TestForge: Feedback-Driven, Agentic Test Suite Generation

• URL: http://arxiv.org/abs/2503.14713v1
• Date: Tue, 18 Mar 2025 20:21:44 GMT
• Title: TestForge: Feedback-Driven, Agentic Test Suite Generation
• Authors: Kush Jain, Claire Le Goues,
• Abstract summary: TestForge is an agentic unit testing framework designed to cost-effectively generate high-quality test suites for real-world code.<n>TestForge produces more natural and understandable tests compared to state-of-the-art search-based techniques.
• Score: 7.288137795439405
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Automated test generation holds great promise for alleviating the burdens of manual test creation. However, existing search-based techniques compromise on test readability, while LLM-based approaches are prohibitively expensive in practice. We present TestForge, an agentic unit testing framework designed to cost-effectively generate high-quality test suites for real-world code. Our key insight is to reframe LLM-based test generation as an iterative process. TestForge thus begins with tests generated via zero-shot prompting, and then continuously refines those tests based on feedback from test executions and coverage reports. We evaluate TestForge on TestGenEval, a real world unit test generation benchmark sourced from 11 large scale open source repositories; we show that TestForge achieves a pass@1 rate of 84.3%, 44.4% line coverage and 33.8% mutation score on average, outperforming prior classical approaches and a one-iteration LLM-based baseline. TestForge produces more natural and understandable tests compared to state-of-the-art search-based techniques, and offers substantial cost savings over LLM-based techniques (at $0.63 per file). Finally, we release a version of TestGenEval integrated with the OpenHands platform, a popular open-source framework featuring a diverse set of software engineering agents and agentic benchmarks, for future extension and development.

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