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相关概念视频

Distribution Reliability and Automation01:25

Distribution Reliability and Automation

129
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
129
Quality Assurance01:19

Quality Assurance

155
Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
155
Vebe Test01:22

Vebe Test

173
The Vebe test is a method used to measure the workability of concrete, particularly effective for dry concrete mixes. This test employs a specific apparatus that includes a cylindrical chamber, a standard slump cone, and a transparent disc-shaped rider, all mounted on a vibrating table. The cylindrical chamber has dimensions of nine and a half inches in diameter and eight inches in height.
To conduct the test, concrete is placed into the slump cone. The concrete is filled in layers and...
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Electro-mechanical Systems01:19

Electro-mechanical Systems

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Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
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Testing Water Quality01:14

Testing Water Quality

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When the quality of water for concrete preparation is uncertain, its impact on the setting time of cement and compressive strength of mortar is assessed by comparison with de-ionized or distilled water benchmarks. American Society for Testing and Materials (ASTM) C1602 requires the setting times to be within 90 minutes of the control, British Standard (BS) 3146:1980 allows a 30-minute variance in the initial setting, while British Standards European Norm (BS EN) 1008 specifies initial setting...
135
Econometric Views (EViews)01:29

Econometric Views (EViews)

167
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
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相关实验视频

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Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER
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构建一个开源系统测试生成工具:用EvoMaster学习经验教训和经验分析.

Andrea Arcuri1,2, Man Zhang1, Asma Belhadi1

  • 1Kristiania University College, Oslo, Norway.

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开发人工智能驱动的软件测试工具带来了独特的挑战,特别是对于学术研究人员来说. 这篇论文分享了构建EvoMaster工具的经验,以帮助研究界和改善工业软件测试实践.

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科学领域:

  • 计算机科学 计算机科学
  • 软件工程 软件工程 软件工程
  • 人工智能的人工智能

背景情况:

  • 软件测试研究经常需要开发原型工具.
  • 研究人员通常缺乏工业经验,面临着开发,使用和验证的挑战.
  • 由于它们固有的随机性,人工智能技术 (如进化算法) 出现了特定的问题.

研究的目的:

  • 报告构建开源EvoMaster工具用于系统级测试案例生成的经验.
  • 在研究软件原型中为共同的发展挑战提供具体的解决方案.
  • 促进研究界的发展,增加科学研究对工业实践的影响.

主要方法:

  • 开发开源工具EvoMaster的开发.
  • 应用基于人工智能的技术,特别是进化算法,用于测试案例生成.
  • 解决与软件架构相关的挑战,以实现高效的实验执行.

主要成果:

  • 识别开发和验证软件测试原型的具体挑战.
  • 成功开发了EvoMaster工具,用于企业应用程序系统级测试案例生成.
  • 在经验研究中管理AI技术的随机性方面获得的经验.

结论:

  • 在构建研究原型方面分享实践经验可以显著地使软件测试研究社区受益.
  • 积极应对发展挑战会带来更强大,更有影响力的研究工具.
  • 改进的研究原型可以弥合科学进步和工业软件测试实践之间的差距.