Struct BrainMethodAnalyzer 

pub struct BrainMethodAnalyzer {
    pub min_lines: usize,
    pub min_complexity: usize,
    pub min_external_refs: usize,
}

Detect Brain Methods using the detection strategy from [1]:

(LOC > High/2) AND (CYCLO >= High) AND (MAXNESTING >= Several) AND (NOAV > Many)

Since cha does not track MAXNESTING, we use a three-metric variant:

(LOC > 65) AND (CYCLO >= 4) AND (NOAV > 7)

References

[1] M. Lanza and R. Marinescu, “Object-Oriented Metrics in Practice: Using Software Metrics to Characterize, Evaluate, and Improve the Design of Object-Oriented Systems,” Springer, 2006. doi: 10.1007/3-540-39538-5. Chapter 6.2. Thresholds derived from Table A.2 (45 Java projects): LOC High = 130, CYCLO High ≈ 3.1, Several = 3, Many = 7–8.

Fields

min_lines: usize

LOC threshold (High/2 = 65)

min_complexity: usize

CYCLO threshold (High ≈ 4)

min_external_refs: usize

NOAV threshold (Many = 7)

Trait Implementations

impl Default for BrainMethodAnalyzer

fn default() -> Self

Returns the “default value” for a type.

impl Plugin for BrainMethodAnalyzer

fn name(&self) -> &str

Unique identifier for this plugin.

fn description(&self) -> &str

Short description of what the plugin detects.

fn analyze(&self, ctx: &AnalysisContext<'_>) -> Vec<Finding>

Run analysis on a single file and return findings.

fn version(&self) -> &str

Plugin version (e.g. “1.0.0”).

fn authors(&self) -> Vec<String>

List of authors.