During a peer analysis, you discover a data handling process that triggers conflicts when multiple processes connect. Which step addresses the concurrency problem before merging changes into the main branch?
Merge the changes and rely on existing tests to detect conflicts
Explain the hazard to the contributor and ask for corrections before final acceptance
Give partial approval so the contributor can handle the concern after deploying the code
Reject changes until another team reworks them instead of providing feedback
Requesting more details and revisions highlights the concurrency hazard. This approach offers the developer a chance to refine the function before acceptance. Overlooking or merging changes without discussing the hazard creates difficulties later, and deferring the problem to another team or stage avoids an opportunity for improvement.
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What does 'concurrency problem' mean in software processes?
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Why is it important to explain hazards to contributors during a peer analysis?
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What are common methods for resolving concurrency issues in code?