qingshanyuluo/A3Test

A3Test - Assertion Augmented Automated Test Case Generation

Developing a BART based model for the unit test cases generation

How to replicate

About the Environment Setup

First of all, clone this repository to your local machine and access the main dir via the following command:

https://github.com/awsm-research/A3Test

cd A3Test

Then, install the python dependencies via the following command:

pip install transformers

pip install torch

pip install numpy

pip install tqdm

pip install pandas

pip install tokenizers

To download the training and evaluation in our experiments, run the following commands:

A3Test

To Train the Assert Augmented model

We use methods2test data to fine-tune the model.

python python training.py -i train.csv -c codePreTrain.csv -po preModel.pth -o model.pth -s src_fm_fc_ms_ff -t test.csv -v eval.csv -pe 7 -ce 8 -a test.txt -q Defect4jTests.txt

See Arguments 🔎

``python
parser.add_argument("-i", "--trainInput", dest="trainInput", help="Training file for the model") parser.add_argument("-c", "--codepretrainInput", dest="codepretrainInput", help="Code Pre Training file for the model") parser.add_argument("-o", "--modelOutputDir", dest="outPath", help="Output Directory Path for the model") parser.add_argument("-po", "--premodelOutputDir", dest="PreOutPath", help="Pre Training Output Directory Path for the model") parser.add_argument("-s", "--sourceLabel", dest="sourceLabel", help="Source Label for the train.csv file") parser.add_argument("-t", "--testInput", dest="testInput", help="Test Input file for the model accuracy") parser.add_argument("-v", "--valInput", dest="valInput", help="Val Input file for the model accuracy") parser.add_argument("-e", "--epochs", dest="epochs", help="Epochs for the model") parser.add_argument("-ce", "--preCodeEpochs", dest="preCodeEpochs", help="Epochs for the model code pre train") parser.add_argument("-a","--externalTestFile", dest="externalTestFile", help="External Test Files for generating the UTs") parser.add_argument("-q","--externalTestFileOutput", dest="externalTestFileOutput", help="External Test Files output for generating the UTs")

``

To Test the Assert Augmented model

python testScript.py -i model.pth -t test.csv -a test.txt -q Defect4jTests.txt

See Arguments 🔎

parser.add_argument("-i", "--modelInput", dest="modelInput", help="Saved Model file for the testing the script")
parser.add_argument("-t", "--testInput", dest="testInput", help="Test Input file for the model accuracy")
parser.add_argument("-a","--externalTestFile", dest="externalTestFile", help="External Test Files for generating the UTs")
parser.add_argument("-q","--externalTestFileOutput", dest="externalTestFileOutput", help="External Test Files output for generating the UTs")

Post Processing script

python python postProcessingScript.py -i Gson_Plbart.txt -o finalOut55.txt -e errors55.txt

See Arguments 🔎

python parser.add_argument("-i", "--input", dest="input", help="Input txt file to begin the post processing with") parser.add_argument("-o", "--output", dest="output", help="Output file txt file aftet the post processing") parser.add_argument("-e", "--errorPath", dest="errorLogs", help="Errors Logs ")

AthenaReplication

To Train the BART model

python python training.py -i train.csv -p enPreTrain.csv -c codePreTrain.csv -eo enModel.pth -po preModel.pth -o model.pth -s src_fm_fc_ms_ff -t test.csv -v eval.csv -e 20 -pe 7 -ce 8 -a test.txt -q Defect4jTests.txt

See Arguments 🔎

python parser.add_argument("-i", "--trainInput", dest="trainInput", help="Training file for the model") parser.add_argument("-o", "--modelOutputDir", dest="outPath", help="Output Directory Path for the model") parser.add_argument("-s", "--sourceLabel", dest="sourceLabel", help="Source Label for the train.csv file") parser.add_argument("-t", "--testInput", dest="testInput", help="Test Input file for the model accuracy") parser.add_argument("-v", "--valInput", dest="valInput", help="Val Input file for the model accuracy") parser.add_argument("-e", "--epochs", dest="epochs", help="Epochs for the model") parser.add_argument("-a","--externalTestFile", dest="externalTestFile", help="External Test Files for generating the UTs") parser.add_argument("-q","--externalTestFileOutput", dest="externalTestFileOutput", help="External Test Files output for generating the UTs")

To Test the BART model

python testScript.py -i model.pth -t test.csv -a test.txt -q Defect4jTests.txt

See Arguments 🔎

parser.add_argument("-i", "--modelInput", dest="modelInput", help="Saved Model file for the testing the script")
parser.add_argument("-t", "--testInput", dest="testInput", help="Test Input file for the model accuracy")
parser.add_argument("-a","--externalTestFile", dest="externalTestFile", help="External Test Files for generating the UTs")
parser.add_argument("-q","--externalTestFileOutput", dest="externalTestFileOutput", help="External Test Files output for generating the UTs")

PLBART

To Train the plBart model

python python plBartTraining.py -i train.csv -o FinalplBartModelDir -s src_fm_fc_ms_ff -t test.csv -v eval.csv -ce 8 -a test.txt -q Defect4jTests.txt

See Arguments 🔎

python parser.add_argument("-i", "--trainInput", dest="trainInput", help="Training file for the model") parser.add_argument("-o", "--modelOutputDir", dest="outPath", help="Output Directory Path for the model") parser.add_argument("-s", "--sourceLabel", dest="sourceLabel", help="Source Label for the train.csv file") parser.add_argument("-t", "--testInput", dest="testInput", help="Test Input file for the model accuracy") parser.add_argument("-v", "--valInput", dest="valInput", help="Val Input file for the model accuracy") parser.add_argument("-e", "--epochs", dest="epochs", help="Epochs for the model") parser.add_argument("-a","--externalTestFile", dest="externalTestFile", help="External Test Files for generating the UTs") parser.add_argument("-q","--externalTestFileOutput", dest="externalTestFileOutput", help="External Test Files output for generating the UTs")

To Test the plBart model

python python plBartTest.py -i FinalPlBartModelDir -t test.csv -a test.txt -q Defect4jTests.txt

See Arguments 🔎

python parser.add_argument("-i", "--modelInput", dest="modelInput", help="Saved Model file for the testing the script") parser.add_argument("-t", "--testInput", dest="testInput", help="Test Input file for the model accuracy") parser.add_argument("-a","--externalTestFile", dest="externalTestFile", help="External Test Files for generating the UTs") parser.add_argument("-q","--externalTestFileOutput", dest="externalTestFileOutput", help="External Test Files output for generating the UTs")

CodeT5

To Train the codeT5 model

python python codeT5Training.py -i train.csv -o FinalplBartModelDir -s src_fm_fc_ms_ff -t test.csv -v eval.csv -ce 8 -a test.txt -q Defect4jTests.txt

See Arguments 🔎

python parser.add_argument("-i", "--trainInput", dest="trainInput", help="Training file for the model") parser.add_argument("-o", "--modelOutputDir", dest="outPath", help="Output Directory Path for the model") parser.add_argument("-s", "--sourceLabel", dest="sourceLabel", help="Source Label for the train.csv file") parser.add_argument("-t", "--testInput", dest="testInput", help="Test Input file for the model accuracy") parser.add_argument("-v", "--valInput", dest="valInput", help="Val Input file for the model accuracy") parser.add_argument("-e", "--epochs", dest="epochs", help="Epochs for the model") parser.add_argument("-a","--externalTestFile", dest="externalTestFile", help="External Test Files for generating the UTs") parser.add_argument("-q","--externalTestFileOutput", dest="externalTestFileOutput", help="External Test Files output for generating the UTs")

To Test the codeT5 model

python python codeT5Test.py -i FinalModelDir -t test.csv -a test.txt -q Defect4jTests.txt

See Arguments 🔎

python parser.add_argument("-i", "--modelInput", dest="modelInput", help="Saved Model file for the testing the script") parser.add_argument("-t", "--testInput", dest="testInput", help="Test Input file for the model accuracy") parser.add_argument("-a","--externalTestFile", dest="externalTestFile", help="External Test Files for generating the UTs") parser.add_argument("-q","--externalTestFileOutput", dest="externalTestFileOutput", help="External Test Files output for generating the UTs")

CodeBERT

To Train the codeBERT model

python python codeBERTTraining.py -i train.csv -o FinalplBartModelDir -s src_fm_fc_ms_ff -t test.csv -v eval.csv -ce 8 -a test.txt -q Defect4jTests.txt

See Arguments 🔎

python parser.add_argument("-i", "--trainInput", dest="trainInput", help="Training file for the model") parser.add_argument("-o", "--modelOutputDir", dest="outPath", help="Output Directory Path for the model") parser.add_argument("-s", "--sourceLabel", dest="sourceLabel", help="Source Label for the train.csv file") parser.add_argument("-t", "--testInput", dest="testInput", help="Test Input file for the model accuracy") parser.add_argument("-v", "--valInput", dest="valInput", help="Val Input file for the model accuracy") parser.add_argument("-e", "--epochs", dest="epochs", help="Epochs for the model") parser.add_argument("-a","--externalTestFile", dest="externalTestFile", help="External Test Files for generating the UTs") parser.add_argument("-q","--externalTestFileOutput", dest="externalTestFileOutput", help="External Test Files output for generating the UTs")

To Test the codeBERT model

python python codeBERT.py -i FinalModelDir -t test.csv -a test.txt -q Defect4jTests.txt

See Arguments 🔎

python parser.add_argument("-i", "--modelInput", dest="modelInput", help="Saved Model file for the testing the script") parser.add_argument("-t", "--testInput", dest="testInput", help="Test Input file for the model accuracy") parser.add_argument("-a","--externalTestFile", dest="externalTestFile", help="External Test Files for generating the UTs") parser.add_argument("-q","--externalTestFileOutput", dest="externalTestFileOutput", help="External Test Files output for generating the UTs")

CodeGPT

To Train the codeGPT model

python python codeGPTTraining.py -i train.csv -o FinalplBartModelDir -s src_fm_fc_ms_ff -t test.csv -v eval.csv -ce 8 -a test.txt -q Defect4jTests.txt

See Arguments 🔎

python parser.add_argument("-i", "--trainInput", dest="trainInput", help="Training file for the model") parser.add_argument("-o", "--modelOutputDir", dest="outPath", help="Output Directory Path for the model") parser.add_argument("-s", "--sourceLabel", dest="sourceLabel", help="Source Label for the train.csv file") parser.add_argument("-t", "--testInput", dest="testInput", help="Test Input file for the model accuracy") parser.add_argument("-v", "--valInput", dest="valInput", help="Val Input file for the model accuracy") parser.add_argument("-e", "--epochs", dest="epochs", help="Epochs for the model") parser.add_argument("-a","--externalTestFile", dest="externalTestFile", help="External Test Files for generating the UTs") parser.add_argument("-q","--externalTestFileOutput", dest="externalTestFileOutput", help="External Test Files output for generating the UTs")

To Test the codeGPT model

python python codeGPT.py -i FinalModelDir -t test.csv -a test.txt -q Defect4jTests.txt

See Arguments 🔎

python parser.add_argument("-i", "--modelInput", dest="modelInput", help="Saved Model file for the testing the script") parser.add_argument("-t", "--testInput", dest="testInput", help="Test Input file for the model accuracy") parser.add_argument("-a","--externalTestFile", dest="externalTestFile", help="External Test Files for generating the UTs") parser.add_argument("-q","--externalTestFileOutput", dest="externalTestFileOutput", help="External Test Files output for generating the UTs")