Replication Package - How High Will It Be? Using Machine Learning Models to Predict Branch Coverage in Automated Testing
| Main Authors: | Giovanni Grano, Timofey V. Titov, Sebastiano Panichella, Harald C. Gall |
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| Format: | info software eJournal |
| Terbitan: |
, 2018
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/1182835 |
Daftar Isi:
- Replication Package the the paper "How High Will It Be? Using Machine Learning Models to Predict Branch Coverage in Automated Testing" accepted at MaLTeSQuE 2018 (workshop co-located with SANER). This is a Docker image needed to re-run the experiment conducted by the authors. Usage Type the following command to compute the data about the coverage for the labelled dataset julia -p 6 -L "/prioritization_tool/coverage/model_building.jl" bootstrap.jl --step_type generate --data_sources [\"dagger\",\"ivy\",\"guava\",\"cassandra\"] --budgets [45,90,180] julia bootstrap.jl --step_type learn will instead build and train the models.