This is the ETCR-Elasticsearch dataset artifact from our paper "Exploit Those Code Reviews! Bigger Data for Deeper Learning" (https://doi.org/10.1145/3468264.3473110), which was accepted for the demonstrations track at ESEC/FSE 2021
A practical tutorial that covers the difficult design, implementation, and management of search solu...
This folder consists of the methods, materials, and data accompanying the journal article ESMvis: A ...
DDI 3.2 presents a solid meta-data model to encode social sciences surveys meta-data, such as studie...
ETCR Infrastructure for creating Modern Code Review datasets from GitHub projects. This artifact wa...
Educational data continues to grow in volume, velocity and variety. Making sense of the educational ...
If you are a data enthusiast and would like to explore and specialize on search technologies based o...
Elastic has announced the integration of Prelert machine learning technology within its ecosystem al...
This is the artifact for our ESEC/FSE 2019 paper "Effects of Explicit Feature Traceability on Progra...
Poster presentation at VIVO 2016 conference on integrating Elasticsearch with the University of Colo...
For several years CERN has been offering a centralised service for Elasticsearch, a popular distribu...
A very large amount of data is produced from the online data flow monitoring for the CMS data acquis...
The files contain the data from an incentivized online experiment with experienced retail investors ...
Artifact for ESEC/FSE paper entitled "23 Shades of Self-Admitted Technical Debt: An Empirical Study ...
Dataset supports: A dataset for systematic testing of crackle separation techniques by Ravi Pal and ...
Huge amount of data is being logged by network devices daily. As such, it is important to search thr...
A practical tutorial that covers the difficult design, implementation, and management of search solu...
This folder consists of the methods, materials, and data accompanying the journal article ESMvis: A ...
DDI 3.2 presents a solid meta-data model to encode social sciences surveys meta-data, such as studie...
ETCR Infrastructure for creating Modern Code Review datasets from GitHub projects. This artifact wa...
Educational data continues to grow in volume, velocity and variety. Making sense of the educational ...
If you are a data enthusiast and would like to explore and specialize on search technologies based o...
Elastic has announced the integration of Prelert machine learning technology within its ecosystem al...
This is the artifact for our ESEC/FSE 2019 paper "Effects of Explicit Feature Traceability on Progra...
Poster presentation at VIVO 2016 conference on integrating Elasticsearch with the University of Colo...
For several years CERN has been offering a centralised service for Elasticsearch, a popular distribu...
A very large amount of data is produced from the online data flow monitoring for the CMS data acquis...
The files contain the data from an incentivized online experiment with experienced retail investors ...
Artifact for ESEC/FSE paper entitled "23 Shades of Self-Admitted Technical Debt: An Empirical Study ...
Dataset supports: A dataset for systematic testing of crackle separation techniques by Ravi Pal and ...
Huge amount of data is being logged by network devices daily. As such, it is important to search thr...
A practical tutorial that covers the difficult design, implementation, and management of search solu...
This folder consists of the methods, materials, and data accompanying the journal article ESMvis: A ...
DDI 3.2 presents a solid meta-data model to encode social sciences surveys meta-data, such as studie...
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