System (100) for continuous
root cause analysis of mobile applications via integrated QA-SRE feedback loops, wherein the
system comprises the following: a data aggregation module configured to collect structured and
unstructured data from test environments, production logs,
telemetry, and
user feedback; a correlation engine configured to analyze and link
quality assurance (QA) test failures with production-level anomalies using
pattern recognition and historical mapping; an
anomaly detection module that can be operated to detect deviations in application performance using
artificial intelligence or
machine learning algorithms; a
root cause analysis module configured to isolate defects by analyzing stack traces, log events,
system resource usage, and device
metadata; a
feedback loop manager configured to facilitate automated
bidirectional communication between QA teams and Site
Reliability Engineering (SRE) teams; a recommendation engine configured to generate prioritized problem-solving suggestions based on historical bug data and code
commit histories; a context-aware
logging module configured to capture runtime environment
metadata during both test and production execution; and a central
orchestration dashboard coupled with a version control
integrator and configured to visualize
system insights and link problems to specific
software builds or deployments; the system enables real-time detection, diagnosis, and resolution of application problems throughout the entire lifecycle of the mobile application.