|Title||Supporting Continuous Engineering with Automated Log Clustering and Diagnosis|
|Project(s)||The Certus Centre (SFI)|
|Publication Type||Talks, invited|
|Year of Publication||2019|
|Location of Talk||KTH Royal Institute of Technology, Stockholm, Sweden|
|Keywords||Continuous Engineering, Log Clustering, Log Diagnosis. Effort Reduction|
Abstract: Continuous engineering (CE) practices, such as continuous integration and continuous deployment,
In this talk, we will explore to what extent these data can be treated more effectively by automatically grouping logs of runs that failed for the same underlying reasons, and what effort reduction can be achieved. Our proposed approach builds on earlier work for system log clustering, and we empirically investigate how choices in the clustering pipeline affect the grouping of continuous deployment logs provided by our industrial collaborator. We conclude by discussing a log diagnosis technique that builds on event spectra can be used to highlight which events in a failure log are most likely to indicate the causes of the failure.