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相关概念视频

Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

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In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
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Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
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Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
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Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
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The compacting factor test is a method used to assess the workability of concrete. It is  especially suitable for concrete mixes containing aggregates up to one and a half inches in size. This test involves specialized equipment consisting of two truncated cone-shaped hoppers and a cylinder, all with polished interior surfaces to minimize friction.
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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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混合优化与约束处理用于组合测试案例优先级问题.

Selvakumar J1, Sudhir Sharma2, Mukesh Kumar Tripathi3

  • 1Department of Computer Science & Engineering, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India.

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概括
此摘要是机器生成的。

本研究介绍了软件开发中测试案例优先级 (TCP) 的新优化算法. 分数混合型基于Leader的优化 (FHLO) 有效地对测试案例进行优先排序,以更早地检测故障并降低成本.

关键词:
分数微积分的微积分计算.有限制的限制.基于混合领导者的优化优化.测试案例优先级排序 测试案例优先级排序

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科学领域:

  • 软件工程 软件工程 软件工程
  • 计算机科学 计算机科学
  • 优化算法 优化算法

背景情况:

  • 软件测试对于确保软件质量和有效性至关重要.
  • 测试案例优先级 (TCP) 旨在尽量减少测试套件的执行时间.
  • 现有的TCP研究往往侧重于时间和故障限制.

研究的目的:

  • 为结合式TCP带有约束处理引入一种新的优化算法.
  • 改善早期故障检测并降低回归测试成本.
  • 根据故障检测和分支覆盖范围来优先考虑测试案例.

主要方法:

  • 开发基于分数混合的领导优化 (FHLO) 算法.
  • FHLO应用于组合测试案例优先级问题.
  • 优先级取决于最大化分支机构覆盖率的平均百分比 (APBC) 和检测故障的平均百分比 (APFD).

主要成果:

  • FHLO算法实现了0.966.6的最大APFD.
  • 该FHLO算法实现了0.888.88的最大APBC.
  • 在对检测故障的测试案例进行优先排序方面表现出有效性.

结论:

  • FHLO算法是测试案例优先级的有效技术.
  • FHLO增强了早期故障检测,并优化了测试执行.
  • 该算法在APFD和APBC指标中提供了显著的改进.