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SlowOps: An Industrial Dataset of Stack Traces

Authors: Shibaev, Egor; Sushentsev, Denis; Golubev, Yaroslav; Khvorov, Aleksandr;

SlowOps: An Industrial Dataset of Stack Traces

Abstract

This package contains SlowOps, and industrial dataset of stack traces introduced in our paper "Stack Trace Deduplication: Faster, More Accurately, and in More Realistic Scenarios". SlowOps is an dataset of stack traces (reports) and their categories (issues), aimed at evaluating different models for stack trace deduplication. The dataset includes reports related to Slow Operation Assertion, collected at JetBrains from IntelliJ-based products in the time from 26.01.2021 to 29.02.2024. It contains 886,730 reports in 1,361 categories. For more information about the dataset, please refer to the README.

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Keywords

deduplication, industrial data, bug reports, deep learning, stack traces

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average