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相关概念视频

Quality Assurance01:19

Quality Assurance

167
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...
167
Quality Control01:05

Quality Control

206
Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
206
Data Validation01:15

Data Validation

194
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
194
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

6.3K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
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Lumber Defects01:23

Lumber Defects

163
Lumber defects, which can affect both the appearance and structural integrity of wood, include a variety of growth and manufacturing flaws. Growth defects such as knots and knotholes occur where branches were once attached to the tree trunk, with knotholes forming when these knots fall out. Other natural defects include decay and insect damage, which compromise the wood's strength and durability.
Shakes are minor fractures that run along or across the wood's annual rings, while wane is...
163
Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

1.7K
Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
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相关实验视频

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元素质量指标:用于软件要求规范的质量评估和缺陷检测方法.

Qiang Zhi1, Li Gong1, Jianguo Ren1

  • 1School of Computer Science and Technology, Jiangsu Normal University, China.

Heliyon
|May 30, 2023
PubMed
概括

元素质量指标 (EQI) 有效地检测软件要求规范 (SRS) 中的缺陷. 这种新的方法在一项受控的学生实验中被证明是100%有效且优于传统技术.

关键词:
在 SRS 审查中,SRS 审查.软件工程 软件工程 软件工程软件质量 软件质量软件要求 软件要求

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科学领域:

  • 软件工程 软件工程 软件工程
  • 软件质量保证 软件质量保证
  • 要求 工程 要求 工程

背景情况:

  • 软件要求规范 (SRS) 对于系统开发至关重要,但往往含有缺陷.
  • 现有的缺陷检测方法可能是主观的,并受到审查指南的影响.
  • 自然语言中的模两可可能导致对软件要求的误解.

研究的目的:

  • 优化和验证元素质量指标 (EQI) 以评估SRS质量.
  • 与传统方法相比,评估EQI在检测缺陷方面的有效性.
  • 调查EQI能够减少SRS.中自然语言模糊性引起的偏差的能力.

主要方法:

  • 根据SRS元素问题提取方法 (EQEM) 优化元素质量指标 (EQI).
  • 对60名软件工程学生进行了受控实验.
  • 对EQI与基于视角的读数进行比较分析,用于缺陷检测和质量评估.

主要成果:

  • 100%的参与者使用EQI.成功识别了SRS缺陷.
  • 与基于视角的读数相比,EQI检测到的平均缺陷数量显著增加.
  • EQI证明了客观和准确的SRS质量评估,减少了自然语言模两可的偏见.

结论:

  • 优化的EQI是SRS.中的缺陷检测的高效工具.
  • 与传统方法相比,EQI为SRS质量评估提供了更客观,更准确的方法.
  • EQI减轻了自然语言模糊性对理解软件要求的影响.