SoftwareTesting.ai

Focus on Building Features. Not Fixing Bugs.

Freemium

Description

SoftwareTesting.ai is a code quality platform designed to assist developers in enhancing their software testing processes. The system intelligently analyzes codebases to identify areas where test coverage may be lacking and pinpoints potential gaps. By doing so, it aims to ensure that critical parts of an application are thoroughly tested. The platform provides suggestions on how to resolve these coverage gaps, enabling development teams to have greater confidence in their code quality while maintaining a quick shipping cadence.

Integrated into the software development lifecycle, particularly with GitHub Pull Requests, SoftwareTesting.ai provides feedback on current testing coverage and helps generate test cases. This allows developers to focus more on building new features rather than spending extensive time on fixing bugs or manually identifying testing deficiencies. The tool offers insights through coverage summary reports, helping teams understand their code's quality and make informed decisions to improve it.

Key Features

Test Coverage Detection: Intelligently analyzes your codebase to identify areas where test coverage is lacking and pinpoints potential gaps.
Test Coverage Suggestions: Provides AI-driven solutions for testing gaps and offers feedback on current testing coverage, integrated into GitHub PRs.
Automated Test Case Assistance: Helps quickly increase code coverage by suggesting test cases to fill identified gaps.
SDLC Integration: Seamlessly integrates into the GitHub Pull Request flow, providing inline feedback.
Code Quality Analytics: Delivers coverage summary reports to help developers understand and track their code's test coverage situation.
PR Comments: Automatically adds comments to Pull Requests with insights and suggestions for improving test coverage.

Use Cases

Identifying and filling gaps in software test coverage.
Improving code quality and reducing bugs before production.
Accelerating development cycles by automating aspects of test creation and suggestion.
Enhancing developer confidence in code deployments through better testing.
Streamlining code reviews with automated test coverage feedback within GitHub.
Tracking and reporting on test coverage improvements over time for projects.

Frequently Asked Questions

We are already tracking code coverage metrics, why do I need SoftwareTesting.ai?

While tracking code coverage metrics is essential, SoftwareTesting.ai goes further by not just providing data but also actively suggesting specific improvements to fill code gaps. It integrates directly with GitHub, offers automated comments on pull requests, and recommends actionable steps, turning metrics into productive actions. This helps reduce manual review time and leads to faster development cycles and higher code quality.

How accurate are SoftwareTesting.ai suggestions?

SoftwareTesting.ai suggestions are designed to consistently provide a starting point tailored for specifically resolving your code coverage gap(s). The objective is to empower you to cover the code coverage gap much more efficiently than working on it from scratch.

How do I get started with SoftwareTesting.ai?

The best way to get started with SoftwareTesting.ai is to follow the Quick Start Guide available on their documentation website.

What languages and testing frameworks does SoftwareTesting.ai support?

Currently, SoftwareTesting.ai supports Javascript and Typescript using the Jest testing framework. The company plans to support more testing frameworks and languages in the future. Users can request new framework/language support by contacting justin@softwaretesting.ai.