audit-feature-interaction
Testing & QualityAnalyze feature interaction pairs and triples for concurrent defects
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Analyze the cache for defects arising from multiple features operating simultaneously on the same entry.
Assume at least one feature interaction bug exists. If your analysis yields zero findings, re-examine the top-priority pairs below — explain specifically why no interleaving produces a bug.
Priority ranking (from confirmed historical bugs):
- Refresh + expiration (D+B) — most-bugged interaction historically
- Reference collection + any feature (C+*) — value reference visibility
- Async completion + any feature (F+*) — future lifecycle edge cases
- Eviction + weight change (A+H) — counter drift during transitions
Features: A. Eviction (size/weight limit exceeded) B. Expiration (afterAccess, afterWrite, variable) C. Reference collection (weak key, weak value, soft value GC) D. Refresh (automatic reload) E. Loading (CacheLoader / computeIfAbsent) F. Async completion (CompletableFuture values) G. Listener notification (removal listener, eviction listener) H. Weight change (Weigher returning different weight for new value)
For each pair (A,B), (A,C), ..., (G,H) — 28 pairs total:
- Can both features trigger simultaneously on the same entry?
- If yes, construct the most adversarial interleaving.
- Trace step-by-step: correct processing? notifications? final state? cleanup?
After all pairs, identify highest-risk TRIPLE interactions:
- Eviction + expiration + listener exception
- Refresh + async completion + GC collection
- Weight change + eviction + compute
High-risk pairwise combinations:
- Eviction during refresh (entry evicted while refreshing)
- Expiration during compute (entry expires mid-computation)
- GC during async completion (future completes after weak ref collected)
- Weight change during eviction
- Listener exception during any other feature
For each defect: state the features involved, provide the interleaving, state the incorrect behavior.