tests
Release
A / B Tests
Penetration Tests
System
& Performance
Monitoring
Staging
System Testing
Performance
& Load Testing
Unit Testing
Testing specific
functionality at the
source code level
Local UI Testing
Testing UI on a
local machine
Functional Tests
Testing what a
system does by
testing the specific
artifacts available
Integration Tests
Tests to ensure that
application as well as
associated
components and
services function
correctly together
Independent UI Tests
UI testing done on
central webserver or
non-local machine
A / B Tests
Testing two variants
of the same
functionality for
customer reaction
Penetration Tests
Testing an application
for vulnerabilities an
attacker could exploit
System & Performance
Monitoring
Testing how an
application and core
components are
performing in a
production environment
Performance
& Load Testing
Testing simulated
user behavior and
load to make sure a
system works as
expected at scale
System Testing
Testing to insure
each component and
service within a
system are
working together
Disaster Recovery Tests
Tests to insure the
application operates
gracefully when
large scale system
failures occur
Smoke Testing
Ad hoc tests typically
done manually to
insure basic
functionality of an
application works
mabl uses machine learning to help simplify
and improve your CI/CD testing pipeline.
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