In the new era of GenAI-driven testing, software development managers find themselves in a challenging yet promising landscape. The power of artificial intelligence has significantly enhanced our ability to unearth bugs, but it comes with a unique challenge: Vastly more errors are being uncovered than ever before. In this cheat sheet, we’ll explore the art of triage through seven tips that will help development managers efficiently navigate this sea of bugs while prioritizing based on business impact.
1. Embrace the Reality: AI Unearths Every Error
GenAI-driven testing is relentless; It scours through applications-under-test (AUTs) with unparalleled precision, uncovering errors in every nook and cranny. Unlike pre-AI testing, there’s no stone left unturned. This reality sets the stage for effective triage: You will encounter more bugs, and that’s okay.
2. Grouping Errors for Clarity
To manage the influx of bugs, categorize them into logical groups. Classify errors by type, such as validation, behavior, performance, security, etc. This allows for a structured approach to triage, making it easier to tackle issues systematically.
3. Granular Identification
Within each class, further break down errors by identifier. This granular level of identification serves two purposes. Firstly, it facilitates targeted debugging, allowing developers to quickly pinpoint root causes. Secondly, it aids in the triage process by streamlining the assessment of similar problems.
4. The Art of Silence: Not Every Error Needs a Report
While it’s tempting to report every uncovered error, it’s crucial to exercise discretion. Not every error demands immediate attention. Focus on those that have the potential to impact the software’s functionality, stability, or security. This approach prevents developers from being inundated with trivial issues, preserving their time and focus.
5. Quantity Matters: Consolidate Repeated Errors
Rather than inundating developers with individual reports for each occurrence of an error, consolidate them. If a particular error happens multiple times, make it clear in the report. For instance, state that a specific validation error occurred 106 times. This not only streamlines communication but also emphasizes the prevalence of certain issues. Save all the test results (for each example of the error you are reporting) and be ready to provide dev with multiple sets of diagnostics if they ask for them.
6. Prioritize Based on Business Impact
Not all bugs are created equal. Stack rank the reported errors based on their potential business impact. Consider factors such as critical functionality, user experience, and security implications. This prioritization ensures that developers address the most impactful issues first, aligning development efforts with business goals.
7. Mindful Communication: Avoid Overwhelming Development Teams
Effective communication is paramount. When delivering bug reports, be concise and articulate. Clearly convey the potential impact of each issue and provide context on why it matters. Additionally, avoid bombarding development teams with an exhaustive list of bugs. Prioritize quality over quantity in your communication, focusing on the most critical issues.
Conclusion
In the age of GenAI-driven testing, QA and development managers alike must master the art of triage to navigate the surge in bug discoveries. Grouping errors, selective reporting, and prioritizing based on business impact are essential strategies to prevent overwhelming development teams. By implementing these practices, managers can ensure a streamlined and efficient process for addressing bugs, ultimately contributing to the development of robust and high-quality software.