Performance testing framework: Evaluating the impact on the system speed

Author(s):  
Paul Bot ◽  
Cristina Vatamanu ◽  
Dragos Gavrilut ◽  
Razvan-Mihai Benchea
2021 ◽  
Vol 42 (Supplement_1) ◽  
pp. S77-S77
Author(s):  
Jill M Cancio ◽  
Matthew Borgia ◽  
Leopoldo C Cancio ◽  
Linda Resnik

Abstract Introduction Burns with upper extremity (UE) amputation present a unique rehabilitation challenge. The purpose of this study of UE amputees who are active prosthesis users was to compare outcomes for those with and without burns. Methods This is part of a larger nationwide study of U.S. military members and veterans with UE amputations. In-person data were collected at 5 sites. An therapist measured passive and active range of motion (PROM, AROM); administered the Quick Disability of the Arm, Shoulder, and Hand; Community Reintegration of Injured Service Members-Computer Adaptive-Test; Trinity Amputation and Prosthetic Experience Scale; health-related quality of life (VR-12); Activities Measure for Upper Extremity Amputees; Southampton Assessment Procedure; 9-Hole Peg Test; and Jebsen-Taylor Hand Function Test (JTHF); and recorded residual and phantom pain; timing of prosthesis receipt; and current prosthesis use. The IRB approved this study. Results Data were collected on 126 individuals with UE amputation, of whom 105 had data on etiology and were included. Of these, 13 (12.4%) had burns (B) vs non-burn (NB). The majority were unilateral amputees (69% B, 90% NB). Most were transradial (TR) amputees (B 84.6%, NB 66.3%) as opposed to transhumeral (TH). A minority received their prosthetics within the first 3 months post-amputation (11.1% B, 28.8% NB) (p=0.15). Average age was 57.6 (SD 15.6) years for NB and 53.0 (20.6) years for B. Mean time since amputation was 22.5 (18.0) years for NB and 25.2 (17.3) years for B. The following non-significant differences in outcomes between B and NB were observed. Thirty-nine percent of B were employed full-time vs 18.9% of NB (p=0.15). The primary prosthesis was, for NB, a body-powered prosthesis (66.7%); for B, myoelectric (50%) or body-powered (50%). For unilateral UE amputees, there were no differences between B and NB on performance testing for dexterity and functional tasks or in self-reported disability, quality of life or prevalence or intensity of pain. B trended towards more moderate to severe PROM deficits with shoulder forward flexion (TH B 50%, TH NB 23.1% [p=0.444]; TR B 20%, TR NB 5.6% [p=0.197]) and shoulder abduction (TH B 50%, TH NB 26.9% [p=0.497]; TR B 30%, TR NB 16.4% [p=0.376]). Also, TR amputees with burns trended towards more PROM deficits with elbow flexion (B 20%, NB 6.9% [p=0.212]) and elbow extension (B 20%, NB 8.6% [p=0.272]). AROM deficits also trended greater in B. Conclusions We did not observe differences in physical function, pain levels, or quality of life between those with and without burns. Further studies with larger samples are needed, to include analysis of burn location, burn size, hospital length of stay, and rehabilitation care.


Author(s):  
Alex Ng ◽  
Shiping Chen

Performance testing is one of the vital activities spanning the whole life cycle of software engineering. As a result, there are a considerable number of performance testing products and open source tools available. It has been observed that most of the existing performance testing products and tools are either too expensive and complicated for small projects, or too specific and simple for diverse performance tests. In this chapter, we will present an overview of existing performance test products/tools, provide a summary of some of the contemporary system performance testing frameworks, and capture the key requirements for a general-purpose performance testing framework. Based on our previous works, we propose a system performance testing framework which is suitable for both simple and small, as well as complicated and large-scale performance testing projects. The core of our framework contains an abstraction to facilitate performance testing by separating the application logic from the common performance testing functionality, and a set of general-purpose data model.


2013 ◽  
Vol 6 (23) ◽  
pp. 4506-4518
Author(s):  
Do Nguyet Quang ◽  
Ong Hang See ◽  
Dao Viet Nga ◽  
Lai Lee Chee ◽  
Che Yung Xuen ◽  
...  

2019 ◽  
Vol 25 (4) ◽  
pp. 543-557 ◽  
Author(s):  
Afra Alishahi ◽  
Grzegorz Chrupała ◽  
Tal Linzen

AbstractThe Empirical Methods in Natural Language Processing (EMNLP) 2018 workshop BlackboxNLP was dedicated to resources and techniques specifically developed for analyzing and understanding the inner-workings and representations acquired by neural models of language. Approaches included: systematic manipulation of input to neural networks and investigating the impact on their performance, testing whether interpretable knowledge can be decoded from intermediate representations acquired by neural networks, proposing modifications to neural network architectures to make their knowledge state or generated output more explainable, and examining the performance of networks on simplified or formal languages. Here we review a number of representative studies in each category.


Author(s):  
Keith E. W. Coulson ◽  
Dennis G. Quinton ◽  
Thomas C. Slimmon

Since the early 1970’s, the pipeline construction and operation industry has supported the development and implementation of various material standards and specifications. The emphases within the pipeline energy industry was to standardize manufacturing and performance testing processes in the provision of a product which would ensure public safety and reliability of service. The pipeline segment of the energy industry has succeeded in incorporating minimum quality levels by way of industry standards, codes, regulatory requirements and propriety company standards. In addition to these minimum product requirements quality assurance programs have been introduced to enhance the likelihood of conformance to the applicable requirements. In 1975, Canada became the first country to prepare and publish quality system standards for commercial use (Z299 standards). International quality system standards development proliferated in the following years, leading to the establishment of the ISO/TC 176 work team which subsequently led to the issue of the internationally accepted ISO 9000 series of standards. This paper will review both the concept and stages of development of CSA pipe and coating standards. It will also analyze the impact that international standards for Quality Management Systems are having in establishing systematic approaches to assessing levels of quality during material manufacture. Finally, a vision of the possible road to the future will be drawn and the positive impacts for the pipeline industry will be projected from a full life cycle cost perspective.


2006 ◽  
Vol 128 (4) ◽  
pp. 531-538 ◽  
Author(s):  
Jonathon Sumner ◽  
Christian Masson

The impact of atmospheric stability on vertical wind profiles is reviewed and the implications for power performance testing and site evaluation are investigated. Velocity, temperature, and turbulence intensity profiles are generated using the model presented by Sumner and Masson. This technique couples Monin-Obukhov similarity theory with an algebraic turbulence equation derived from the k-ϵ turbulence model to resolve atmospheric parameters u*, L, T*, and z0. The resulting system of nonlinear equations is solved with a Newton-Raphson algorithm. The disk-averaged wind speed u¯disk is then evaluated by numerically integrating the resulting velocity profile over the swept area of the rotor. Power performance and annual energy production (AEP) calculations for a Vestas Windane-34 turbine from a wind farm in Delabole, England, are carried out using both disk-averaged and hub height wind speeds. Although the power curves generated with each wind speed definition show only slight differences, there is an appreciable impact on the measured maximum turbine efficiency. Furthermore, when the Weibull parameters for the site are recalculated using u¯disk, the AEP prediction using the modified parameters falls by nearly 5% compared to current methods. The IEC assumption that the hub height wind speed can be considered representative tends to underestimate maximum turbine efficiency. When this assumption is further applied to energy predictions, it appears that the tendency is to overestimate the site potential.


Big data testing services are to deliver end to end testing methodologies which address our big data challenges. The testing module includes two types of functionalities. One is functional testing and second is non- functional testing. The functional testing should be accomplished at every stage of big data processing. Functional testing is nothing but the big data sources extraction testing, data migration testing and big data ecosystem. Testing which completes ETL test strategy, Map job reduce validation, multicore Data integration validation and data duplication check. On the other side the non-functional testing is to ensure that there are no quality defeat in data and no performance related issues. It covers the area for security testing, performance testing which solve the problem of monitoring and identify bottlenecks.


Author(s):  
D. JEYAMALA ◽  
K. SABARI NATHAN ◽  
A. JALILA ◽  
S. BALAMURUGAN

High quality software can be obtained by means of resolving the complexity of the software. According to Pareto principle, 20% of components lead to 80% of the problems [1]. So, we need to identify those 20% of the components during testing. Therefore, this research work suggested an automated software testing framework to identify critical components using mutant based dynamic impact analysis for Software under Test (SUT). Mutants are automatically generated by injecting faults in the components using Offutt mutation operators and they are utilised to identify their impact level over other components of the system. The generated mutants and original program are executed using the suite of test cases, based on the conclusion of both the results, the mutation score is assessed and furthermore it is utilised as the test case adequacy criterion to recognize the impact level of it over the other components of a system. The outcome of this innovative approach is a testing tool entitled as JImpact Analyzer that automates the entire task and has generates miscellaneous graphs for visualization purpose.


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