scholarly journals Can Pairwise Testing Perform Comparably to Manually Handcrafted Testing Carried Out by Industrial Engineers?

2017 ◽  
Author(s):  
Peter Charbachi ◽  
Linus Eklund ◽  
Eduard Enoiu
Keyword(s):  
Pairwise Testing

Framework of Particle Swarm Optimization Based Pairwise Testing

2011 ◽  
Vol 22 (12) ◽  
pp. 2879-2893 ◽  
Author(s):  
Xiang CHEN ◽  
Qing GU ◽  
Zi-Yuan WANG ◽  
Dao-Xu CHEN
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Pairwise Testing

Abstract TP188: Location of Intracerebral Hemorrhage in a Tri-ethnic Cohort: The ERICH Study

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Lee Birnbaum ◽  
Anne Leonard ◽  
Julio Andino ◽  
Charles J Moomaw ◽  
Carl Langfeld ◽  
...  
Keyword(s):  
Intracerebral Hemorrhage ◽  
Univariate Analysis ◽  
Case Fatality ◽  
Final Model ◽  
Location Data ◽  
History Of ◽  
Race Ethnicity ◽  
Pairwise Testing ◽  
Racial Ethnic ◽  
Control Study

Background: The Ethnic/Racial Variations of Intracerebral Hemorrhage (ERICH) is an ongoing case-control study of spontaneous ICH among non-hispanic whites, non-hispanic blacks, and Hispanics. Prior studies have identified hypertension as a greater risk for non-lobar (NL) ICH as compared with lobar (L) ICH. Given the greater reported prevalence of hypertension among black and Hispanic populations, we hypothesized that the location of ICH may differ by race/ethnicity. Methods: At the time of this analysis, we had ICH location data, lobar vs. non-lobar, on 648 subjects. We performed univariate analysis on known and potential predictors of ICH location: age, sex, race/ethnicity, hypertension, diabetes, BMI, creatinine, cholesterol, aspirin use, smoking, alcohol use, caffeine use, and INR. INR was dichotomized at >1.1. After forcing in age, sex, race, history of diabetes, aspirin use and INR, we added significant and near-significant (p<0.2) variables in a stepwise fashion to complete our final logistic regression model. Our outcome measure was lobar ICH. Conditional pairwise testing was performed for race/ethnicity. Results: Of the 648 subjects (mean age 61.12 ± 14.51 years; 39.8% female; 35.0% Hispanic, 26.5% white, 38.4% black), 181 (27.9%) presented with lobar ICH. Hypertension was present in 525 subjects (75.1% L, 83.3% NL; p=.018), diabetes in 152 (26.0% L, 22.5% NL; p=.348), high cholesterol in 244 (45.9% L, 34.5% NL; p=.008), aspirin use in 200 (37.0% L, 28.5% NL; p=.035), and INR >1.1 (24.1% L, 21.8% NL; p=.535) In our final model, race/ethnicity (p<.024) was associated with location of ICH. Furthermore, white race/ethnicity was associated with L ICH, compared with black (b=.57, p=.016) or Hispanic (b=.56, p=.018). Hypertension (b=-0.63, p=.009) was associated with NL ICH, and smoking (b=0.51, p=.007) was associated with L ICH. Discussion: Our results suggest that there are significant racial/ethnic differences in the distribution of lobar and non-lobar ICH. The conditional pairwise testing for race/ethnicity showed a significantly higher rate of lobar ICH in whites, compared with blacks or Hispanics. These findings are intriguing given the differences in case-fatality rates and age at ICH onset.

A Prioritization Method for SPL Pairwise Testing Based on User Profiles

2019 ◽  
Author(s):  
Hirofumi Akimoto ◽  
Yuto Isogami ◽  
Takashi Kitamura ◽  
Natsuko Noda ◽  
Tomoji Kishi
Keyword(s):  
User Profiles ◽  
Prioritization Method ◽  
Pairwise Testing

Software Product Line Testing Based on Feature Model Mutation

2017 ◽  
Vol 27 (05) ◽  
pp. 817-839 ◽  
Author(s):  
Johnny Maikeo Ferreira ◽  
Silvia Regina Vergilio ◽  
Marcos Quinaia
Keyword(s):  
Software Product Line ◽  
Product Line ◽  
Experimental Results ◽  
Feature Model ◽  
Test Case ◽  
Test Cases ◽  
Mutation Operators ◽  
Software Product ◽  
Pairwise Testing ◽  
Feature Management

The Feature Model (FM) is a fundamental artifact of the Software Product Line (SPL) engineering, used to represent commonalities and variabilities, and also to derive products for testing. However, the test of all features combinations (products) is not always possible in practice. Due to the growing complexity of the applications, only a subset of products is usually selected. The selection is generally based on combinatorial testing, to test features interactions. This kind of selection does not consider different classes of faults that can be present in the FM. The application of a fault-based approach, such as mutation-based testing, can increase the probability of finding faults and the confidence that the SPL products match the requirements. Considering that, this paper introduces a mutation approach to select products for the feature testing of SPLs. The approach can be used similarly to a test criterion in the generation and assessment of test cases. It includes (i) a set of mutation operators, introduced to describe typical faults associated to the feature management and to the FM; and (ii) a testing process to apply the operators. Experimental results show the applicability of the approach. The selected test case sets are capable to reveal other kind of faults, not revealed in the pairwise testing.

scholarly journals Telemedicine in orthopaedic surgery during the COVID-19 pandemic

2021 ◽  
Vol 2 (9) ◽  
pp. 745-751
Author(s):  
Ramakanth R. Yakkanti ◽  
Anil B. Sedani ◽  
Lauren C. Baker ◽  
Patrick W. Owens ◽  
Seth D. Dodds ◽  
...  
Keyword(s):  
Patient Characteristics ◽  
Academic Practice ◽  
Institutional Review ◽  
Independent Analysis ◽  
Patient Reported ◽  
Chi Squared ◽  
The Mean ◽  
Pairwise Testing ◽  
Post Hoc ◽  
Patient Barriers

Aims This study assesses patient barriers to successful telemedicine care in orthopaedic practices in a large academic practice in the COVID-19 era. Methods In all, 381 patients scheduled for telemedicine visits with three orthopaedic surgeons in a large academic practice from 1 April 2020 to 12 June 2020 were asked to participate in a telephone survey using a standardized Institutional Review Board-approved script. An unsuccessful telemedicine visit was defined as patient-reported difficulty of use or reported dissatisfaction with teleconferencing. Patient barriers were defined as explicitly reported barriers of unsatisfactory visit using a process-based satisfaction metric. Statistical analyses were conducted using analysis of variances (ANOVAs), ranked ANOVAs, post-hoc pairwise testing, and chi-squared independent analysis with 95% confidence interval. Results The survey response rate was 39.9% (n = 152). The mean age of patients was 51.1 years (17 to 85), and 55 patients (38%) were male. Of 146 respondents with completion of survey, 27 (18.5%) reported a barrier to completing their telemedicine visit. The majority of patients were satisfied with using telemedicine for their orthopaedic appointment (88.8%), and found the experience to be easy (86.6%). Patient-reported barriers included lack of proper equipment/internet connection (n = 13; 8.6%), scheduling difficulty (n = 2; 1.3%), difficulty following directions (n = 10; 6.6%), and patient-reported discomfort (n = 2; 1.3%). Barriers based on patient characteristics were age > 61 years, non-English primary language, inexperience with video conferencing, and unwillingness to try telemedicine prior to COVID-19. Conclusion The barriers identified in this study could be used to screen patients who would potentially have an unsuccessful telemedicine visit, allowing practices to provide assistance to patients to reduce the risk of an unsuccessful visit. Cite this article: Bone Jt Open 2021;2(9):745–751.

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