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What's your system for programming bug classification and prioritization?
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Our team is getting overwhelmed with bug reports and we need a better system for programming bug classification. We're currently just using severity levels (critical, high, medium, low), but that doesn't seem sufficient anymore.
How do you classify and prioritize bugs in your development workflow? I'm looking for a system that considers not just severity but also impact, frequency, and complexity to fix. We need something that helps us decide what to work on next when we have dozens of open issues.
Also, how do you handle the classification of bugs that are actually feature requests in disguise, or issues that are really just user error? Our product team keeps marking everything as "bugs" and it's creating confusion.
We use a more sophisticated system for programming bug classification that includes several dimensions:
1. Severity (how bad is it)
2. Impact (how many users are affected)
3. Frequency (how often does it occur)
4. Workaround availability (can users avoid it)
5. Complexity (how hard to fix)
We score each bug on these dimensions and use a weighted formula to calculate priority. This helps remove personal bias from prioritization.
For distinguishing bugs from feature requests, we have clear definitions. A bug is when the software doesn't do what the specification says it should. A feature request is when someone wants new functionality. We tag issues accordingly during triage.
Our programming bug classification system also considers data impact. We categorize bugs based on whether they affect data integrity, performance, security, or just user experience.
We have a separate category for technical debt" bugs - issues that don't cause immediate problems but could lead to bigger issues later. These get lower priority but we allocate time each sprint to address them.
For user error vs actual bugs, we look at whether the software provides clear feedback. If a user makes a mistake but the software doesn't help them understand or recover from it, that's often a usability bug that needs fixing.
We use a risk-based approach to programming bug classification. We assess each bug based on the risk it poses to the business. This includes factors like regulatory compliance, revenue impact, and brand reputation.
We also track bug trends over time. If we see a particular type of bug appearing frequently, we might prioritize fixing the root cause rather than just fixing individual instances.
For prioritization, we use a modified MoSCoW method: Must fix this sprint, Should fix soon, Could fix if we have time, and Won't fix (with justification). This helps us focus on what's truly important.
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