Software Testing with Large Language Model: Survey, Landscape, and VisionPre-trained large language models (LLMs) have recently emerged as a breakthrough technology in natural language processing and artificial intelligence, with the ability... J Wang,Y Huang,C Chen,... - 《Arxiv》 被引量: ...
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testing Large Language Models (LLMs), audit machine learning systems (especially for applications to health) and Quantum systems (programs, computers, and simulators). Diversity on testing: diverse generation, selecting diverse test suites, foundations of testing and diversity, applications of entropy ...
[2023/11] Intent-Driven Mobile GUI Testing with Autonomous Large Language Model Agents. Yoon et al. ICST. [paper] [repo] [2023/10] Make LLM a Testing Expert: Bringing Human-like Interaction to Mobile GUI Testing via Functionality-aware Decisions. Liu et al. ICSE. [paper] [2023/10] AXN...
Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions. Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 15.7 days after submission; acceptance to publication is undertaken in 2.6 days (med...
PostHog - Product analytics, session recording, feature flagging and a/b testing that you can self-host (alternative to Mixpanel/Amplitude/Heap/HotJar/Optimizely). (Source Code) MIT Python Postiz ⚠ - Schedule posts, track the performance of your content, and manage all your social media acco...
Explore and run machine learning code with Kaggle Notebooks | Using data from Game Recommendations on Steam
with the beginning planning and requirements gathering step as the center point. Each loop or phase represents the entire software delivery cycle. At the start of each new phase, teams can modify requirements, review testing and adjust any code as needed. The spiral model offers risk-management ...
Are LLMs ready to do astronomy? Lindsay Oldham Research Highlights16 Dec 2024Nature Astronomy Volume: 8, P: 1498 Lessons for local oversight of AI in medicine from the regulation of clinical laboratory testing Current regulatory frameworks for artificial intelligence-based clinical decision support (AI...
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