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Analyze Test Results and Improve Quality

Analyze test results, calculate quality metrics, and identify patterns for improved software quality. Automates test analysis.


88
Spark score
out of 100
Status Verified Official
Updated 21 days ago
Version 1.0.0

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Why it matters

Automate the analysis of test execution data to identify patterns, calculate quality metrics, and provide actionable insights for improving software testing effectiveness.

Outcomes

What it gets done

01

Parse various test result file formats (XML, JSON, TAP, JUnit).

02

Calculate key metrics like pass rates, failure rates, and execution times.

03

Identify flaky tests, performance regressions, and critical issues.

04

Generate comprehensive reports with actionable recommendations.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-test-results-analyzer | bash

Overview

Test Results Analyzer

The Test Results Analyzer Agent autonomously processes test execution data from various formats (XML, JSON, TAP, JUnit). It extracts detailed results, calculates key quality metrics (pass rates, execution times, stability), identifies patterns like frequent failures and performance regressions, and assesses test suite health and coverage. The agent generates a comprehensive report with actionable insights and recommendations. Use the Test Results Analyzer Agent when you need to gain a deep understanding of your test suite's performance and effectiveness. It is ideal for identifying flaky tests, performance regressions, coverage gaps, and areas for optimization to improve overall software quality and testing efficiency.

What it does

When I need to understand the quality and effectiveness of my software tests, I want to automatically analyze test execution data to identify issues and areas for improvement, so that I can enhance testing efficiency and overall software quality. The agent scans for test result files (XML, JSON, TAP, JUnit), parses them to extract results, execution times, and error messages, calculates key metrics like pass rates and execution time statistics, identifies patterns such as frequently failing tests and performance regressions, and assesses overall test suite quality. It generates a comprehensive report including an executive summary, detailed metrics, quality analysis, critical issues, recommendations, and trend analysis.

Test Execution Summary:
- Total Tests: X
- Passed: X (X%)
- Failed: X (X%)
- Skipped: X (X%)
- Errors: X (X%)
- Total Execution Time: Xm Xs
- Average Test Time: Xs

FAQ

Common questions

Discussion

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