Automatic Data Logging and Quality Analysis System for Mobile Devices
Joint Authors
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-25, 25 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-27
Country of Publication
Egypt
No. of Pages
25
Main Subjects
Telecommunications Engineering
Abstract EN
The testing phase of mobile device products includes two important test projects that must be completed before shipment: the field trial and the beta user trial.
During the field trial, the product is certified based on its integration and stability with the local operator’s system, and, during the beta user trial, the product is certified by multiple users regarding its daily use, where the goal is to detect and solve early problems.
In the traditional approach used to issue returns, testers must log into a web site, fill out a problem form, and then go through a browser or FTP to upload logs; however, this is inconvenient, and problems are reported slowly.
Therefore, we propose an “automatic logging analysis system” (ALAS) to construct a convenient test environment and, using a record analysis (log parser) program, automate the parsing of log files and have questions automatically sent to the database by the system.
Finally, the mean time between failures (MTBF) is used to establish measurement indicators for the beta user trial.
American Psychological Association (APA)
Fanjiang, Yong-Yi& Wu, Chih-Pin. 2017. Automatic Data Logging and Quality Analysis System for Mobile Devices. Mobile Information Systems،Vol. 2017, no. 2017, pp.1-25.
https://search.emarefa.net/detail/BIM-1189259
Modern Language Association (MLA)
Fanjiang, Yong-Yi& Wu, Chih-Pin. Automatic Data Logging and Quality Analysis System for Mobile Devices. Mobile Information Systems No. 2017 (2017), pp.1-25.
https://search.emarefa.net/detail/BIM-1189259
American Medical Association (AMA)
Fanjiang, Yong-Yi& Wu, Chih-Pin. Automatic Data Logging and Quality Analysis System for Mobile Devices. Mobile Information Systems. 2017. Vol. 2017, no. 2017, pp.1-25.
https://search.emarefa.net/detail/BIM-1189259
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189259