Abstract
This study seeks to address the growing complexity in analyzing mobile device logs, a challenging task for testing professionals and developers. The diversity of applications and platforms results in a wide range of LogCat records, many of which are not relevant to the error identification process. To solve this problem, we have developed a highly efficient log filtering system. This solution employs advanced text processing and semantic analysis algorithms, capable of discerning between informative messages and those that indicate genuine malfunctions. The implementation of this system has resulted in a notable reduction in the time spent sorting and identifying errors, providing a more accurate and efficient analysis of LogCat logs. The results show a significant improvement in the effectiveness of the testing process and in the final quality of the applications developed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
