Robotics & Machine Learning Daily News2024,Issue(Jun.28) :75-76.

Studies from Federal University Have Provided New Information about Machine Lear ning (On the Use of Contextual Information for Machine Learning Based Test Case Prioritization In Continuous Integration Development)

联邦大学的研究提供了关于机器学习的新信息(关于在连续集成开发中使用上下文信息进行基于机器学习的测试用例优先排序)

Robotics & Machine Learning Daily News2024,Issue(Jun.28) :75-76.

Studies from Federal University Have Provided New Information about Machine Lear ning (On the Use of Contextual Information for Machine Learning Based Test Case Prioritization In Continuous Integration Development)

联邦大学的研究提供了关于机器学习的新信息(关于在连续集成开发中使用上下文信息进行基于机器学习的测试用例优先排序)

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摘要

机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-关于机器学习的详细数据已经公布。根据NewsRx记者从巴西库里蒂巴发回的新闻报道,研究表明:“在大多数软件组织中,持续集成(CI)是一种常见的做法,通常需要一些预算。因此,在CI周期中优先考虑要执行的测试案例是至关重要的。”这项研究的资助者包括:(CAPES)高级教育人员协会,(CNPQ)国家科学技术发展委员会。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Machine Learning have been prese nted. According to news reporting from Curitiba, Brazil, by NewsRx journalists, research stated, “In most software organizations, Continuous Integration (CI) is a common practice usually subject to some budgets. Consequently, prioritizing t est cases to be executed in the CI cycle is fundamental.” Funders for this research include Coordenacao de Aperfeicoamento de Pessoal de N ivel Superior (CAPES), Conselho Nacional de Desenvolvimento Cientifico e Tecnolo gico (CNPQ).

Key words

Curitiba/Brazil/South America/Algorit hms/Cyborgs/Emerging Technologies/Machine Learning/Federal University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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