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Code Review [Eng, 2018]

Code Review [Eng, 2018]

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Why is automatic code analysis important?

It makes review subjective

It reduces reviewers time

It collects statistics for management

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Will SonarQube work for your project out of the box?

Yes, it will work. SonarQube patented AI engine automatically detects over 30 languages automatically and have automatic detection for the most of the existing build tools

No, it is required to set up scanners to scan your sources and setup rules according to your conventions

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Which parts SonarQube consist of:

The SonarQube server

The SonarQube database

The SonarQube Load Balancer

The SonarQube Reporting Server

The SonarQube Agents

The scanners

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Which strategic questions can answer SonarQube?

How many issues needed to be fixed

What the most frequent code issues

What is the current health of my project(size of technical debt)

What are the trends of the issues/technical debt growth

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Which tactical questions can answer SonarQube?

Who is the buggiest developer?

What is the most important issue/s to fix now?

What is the size of the project?

How many days needed to fix existing technical debt?

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What types of metrics can collect and visualize SonarQube out-of-the-box?

Duplications

Number of refactoring

None of the above

Code Smells

Successful test runs

Structure

Bugs & vulnerabilities

Size

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What should guide reviewer in lightweight code review process:

ISO 27001 specification

Microsoft Style Guide

Checklist

OWASP Top ten list

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What types of tool-assisted code review you know:

Changeset (or change list)

ReviewBoard

GitHub

Post-commit reviews

Pull request

CI WebHooks

Pre-commit reviews

Artifacts selected in custom way

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Can juniors review TL code?

No

Yes

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What to do if I cannot dedicate my code review request into one problem?

Cancel code review request

Redo your work by creating smaller chunks for review

Set up several sessions and review code chunk by chunk

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