test-selection

Performs Bazel Target Diffing between two revisions in Git, allowing for Test Target Selection and Selective Building

🚗💻 SDC Tool Competition

Modern dependency-based test selection for Maven, Gradle & JUnit 5

Ekstazi is a Regression Test Selection algorithm. This is a Pytest plugin implementing it.

Six evidence-oriented tools for pi and omp coding agents, compatible with the Jev API format.

Map your test terrain — understand, optimize, and protect your test system with structural intelligence. AI and regular test parity for CI.

Selects only the tests affected by your code changes by mapping per-test runtime coverage against Git diffs, cutting regression suite execution time.

Gradle plugin to run tests with ekstazi - the lightweight test selection library

Run only the tests affected by your changes. Selective test execution inspired by Stripe.

Cut your test time to the minimum. Function-level test impact analysis via static AST for TypeScript, Go, and Rust.

A Static Class-level Regression Test Selection Tool

Open-source test impact analysis for agent-driven CI

Code for "A Multi-Objective Test Selection Tool using Test Suite Diagnosability"

Runs the tests a change can reach, sets the rest aside: safety-first test selection for Gradle from per-test coverage.

Agent triage, measured: does this edit need a human, or can the AI handle it? We measure whether the graph under the agent can reach the tests that guard a change (0.42 pooled, 7 repos) and ship the fail-closed gate that routes unproven maps to human verification. CLI · MCP · SARIF · in-engine on HydraDB.

Catch broken merges between parallel AI coding agents (Claude Code, Codex, cmux, Orca, git worktree). Combines worktree branches, checks conflicts and contract breaks, runs affected tests. Local CLI + MCP server.

Run only the tests affected by your changes — intelligent test selection plugin for Vitest

Impact-analysis and test selection CLI for OpenHarmony ArkUI workspaces. Automates XTS target resolution for changed files.

Graph-powered safety layer for AI coding agents built on FalkorDB. Fast test selection, verified trust scoring, and loop guardrails.

Adaptive Test Intelligence & Assurance for auditing test quality, selecting high-signal tests, localizing failures and expanding confidence by risk.