Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Mechanical Characteristics of Steel01:18

Mechanical Characteristics of Steel

395
The mechanical characteristics of steel are assessed through various tests that evaluate its strength, toughness, and flexibility. These tests include tension, torsion, impact, bending, and hardness assessments, each providing crucial information about steel's suitability for specific applications.
The tension test is fundamental for determining tensile strength. In this test, a steel specimen is stretched using a gripping device until it breaks. The data collected during this test are used...
395
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.6K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.6K
Non-destructive Tests for Concrete Strength01:12

Non-destructive Tests for Concrete Strength

108
The rebound hammer test, also known as the Schmidt hammer test, is a non-destructive technique for evaluating the hardness of concrete and, indirectly, the strength of concrete. It operates on the principle that the rebound of a spring-driven mass from a concrete surface correlates to the surface's hardness. The device comprises a mass within a tubular housing, a spring mechanism, and a plunger that strikes the concrete. Upon release, the energy imparted to the mass by the spring causes it...
108
Reliability and Validity01:29

Reliability and Validity

12.7K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
12.7K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Tools and benchmarks evolve: what is their impact on parameter tuning in SBSE experiments?

Empirical software engineering·2025
Same authorSame journal

Causes and effects of fitness landscapes in system test generation: a replication study.

Automated software engineering·2025
Same authorSame journal

Tool report: EvoMaster-black and white box search-based fuzzing for REST, GraphQL and RPC APIs.

Automated software engineering·2024
Same author

Building an open-source system test generation tool: lessons learned and empirical analyses with EvoMaster.

Software quality journal·2023
Same author

Search-based multi-vulnerability testing of XML injections in web applications.

Empirical software engineering·2020
Same journal

Multi-objective improvement of Android applications.

Automated software engineering·2025
Same journal

Reinforcement learning for mutation operator selection in automated program repair.

Automated software engineering·2025
Same journal

Large language model based mutations in genetic improvement.

Automated software engineering·2025
Same journal

Information security implications of using NLP in IT outsourcing: a Diffusion of Innovation theory perspective.

Automated software engineering·2024
查看所有相关文章

相关实验视频

Updated: Jun 5, 2025

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study
05:43

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study

Published on: November 30, 2022

2.3K

应用到测试工业REST API的技术采用绩效评估.

Alexander Poth1, Olsi Rrjolli1, Andrea Arcuri2

  • 1Volkswagen AG, Wolfsburg, Germany.

Automated software engineering
|December 5, 2024
PubMed
概括
此摘要是机器生成的。

自动化测试案例生成工具帮助软件测试. 一种系统的方法评估了用于REST API测试的AI和算法驱动的方法,显示了测试工程师的好处.

关键词:
验证 API 验证 API 验证基准测试 (benchmarking) 是一种比较的方法.在法学士 (LLM) 课程中.质量工程 质量工程基于要求的测试是基于要求的测试.这是SBST的SBST.测试自动化 测试自动化测试案例的产生.

更多相关视频

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
06:02

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

2.2K
Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

4.5K

相关实验视频

Last Updated: Jun 5, 2025

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study
05:43

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study

Published on: November 30, 2022

2.3K
Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
06:02

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

2.2K
Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

4.5K

科学领域:

  • 软件工程 软件工程 软件工程
  • 软件测试中的人工智能
  • 自动化软件测试自动化软件测试

背景情况:

  • 手动软件测试是劳动密集型的,容易出现错误.
  • 自动化测试案例生成提供了一个解决方案,以提高效率和正确性.
  • 存在各种人工智能 (例如进化,LLM) 和算法方法,每个方法都有独特的优缺点,用于工业集成.

研究的目的:

  • 为评估测试案例生成方法提出一个系统的方法.
  • 将这些方法整合到IT产品开发的可扩展企业设置中.
  • 专门针对使用OpenAPI方案对REST API进行黑子测试.

主要方法:

  • 开发和应用技术采用绩效评估 (TAPE) 方法.
  • 在大众汽车集团的IT集团内进行了案例研究.
  • 评估了现有的工具:基于各种技术的OpenAPI生成器,EvoMaster和StarCoder.

主要成果:

  • TAPE方法为评估测试案例生成工具提供了一个框架.
  • 评估的工具显示,对测试工程师来说有显著的好处.
  • 在大型工业IT环境中,简化了测试案例规范和设计.

结论:

  • 系统评估和整合方法 (TAPE) 对于工业采用测试案例生成工具是有效的.
  • 人工智能和算法驱动的工具可以提高REST API软件测试的效率和质量.
  • 该研究证实了这些工具在简化IT产品开发和服务交付方面的价值.