LOGCAT ANALYSIS OF MOBILE DEVICES TO IDENTIFY ERRORS

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.