The quick advancement in AI has led to the development of refined large language models (LLM). While LLM is a specific type of generative AI focused on generative text generative AI is a broader category encompassing ...
详细信息
Mental health is a fundamental aspect of overall wellbeing, despite its importance, it remains one of the most neglected issues. By integrating Artificial Intelligence with Natural Language Processing into this domain...
详细信息
Mental health support is crucial for students, who are vulnerable to challenges due to academic pressures and social expectations. University culture often fosters misconceptions about mental well-being, leading to st...
详细信息
To reduce distortion from the fundamental sinusoidal waveform, inverters were extended to more than two layers, which gave rise to the concept of a multilayer inverter. The need for extra switches, which increases sys...
详细信息
Enforcing smoking bans in public areas remains a challenge due to limitations in conventional monitoring methods. This paper introduces SmokerBeacon, an innovative system for real-time detection of smoking activities ...
详细信息
This research describes a novel approach to hospital visitor screening utilizing cloud-powered deep learning using convolutional neural networks (CNNs). Our proposed approach will fill this need by improving threat de...
详细信息
This paper presents a novel approach for air pollution monitoring using Photonic Crystal Fiber (PCF) with unique optical properties. Through Finite Element Method (FEM) simulations in COMSOL, the study explores how th...
详细信息
Growing plants in nutrition solution with any growing medium or roots dipped in distilled water is Hydroponics. Hydroponics, the practice of growing plants in a nutrient-rich solution without soil, offers significant ...
详细信息
Software testing regularly involves numerous setups and user inputs, leading to a combinatorial explosion of test cases. While Combinatorial Interaction Testing (CIT) has been theoretically investigated, its effective...
详细信息
ISBN:
(纸本)9783031752001;9783031752018
Software testing regularly involves numerous setups and user inputs, leading to a combinatorial explosion of test cases. While Combinatorial Interaction Testing (CIT) has been theoretically investigated, its effectiveness in real-world scenarios remains unclear [1]. This research fills that gap by utilizing CIT in some live software projects. We led two studies: the first focuses on optimizing user input testing in jTrac, and the second focused on managing system configurations in Redmine, a comparative web application. We looked at CIT to customary testing strategies, breaking down components like test design time, test automation, test execution, suite size, and defect detection. The investigation gave valuable insights into enhancing CIT execution and reception. The results are promising. With CIT, the number of required test cases is significantly reduced, but at the same time, defect detection is improved. In the first study, the average time to detect a defect was 1.40 h (design, automation, execution, and evaluation) compared to 0.35 hwith CIT. Similar patterns emerged in the second study. These findings have important implications for both researchers and organizations. They highlight CIT's promise for software testing, including decreasing test case burden and perhaps improving defect detection rates. This study provides practical evidence for organizations and testers looking to improve their testing procedures.
The integration of human-robot interaction (HRI) technologies with industrial automation has become increasingly essential for enhancing productivity and safety in manufacturing environments. In this paper, we propose...
详细信息
暂无评论