Notification Retry and Idempotency Code Verification Dataset

#Code Verification #Root-Cause Analysis #Defect Detection #Risk Assessment #Message Delivery #Retry Logic #Idempotent Processing #Failure Recovery

7740
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-03

AI Analysis & Value Prop

This dataset contains source code snippets and verification annotations for notification delivery, retries and backoff, deduplication keys, idempotent writes, and failure recovery. Its fields cover workflows such as notification creation, delivery, acknowledgment, retry, and recovery, with assessments of retry policies, concurrency safety, persistence, and recovery logic. It is designed for code review, defect localization, root-cause analysis, and reliability verification of notification systems.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
source_code	string	A source code snippet to verify, related to notification delivery, retries, or idempotency.
recommended_fix	string	Actionable recommendations for addressing identified retry, deduplication, idempotency, or recovery issues.
confidence_score	number	A quantitative score for confidence in the verification conclusion, typically ranging from zero to one.
test_case_summary	string	A summary of concurrency, timeout, duplicate-message, and failure-recovery tests for reproducing issues and validating fixes.
invalid_retry_risk	boolean	Indicates whether the implementation risks retrying when it should not, exceeding retry limits, or omitting necessary retries.
root_cause_analysis	string	Analysis of the triggering conditions, defect location, concurrency timing, and underlying causes of identified issues.
verification_verdict	string	The overall conclusion of the code verification.
notification_loss_risk	boolean	Indicates whether the implementation risks leaving a notification undelivered, unrecovered, or incorrectly discarded.
implementation_language	string	The primary programming language or technology stack identified from the source code.
retry_policy_assessment	string	Assessment of the maximum retry count, retryable error conditions, stopping conditions, and retry scheduling logic.
verification_annotation	string	Original annotations, execution results, and evidence records produced by manual or automated verification.
duplicate_broadcast_risk	boolean	Indicates whether the implementation risks broadcasting or delivering the same notification more than once.
state_inconsistency_risk	boolean	Indicates whether delivery, storage, or consumption states may become inconsistent.
notification_flow_summary	string	A structured summary of notification creation, delivery, acknowledgment, retry, and recovery flows.
backoff_strategy_assessment	string	Assessment of fixed delays, exponential backoff, jitter, and backoff limit implementation.
failure_recovery_assessment	string	Assessment of recovery and compensation logic for delivery failures, process interruptions, timeouts, and dead-letter handling.
idempotent_write_assessment	string	Assessment of persistent writes, uniqueness constraints, conditional updates, and safety under repeated execution.
deduplication_key_assessment	string	Assessment of deduplication key generation, scope, validity period, and concurrency safety.

Compliance Statement

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

Frequently Asked Questions

What does the dataset contain?: It includes source code for notification delivery and retries, verification results and evidence, and focused assessments of retry policies, backoff, deduplication keys, idempotent writes, and failure recovery.

Which verification tasks can it support?: Use it to assess risks of duplicate broadcasts, lost notifications, invalid retries, and inconsistent states. It also supports code verification, defect detection, root-cause analysis, and fix evaluation.

Does the dataset specify a sample count or programming language range?: The provided field definition does not specify a fixed sample count or programming language range. The dataset includes an implementation language identification field, so coverage can be checked against the delivered data.

How can I obtain the dataset and confirm its license?: Obtain it through the dataset product page or the platform's stated delivery channel, and follow the license terms listed there. Confirm permissions before commercial use, redistribution, or model training.

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Cite this Work

@dataset{Mobiusi2026,
  title={Notification Retry and Idempotency Code Verification Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/7ec937add97db8cc42bb4e10ac8d4c60},
  urldate={2026-10-27},
  keywords={notification retry code,idempotency verification,message delivery retry,notification deduplication,exponential backoff,failure recovery,duplicate broadcast detection,code root-cause analysis},
  version={1.0}
}

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