Design and Implementation of a Processing Automatically Generated Error Reports Model

Student: Smirnov Igor

Supervisor: Boris Novikov

Faculty: St. Petersburg School of Physics, Mathematics, and Computer Science

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2021

Error monitoring systems operate with different types of reports: exceptions from various programming languages, UI freezes, virtual machine crashes. Every new type of report requires writing new code. At the same time, most actions in report processing can be done in a language-agnostic way (stack trace comparison, errors’ clustering, search, presentation generation, code navigation and others), because many algorithms do not depend on the origin of the error. Modern systems have language-agnostic models for exceptions, but their approach is not suitable for non-linear error structures. In this paper we present a model that can be used for language-agnostic processing of most popular report types and describe the process of implementing a full report processing pipeline within this model in the Exception Analyzer (JetBrains internal error monitoring system). We also show how language-dependent logic can be implemented within the framework of this model. Keywords: report model, bug tracking, error monitoring, error processing, crash processing, UI freeze

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