Artemis: An Automatic Test Suite Generator for Large Scale OLAP Database

Author(s):  
Kaiming Mi ◽  
Chunxi Zhang ◽  
Weining Qian ◽  
Rong Zhang
1992 ◽  
Vol 7 (4) ◽  
pp. 295 ◽  
Author(s):  
Behdad Forghani ◽  
Behcet Sarikaya

2012 ◽  
Vol 190-191 ◽  
pp. 356-359
Author(s):  
Hai Dan Zhang ◽  
Hu Bao ◽  
Den Gan Chen ◽  
Jing Yu

VXI or PXI modules based on embedded computers are playing a significant role in test systems for both agricultural and commercial applications. In an Agricultural equipments remote diagnosis and Maintenance ATS (automatic test system), we applied ARM based VXI modules to developing an equipment called Portable Maintenance Aid Equipments (PMAE) as well as an Ethernet-based measurement system which solved a sticking point of this large-scale ATS. The main testing system is designed as a large-scale integrated test system that will perform automatic test for faulty LRUs (Local Replaceable Unit), and faults will be isolated to SRUs (Shop Replaceable Unit). PMAEs could cooperate with the main testing system in realizing remote measurement and control through virtual instrument (VI) technology, thus the localization veracity of faulty LRUs and cables could be greatly improved. ARM based embedded system was used to realize 0-slot controller as well as some dedicated test modules. It could offer maximum performance and the most compact size because they are installed directly into the VXI mainframe. Test results indicated good performance of this scheme, thereby greatly augmenting diagnostic capacity and efficiency of the Agricultural equipments remote diagnosis and Maintenance ATS.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Jin Jin

For large-scale optimization, CMA-ES has the disadvantages of high complexity and premature stagnation. An improved CMA-ES algorithm called GI-ES was proposed in this paper. For the problem of high complexity, the method in this paper replaces the calculation of a covariance matrix with the modeling of expected fitting degrees for a given covariance matrix. At the same time, to solve the problem of premature stagnation, this paper replaces the historical information of elite individuals with the historical information of all individuals. The information can be seen as approximate gradients. The parameters of the next generation of individuals are generated based on the approximate gradients. The experimental results were tested using CEC 2010 and CEC2013 LSGO benchmark test suite, and the experimental results verified the effectiveness of the algorithm on a number of different tasks.


2017 ◽  
Vol 176 (7) ◽  
pp. 1-8
Author(s):  
Afrina Khatun ◽  
Naushin Nower ◽  
Kazi Sakib

Sign in / Sign up

Export Citation Format

Share Document