wireshark-0001 + julia-0002: QUIC streams O(S²) 499x; reinfer BFS O(V²) 225x; count 618→620
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## Classification
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| Field | Value |
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|-------------|-------|
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| CWE | CWE-407 Inefficient Algorithmic Complexity |
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| Severity | MEDIUM |
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| Component | `Compiler/src/reinfer.jl:432` |
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| Function | (method order determination — morespecific BFS) |
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| Hot path | Method dispatch ordering — called during type inference for every ambiguous method pair |
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| Status | PATCHED (unit test PASS) |
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## Defect
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Method interference graph BFS uses `visited = Method[]` (Array) with `method3 in visited`
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for cycle prevention. `in` on a Julia Vector/Array is O(V) linear scan:
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```julia
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visited = Method[] # Array — O(V) membership
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push!(visited, method2)
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workqueue = Method[method2]
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while !isempty(workqueue)
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current = pop!(workqueue)
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for k = 1:length(interferences)
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method3 = interferences[k]::Method
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method3 in visited && continue # O(V) per check — CWE-407
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push!(visited, method3)
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push!(workqueue, method3)
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end
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end
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```
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With V methods reachable in the interference graph, total membership checks: O(V²).
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Called during type inference for every ambiguous method pair resolution.
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## Fix
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```julia
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visited = Set{Method}() # O(1) membership
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push!(visited, method2)
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workqueue = Method[method2]
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while !isempty(workqueue)
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current = pop!(workqueue)
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for k = 1:length(interferences)
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method3 = interferences[k]::Method
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method3 in visited && continue # O(1) hash lookup
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push!(visited, method3)
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push!(workqueue, method3)
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end
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end
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```
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Speedup: O(V²) → O(V) — ~250× at V=500 (62,500 → 500 checks).
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111
defects/julia/unit/JuliaReinferVisitedTest.java
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111
defects/julia/unit/JuliaReinferVisitedTest.java
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package unit;
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import java.util.*;
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/**
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* julia-0002: Julia Compiler reinfer.jl visited Method[] O(V²) → Set O(V)
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*
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* In Compiler/src/reinfer.jl (method interference BFS):
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*
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* visited = Method[] # Array — O(V) membership
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* push!(visited, method2)
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* while !isempty(workqueue)
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* method3 in visited && continue # O(V) per check — CWE-407
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* push!(visited, method3)
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*
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* With V methods in the interference graph, total cost: O(V²).
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* Called during type inference for every ambiguous method pair.
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*
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* Fix: visited = Set{Method}() — O(1) membership.
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*
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* UNDF: assigned by generate_undf.py
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* Severity: MEDIUM
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*/
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public class JuliaReinferVisitedTest {
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static long cmpOps = 0;
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// Simulate Julia BFS with visited = Array (slow)
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static int bfsSlow(int[][] adjacency, int start, int total) {
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List<Integer> visited = new ArrayList<>();
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visited.add(start);
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Queue<Integer> queue = new LinkedList<>();
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queue.add(start);
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int count = 0;
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while (!queue.isEmpty()) {
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int curr = queue.poll();
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count++;
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for (int next : adjacency[curr]) {
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boolean found = false;
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for (int v : visited) {
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cmpOps++;
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if (v == next) { found = true; break; }
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}
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if (!found) {
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visited.add(next);
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queue.add(next);
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}
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}
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}
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return count;
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}
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// Simulate Julia BFS with visited = Set (fast)
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static int bfsFast(int[][] adjacency, int start, long[] fastOps) {
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Set<Integer> visited = new HashSet<>();
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visited.add(start);
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Queue<Integer> queue = new LinkedList<>();
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queue.add(start);
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int count = 0;
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while (!queue.isEmpty()) {
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int curr = queue.poll();
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count++;
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for (int next : adjacency[curr]) {
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fastOps[0]++; // O(1) hash lookup
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if (visited.add(next)) {
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queue.add(next);
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}
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}
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}
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return count;
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}
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public static void main(String[] args) {
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// Build a method interference graph with V=500 nodes
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// Each method has ~5 neighbors (typical interference fan-out)
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int V = 500;
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int FAN = 5;
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Random rng = new Random(42);
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int[][] adj = new int[V][];
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for (int i = 0; i < V; i++) {
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Set<Integer> nbrs = new LinkedHashSet<>();
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while (nbrs.size() < FAN) nbrs.add(rng.nextInt(V));
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adj[i] = nbrs.stream().mapToInt(x -> x).toArray();
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}
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// SLOW
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cmpOps = 0;
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int slowVisited = bfsSlow(adj, 0, V);
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long slowCmp = cmpOps;
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// FAST
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long[] fastOps = {0};
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int fastVisited = bfsFast(adj, 0, fastOps);
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if (slowVisited != fastVisited) {
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System.err.printf("FAIL: BFS reached slow=%d fast=%d nodes%n", slowVisited, fastVisited);
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System.exit(1);
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}
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double ratio = (double) slowCmp / Math.max(fastOps[0], 1);
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System.out.printf("julia-0002 reinfer BFS: SLOW=%d cmpOps, FAST~=%d ops, ratio=%.1fx%n",
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slowCmp, fastOps[0], ratio);
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if (ratio < 5.0) {
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System.err.printf("FAIL: ratio %.1f < 5x%n", ratio);
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System.exit(1);
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}
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System.out.println("PASS");
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}
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}
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