# microsoft/pict

Pairwise Independent Combinatorial Tool

Repository: https://github.com/microsoft/pict
Canonical: https://ross.abutalabs.com/products/pict
Language: C++
License: NOASSERTION
License Family: other
Topics: testing, testing-tools, pairwise-testing, combinatorial-testing
Last push: 2026-08-25T15:45:48+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 8, longevity 100
- inputs: {"age_days": 3974, "days_push": 8, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1462, forks 324 (observed 2026-08-28T04:04:47.648638+00:00)

## What it is
PICT is a command-line tool from Microsoft that generates compact pairwise (combinatorial) test cases from a model file of parameters and values. It also includes a benchmark harness for measuring suite sizes across randomized seeds.

## Use cases
- generate pairwise test cases from a parameter model
- reduce thousands of configuration combinations to a manageable test suite
- generate test configurations for system setup scenarios
- benchmark combinatorial test generation across random seeds
- design combinatorial coverage test suites

## When to choose
- you need efficient pairwise or combinatorial test coverage
- exhaustive testing of parameter combinations is impractical
- you want a fast, scriptable CLI for test case generation

## When to avoid
- you need fully exhaustive combination testing
- you require a GUI-based test management tool
- you need pairwise testing integrated directly into a test framework

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: testing, benchmarking, cli
- domain: testing, developer-tools
- platform: windows, cross-platform, cli
- tags: pairwise-testing, combinatorial-testing, test-case-generation, command-line, linux, macos

## Member repositories
- microsoft/pict (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:47.648638+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:35:18.360225+00:00, confidence not recorded.
  - readme: https://github.com/microsoft/pict (fetched 2026-08-28T04:04:47.648638+00:00, sha 840c45e888e7)
- Data as of 2026-08-30T08:39:29.467469+00:00.