Cache Expiration and Eviction Code Verification Dataset

#code verification #defect detection #root cause analysis #cache management systems #software defect detection #cache performance optimization
  • 5000
  • 0.3GB
  • JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-10-19

AI Analysis & Value Prop

This dataset contains source code examples involving TTL settings, expiration checks, capacity limits, and eviction strategy interactions in distributed caches. Annotations assess whether implementations handle boundary conditions and cache entry lifecycles correctly, and analyze common defect root causes and potential risks in distributed environments. It supports training and evaluating code verification, debugging, and root-cause analysis models.

Dataset Insights

Sample Examples

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Technical Specifications

FieldTypeDescription
file_namestringFile name
is_correctbooleanIndicates whether the code correctly handles TTL, expiration boundaries, eviction strategies, and entry lifecycles.
source_codestringCache expiration and eviction implementation code to be verified.
defect_root_causestringDescribes common implementation defect causes, or states that no obvious defect was found.
eviction_analysisobjectExplains cache capacity limits, eviction triggers, and the strategy used to select entries for eviction.
boundary_case_resultsarrayValidation results for boundary cases involving TTL, expiration checks, capacity limits, and concurrent interactions.
ttl_expiration_analysisobjectAnalysis of TTL configuration, expiration criteria, and expiration-check logic.
entry_lifecycle_analysisobjectAnalyzes cache entry state changes and cleanup behavior from insertion through expiration, eviction, or deletion.
distributed_cache_risk_analysisobjectAnalyzes potential risks involving expiration and eviction when the code runs in a distributed environment.

Compliance Statement

Authorization TypeProprietary - Commercial AI Training License (No Redistribution)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What cache code does the dataset cover?
It includes source code examples involving TTL configuration and expiration checks, capacity limits, cache eviction strategies, and entry lifecycles, with attention to how these behaviors interact.
What verification annotations are included?
Annotations analyze expiration checks, eviction triggers, boundary cases, and entry state transitions. They also assess implementation correctness, describe common defect root causes, and cover related risks in distributed cache environments.
Which engineering tasks is the dataset suited for?
It can be used to train or evaluate code verification and debugging models, help identify issues in TTL boundary handling, eviction logic, and cleanup behavior, and support cache defect analysis and root-cause workflows.
How can I obtain the dataset, and what are its licensing terms?
Refer to the product listing for the available delivery method, data format, and license terms. Confirm that the license covers your intended use before commercial training, redistribution, or other restricted activities.

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Cite this Work

@dataset{Mobiusi2026,
  title={Cache Expiration and Eviction Code Verification Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/0a05accb39d919756ffc91c4cd5ce9fd},
  urldate={2026-10-10},
  keywords={cache code verification, TTL expiration, cache eviction strategies, distributed caching, code defect analysis, cache boundary testing, entry lifecycle, root cause analysis dataset},
  version={1.0}
}

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