SWE-Lancer

SWE-Lancer is a benchmark test consisting of over 1400 freelance software engineering tasks, with a total value of $1 million USD.

InternationalSelectionProgrammingBenchmarkSoftware Engineering

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SWE-Lancer, launched by OpenAI, is a benchmark designed to assess the performance of cutting-edge language models in real-world freelance software engineering tasks. This benchmark encompasses a range of independent engineering tasks, from $50 bug fixes to $32,000 feature implementations, as well as managerial tasks such as selecting between technical implementation options. By mapping model performance to monetary value, SWE-Lancer offers a new perspective on researching the economic impact of AI model development and promoting the advancement of related research.

Offers over 1400 real-world freelance software engineering tasks
covering a wide range of difficulty and value.
Includes independent engineering tasks and management decision tasks for comprehensive model capability assessment.
Independent tasks are scored through end-to-end testing triple-verified by experienced software engineers.
Management decision tasks are evaluated by comparing against the choices of original hired engineering managers.
Provides open-source unified Docker images and public evaluation splits for future research.
Presents the economic potential of AI models intuitively by mapping model performance to task value.
Supports quantitative analysis of the performance of cutting-edge models in actual software engineering tasks.
Offers researchers a standardized testing environment and dataset
promoting technological development.

SWE-Lancer is designed for researchers
developers
and enterprises to evaluate and study the practical application capabilities and economic value of AI models in software engineering. It provides insights into model performance in solving real-world software engineering tasks
driving technological advancements and innovation. Furthermore
SWE-Lancer serves as a powerful tool for exploring the economic impact of AI within the software development industry.

Researchers can use SWE-Lancer to evaluate the performance differences of various AI models in solving software engineering tasks
providing a basis for model optimization and improvement.
Developers can use this benchmark to understand the performance of AI models in actual software development tasks
exploring how to better integrate AI technology into the development process.
Enterprises can use SWE-Lancer to evaluate the economic value of AI models in software engineering tasks

Access the SWE-Lancer open-source repository to obtain the relevant Docker images and test datasets.
Set up your local development environment
ensuring the Docker environment is functioning correctly.
Integrate the AI model to be evaluated into the SWE-Lancer testing framework.
Run the test tasks; the model will sequentially process various software engineering tasks.

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SWE-Lancer Visit Over Time

Monthly Visits

558288437

Bounce Rate

58.48%

Page per Visit

2.2

Visit Duration

00:01:52

SWE-Lancer Visit Trend

SWE-Lancer Visit Geography

SWE-Lancer Traffic Sources

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