behavior-driven development
PulseAugur coverage of behavior-driven development — every cluster mentioning behavior-driven development across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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AI streamlines Playwright test automation by auto-generating resilient locators
An experienced test automation engineer proposes three methods for integrating Large Language Models (LLMs) into QA workflows to address the common issue of locator rot in Playwright test suites. These methods include u…
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Author favors BDD over SDD for agentic AI development
The author advocates for behavior-driven development (BDD) over software design documents (SDD) for agentic development. BDD, using executable Gherkin scenarios, offers a more practical workflow for building features. T…
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Yadda 3.0.0 integrates behavior-driven development with AI agents
Yadda 3.0.0 has been released, focusing on behavior-driven development (BDD) within the context of AI agents. This new version aims to adapt BDD practices for the evolving landscape of artificial intelligence. The relea…
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New system teLLMe aids causal analysis of urban driving data
Researchers have developed teLLMe, a system designed for exploratory causal analysis of urban driving data. This system leverages a schema-aware LLM to translate natural-language questions about traffic events into stru…
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Spec-Driven Development (SDD) emerges as a new standard for AI coding
Spec-Driven Development (SDD) is presented as a method for AI coding where the specification document serves as the ultimate source of truth. This approach aims to clarify the workflow, differentiate itself from Test-Dr…
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AI identifies refactoring candidates in BDD test suites
Researchers have developed a novel method to identify and categorize refactoring opportunities within behavior-driven development (BDD) test suites. By employing machine learning classifiers and Large Language Model (LL…
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Conformal prediction enhances object detection uncertainty
Researchers have developed a new method for probabilistic object detection using conformal prediction, enhancing uncertainty quantification for safety-critical applications like autonomous driving. This approach adapts …