DeepPDBR Artifact

labels.csv: Duplicated Dockerfiles with labels

Reproducing experimental results

AST parsing

1. Run ./experiments/I-parse/1-phase-1-dockerfile-asts/generate.sh for parsing phase I.
2. Run ./experiments/I-parse/2-phase-2-dockerfile-asts/generate.sh for parsing phase II.
3. Run ./experiments/I-parse/3-phase-3-dockerfile-asts/generate.sh for parsing phase III.
4. Run ./experiments/I-parse/4-phase-4-dockerfile-asts/generate.sh for parsing phase IV.

Feature extract

1. Run ./experiments/II-feature/word2vec for corpus training.
2. Run ./experiments/II-feature/feature_save for feature saving.

Results prediction

Run ./experiments/III-prediction/transformer_predict.py for DeepPDBR (Our Method) prediction.

RQ6.2 Incorrect predictions analysis

For this part of the discussion, we have selected 100 Dockerfiles with their prefix names in dataset.tar.gz as shown in RQ6.2-IDs.csv.