How does combinatorial testing perform in the real world: an empirical study

2020 ◽  
Vol 25 (4) ◽  
pp. 2661-2693
Author(s):  
Linghuan Hu ◽  
W. Eric Wong ◽  
D. Richard Kuhn ◽  
Raghu N. Kacker
Keyword(s):  
Empirical Study ◽  
Real World ◽  
Combinatorial Testing ◽  
The Real

scholarly journals Making Translation Testing More Teaching-oriented: A Case Study of Translation Testing in China

2006 ◽  
Vol 51 (1) ◽  
pp. 72-88 ◽  
Author(s):  
Defeng Li
Keyword(s):  
Empirical Study ◽  
Real World ◽  
Theoretical Framework ◽  
The Real ◽  
Teaching Context ◽  
Testing Practice ◽  
Teaching Research ◽  
Teachers Attitudes

Abstract Despite the fact that translation teaching research has been gaining momentum over the last two decades, little has been written and therefore known about translation assessment in the teaching context. This article reports on a data-based empirical study of translation testing in China. The issues raised in it range from teachers’ attitudes towards testing to its objectives, design, contents, frequency, and its pedagogical roles. It is suggested that more research be done on translation testing, of which the first task is to develop a theoretical framework to provide guidance for translation testing practice and research. It is further recommended that translation testing be made more teaching-oriented and brought closer to the real world of professional translation.

scholarly journals Classification in Networked Data with Heterophily

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Zhenwen Wang ◽  
Fengjing Yin ◽  
Wentang Tan ◽  
Weidong Xiao
Keyword(s):  
Empirical Study ◽  
Real World ◽  
Probabilistic Method ◽  
Data Classification ◽  
Classification Algorithm ◽  
Experimental Results ◽  
The Real ◽  
Low Level ◽  
Matrix Operations ◽  
Real World Datasets

In the real world, a large amount of data can be described by networks using relations between data. The data described by networks can be called networked data. Classification is one of the main tasks in analyzing networked data. Most of the previous methods find the class of the unlabeled node using the classes of its neighbor nodes. However, in the networks with heterophily, most of connected nodes belong to different classes. It is hard to get the correct class using the classes of neighbor nodes, so the previous methods have a low level of performance in the networks with heterophily. In this paper, a probabilistic method is proposed to address this problem. Firstly, the class propagating distribution of the node is proposed to describe the probabilities that its neighbor nodes belong to each class. After that, the class propagating distributions of neighbor nodes are used to calculate the class of the unlabeled node. At last, a classification algorithm based on class propagating distribution is presented in the form of matrix operations. In empirical study, we apply the proposed algorithm to the real-world datasets, compared with some other algorithms. The experimental results show that the proposed algorithm performs better when the networks are of heterophily.

Current Issues: Evidence-Based Practice for the Real World: Thoughts on Clinical Education in Communication Disorders

2010 ◽  
Vol 20 (3) ◽  
pp. 100-105 ◽  
Author(s):  
Anne K. Bothe
Keyword(s):  
Clinical Education ◽  
Real World ◽  
Evidence Based Practice ◽  
Communication Disorders ◽  
University Faculty ◽  
Evidence Based ◽  
Speech Language Pathology ◽  
Basic Principles ◽  
The Real ◽  
Language Pathology

This article presents some streamlined and intentionally oversimplified ideas about educating future communication disorders professionals to use some of the most basic principles of evidence-based practice. Working from a popular five-step approach, modifications are suggested that may make the ideas more accessible, and therefore more useful, for university faculty, other supervisors, and future professionals in speech-language pathology, audiology, and related fields.

The Real-World Fellowship

2006 ◽  
Vol 40 (7) ◽  
pp. 47
Author(s):  
LEE SAVIO BEERS
Keyword(s):  
Real World ◽  
The Real

Contracts in the Real World

2016 ◽  
Author(s):  
Lawrence A. Cunningham
Keyword(s):  
Real World ◽  
The Real

How can the Sophisticated Variance Investigation Model be Applied to the Real World?

1996 ◽  
Vol 13 (1) ◽  
pp. 61-72 ◽  
Author(s):  
Sung-Kyoo Huh ◽  
Jong-Dae Jin
Keyword(s):  
Real World ◽  
The Real

Psychological Research on Memory, Meet the Real World

2014 ◽  
Vol 222 (2) ◽  
pp. 69-70
Author(s):  
Melody Wiseheart
Keyword(s):  
Real World ◽  
Psychological Research ◽  
The Real
Sign in / Sign up

Export Citation Format

Share Document