Sap Se

Yong Li

Yang Xu

Hyun Deok Choi

Chao Liu

Hao Yang

Qiao-Luan Xie

Methods, systems, and computer-readable storage media for receiving a crash report provided as a computer-readable file, providing a stack trace from the crash report, adding component information to the stack trace, for each component identified in the stack trace, determining a set of features, processing sets of features through a ML model to provide a prediction identifying a component as a bug component, and assigning the bug component for resolution through a crash management system.

Crash bug component prediction system to identify components as potential bug sources

In an example embodiment, a machine learned model is utilized for identifying duplicate crash dumps. After a developer submits code, corresponding test cases are used to ensure the quality of the software delivery. Test failures can occur during this period, such as crashes, errors, and timeouts. Since it takes time for developers to resolve them, many duplicate failures can occur during this time period. In some embodiments, trash triggering is the most time-consuming task of development, and thus if duplicate crash failures can be automatically identified, the degree of automation will be significantly enhanced. To locate such duplicates, a training-based machine learned model uses component information of an in-memory database system to achieve better crash similarity comparison.

Growing community of inventors

Xi'an, China

Yong Li