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Code analysis

Code analysis is the systematic examination of source code, compiled code, or program behavior to determine its structure, properties, behavior, or defects.

How 4 Manning books explain it

Troubleshooting Java, Second Edition

A method for examining source code and its execution to understand behavior, identify problems, or support changes.

How it is used
Uses investigation to understand applications, troubleshoot failures, implement capabilities, and learn unfamiliar technologies.
How deep it goes
Descends from method-level reading into hidden instructions while balancing detailed understanding against growing investigation complexity.
Examples
Examines a Java Decoder method that extracts digits from strings and sums them.
What you can do after
Diagnose behavioral differences by tracing execution, forming investigation questions, and choosing where to inspect more deeply.

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Learn AI-Assisted Python Programming, Second Edition

Code reading is the deliberate examination of source code to understand its behavior and locate defects.

How it is used
Uses deliberate examination to understand program behavior and locate defects.
How deep it goes
Explains line-by-line tracing and overall purpose, without descending into implementation internals.
Examples
Uses a Scrabble best_word function and generated-code bugs that testing exposes.
What you can do after
Diagnose/debug with it by tracing execution and identifying a program’s purpose when generated code fails.

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100 Java Mistakes and How to Avoid Them

How it is used
Uses static analyzers during editing, builds, and continuous integration to identify likely mistakes before they reach execution.
How deep it goes
Explains analyzer integration, diagnostic limits, misleading quick fixes, and scoped suppression, but not analyzer implementation internals.
Examples
Uses an out-of-range shift, an intentionally unread debug collection, and narrow suppression comments or annotations.
What you can do after
Diagnose warnings, evaluate quick fixes, integrate analyzers, and suppress intentional diagnostics without hiding future defects.

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Think Like a CTO

Code analysis is the automated examination of source code for quality, correctness, compliance, or security issues.

How it is used
Uses automated quality checks as an acceptance gate before code advances through CI/CD.
How deep it goes
Explains placement and purpose in a pipeline but stops short of analyzing specific rules or findings.
Examples
Uses SonarQube, a develop-branch merge, and a failed pipeline gate as concrete examples.
What you can do after
Apply it via a CI/CD pipeline to flag quality problems before compilation, testing, or deployment.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.