How deeply does The Art of Code cover dynamic analysis?

Defines runtime observation and names measurement tools, but stops short of explaining instrumentation or analysis procedures.

Dynamic analysis

As explained in The Art of Code

Dynamic analysis is the examination of software by observing its behavior during execution.

Dynamic analysis examines software while it runs, using observed runtime behavior rather than source code alone. It can measure energy consumption and environmental impact. section 8.5.2

Practical applications include:

Use microbenchmarks to measure small code snippets in isolation. section 8.5.2
Use profilers to inspect CPU behavior and memory allocation in greater detail. section 8.5.2
Treat environmental-impact plugins and research prototypes cautiously when multiplatform support or maintenance is uncertain. section 8.5.2

Tool choices by ecosystem

Java developers can use JMH for microbenchmarks and VisualVM, JDK Flight Recorder with Mission Control, or Async-Profiler for deeper runtime analysis. Python developers can use pytest-benchmark or py-spy. section 8.5.2

How The Art of Code covers it

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Related concepts

static analysiscontrasts with · Static analysis is the examination of source code or other program artifacts without executing the program to infer properties or identify potential issues.
testkind of · A test is a procedure or check that evaluates behavior using specified inputs or evidence against expected results or criteria.
infrastructure resourceuses · An infrastructure resource is an identifiable supporting component or service that provides technical capabilities on which applications or other system components depend.

This explainer was generated by Manning's knowledge graph from the text of The Art of Code. The section links point to the parts of the book it draws on.