MOOSE Lab

DevOpsDataCollection

A collection of DevOps datasets that aim to facilitate research and development to support DevOps intelligence.

Preprocessing-is-All-You-Need

suppmaterial-LogRepForAnomalyDetection

Supplementary materials for paper "On the Effectiveness of Log Representation for Log-based Anomaly Detection"

ML_StackTrace

This repo mine Stack Overflow (SO) and study 11,095 stack traces related to seven popular Python ML libraries.

suppmaterial-PostDupGPT3

Supplimentary materials for paper "Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection"

web-app-workloads

Web application workloads and their applications.

suppmaterial-CfgTransAnomalyDetector

This repository contains the supplementary material for the manuscript entitled "What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach".

Discover-Data-Quality-With-RIOLU

Quantum-Execution-Time-Prediction

CPP-Statistical-Analysis

An statistical analysis tool for C and C++ source codes

hadoop-ansible

ansible scripts for setting up multi-cluster hadoop

HiBench

HiBench is a big data benchmark suite.

InjectErr

Inject errors while running HiBench workloads on Hadoop and collect logs

JIT_Performance_Analysis

This program enables users to microbenchmark their Java code to detect regression in performance.

llm_training_supplimentary_intention

logging-observer

An IntelliJ plugin (Logging Observer) for searching and analyzing logging code in Java projects.

replication-package-tracing-optimization-performance-modeling

skywalking-java

The Java agent for Apache SkyWalking

Sports-Apps-Analysis

A Large-Scale Empirical Study of Android Sports Apps in the Google Play Store

studying_aiops_github

Replication package for the paper "Studying the Characteristics of AIOps Projects on GitHub"

suppmaterial-19-yingzhe-aiops_data_splitting

Supplemental materials for paper "An Empirical Study of the Impact of Data Splitting Decisions on the Performance of AIOps Solutions".

suppmaterial-TechnicalPostIntention

Supplementary materials for paper "Characterizing and Classifying Developer Forum Posts with their Intentions"

Detect-Cell-level-Data-Anomalies-With-LUCARIO

llm_training_supplimentary_duplicate_detection

MLExceptionSymptoms

In this project, we seek to examine the reported symptoms of exceptions and assess their impact on community support in resolving failures. This study uses seven popular ML libraries on Stack Overflow.