Published February 3, 2022 | Version v2
Journal article Open

PREVENT: A Semi-Supervised Approach to Predict Software Failures in Production

  • 1. Università della Svizzera italiana (USI)

Description

This repository provides the replication package of our paper "PREVENT: A Semi-Supervised Approach to Predict Software Failures in Production". It includes the codes, results, inputs and train datasets.

Files

Anomalies.zip

Files (70.9 MB)

Name Size Download all
md5:d11d0de2481d88bb499aa4081f2f5ab0
3.7 MB Preview Download
md5:9f147ee7525f0570b294411e999ef02f
54.9 MB Preview Download
md5:e567e96c5d6a27871713db7b7bc70d4e
6.4 kB Preview Download
md5:1b33d58220d88628989afe7e402ba32a
9.5 kB Preview Download
md5:2ce70fe4a0accda8a2cb1da9fb8ec57b
11.6 MB Preview Download
md5:06febab0b913efa9bcd31e1cc0042210
732.4 kB Preview Download
md5:b1c4607e314b41255860966d66c088e9
1.6 kB Preview Download