<jupyter_start><jupyter_text>Experiments parameters file  Experiments 0.0.x<jupyter_code>#Experiment 0.0.0

path_to_trained_model = path_data+'models/wv/conv/[word2vec-Py-Java-SK-500-20E-1592607739.629433].model'
def libest_params():
        return {
        "vectorizationType": VectorizationType.word2vec,
        "linkType": LinkType.req2tc,
        "system": 'libest',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.REQ.value,
        "target_type": SoftwareArtifacts.TC.value,
        "system_path_config": {
            "system_path": path_data + 'se-benchmarking/traceability/testbeds/processed/[libest-all-corpus-1596063103.098236].csv',
            "sep": '~',
            "names": ['ids','conv'],
            "prep": Preprocessing.conv
        },
        "path_mappings": path_data + "se-benchmarking/traceability/testbeds/groundtruth/english/[libest-ground-req-to-tc].txt",
        "saving_path": path_data + 'metrics/traceability/experiments0.0.x/',
        "names": ['Source','Target','Linked?'],
    }
#Experiments 0.0.1 <<-- doc2vec
path_to_trained_model = path_data+'/models/pv/conv/[doc2vec-Java-PVDBOW-500-20E-1592603043.674285].model'
def libest_params():
        return {
        "vectorizationType": VectorizationType.doc2vec,
        "linkType": LinkType.req2tc,
        "system": 'libest',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.REQ.value,
        "target_type": SoftwareArtifacts.TC.value,
        "system_path_config": {
            "system_path": path_data + 'se-benchmarking/traceability/testbeds/processed/[libest-all-corpus-1596063103.098236].csv',
            "sep": '~',
            "names": ['ids','conv'],
            "prep": Preprocessing.conv
        },
        "path_mappings": path_data + "se-benchmarking/traceability/testbeds/groundtruth/english/[libest-ground-req-to-tc].txt",
        "saving_path": path_data + 'metrics/traceability/experiments0.0.x/',
        "names": ['Source','Target','Linked?']
        }
#Experiments 0.0.2 <<-- word2vec
path_to_trained_model = path_data+'/models/wv/conv/[word2vec-Py-Java-SK-500-20E-1592607739.629433].model'
def sacp_params():
        return {
        "vectorizationType": VectorizationType.word2vec,
        "linkType": LinkType.issue2src,
        "system": 'sacp-python-common',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.PR.value,
        "target_type": SoftwareArtifacts.PY.value,
        "system_path_config": {
            "system_path": '/tf/data/cisco/sacp_data/[sacp-python-common-all-corpus-1596383717.992744].csv',
            "sep": '~',
            "names": ['ids','conv'],
            "prep": Preprocessing.conv
        },
        "path_mappings": "/tf/data/cisco/sacp_data/sacp-pr-mappings.csv",
        "saving_path": path_data + 'metrics/traceability/experiments0.0.x/',
        "names": ['Source','Target','Linked?']
        }
#Experiments 0.0.3 <<-- doc2vec
path_to_trained_model = path_data+'/models/pv/conv/[doc2vec-Py-Java-PVDBOW-500-20E-1592609630.689167].model'
def sacp_params():
        return {
        "vectorizationType": VectorizationType.doc2vec,
        "linkType": LinkType.issue2src,
        "system": 'sacp-python-common',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.PR.value,
        "target_type": SoftwareArtifacts.PY.value,
        "system_path_config": {
            "system_path": '/tf/data/cisco/sacp_data/[sacp-python-common-all-corpus-1596383717.992744].csv',
            "sep": '~',
            "names": ['ids','conv'],
            "prep": Preprocessing.conv
        },
        "path_mappings": "/tf/data/cisco/sacp_data/sacp-pr-mappings.csv",
        "saving_path": path_data + 'metrics/traceability/experiments0.0.x/',
        "names": ['Source','Target','Linked?']
        }
#Experiment 0.0.4

path_to_trained_model = path_data+'models/wv/conv/[word2vec-Py-Java-SK-500-20E-1592607739.629433].model'
def albergate_params():
        return {
        "vectorizationType": VectorizationType.word2vec,
        "linkType": LinkType.req2src,
        "system": 'albergate',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.REQ.value,
        "target_type": SoftwareArtifacts.SRC.value,
        "system_path_config": {
            "system_path": path_data + 'se-benchmarking/traceability/testbeds/processed/[albergate-all-corpus-1609208282.940618].csv',
            "sep": '~',
            "names": ['ids','conv'],
            "prep": Preprocessing.conv
        },
        "path_mappings": path_data + "se-benchmarking/traceability/testbeds/groundtruth/italian/[albergate-ground-req-to-src].txt",
        "saving_path": path_data + 'metrics/traceability/experiments0.0.x/',
        "names": ['Source','Target','Linked?'],
    }
#Experiment 0.0.5

path_to_trained_model = path_data+'models/wv/conv/[word2vec-Py-Java-SK-500-20E-1592607739.629433].model'
def ebt_params():
        return {
        "vectorizationType": VectorizationType.word2vec,
        "linkType": LinkType.req2src,
        "system": 'ebt',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.REQ.value,
        "target_type": SoftwareArtifacts.SRC.value,
        "system_path_config": {
            "system_path": path_data + 'se-benchmarking/traceability/testbeds/processed/[ebt-all-corpus-1609221582.171744].csv',
            "sep": '~',
            "names": ['ids','conv'],
            "prep": Preprocessing.conv
        },
        "path_mappings": path_data + "se-benchmarking/traceability/testbeds/groundtruth/english/[ebt-ground-req-to-src].txt",
        "saving_path": path_data + 'metrics/traceability/experiments0.0.x/',
        "names": ['Source','Target','Linked?'],
    }
#Experiment 0.0.6

path_to_trained_model = path_data+'models/wv/conv/[word2vec-Py-Java-SK-500-20E-1592607739.629433].model'

def etour_params():
        return {
        "vectorizationType": VectorizationType.word2vec,
        "linkType": LinkType.uc2src,
        "system": 'etour',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.UC.value,
        "target_type": SoftwareArtifacts.SRC.value,
        "system_path_config": {
            "system_path": path_data + 'se-benchmarking/traceability/testbeds/processed/[etour-all-corpus-1609209368.279199].csv',
            "sep": '~',
            "names": ['ids','conv'],
            "prep": Preprocessing.conv
        },
        "path_mappings": path_data + "se-benchmarking/traceability/testbeds/groundtruth/italian/[etour-ground-uc-to-src].txt",
        "saving_path": path_data + 'metrics/traceability/experiments0.0.x/',
        "names": ['Source','Target','Linked?'],
    }
#Experiment 0.0.7

path_to_trained_model = path_data+'models/wv/conv/[word2vec-Py-Java-SK-500-20E-1592607739.629433].model'
def itrust_params():
        return {
        "vectorizationType": VectorizationType.word2vec,
        "linkType": LinkType.uc2src,
        "system": 'itrust',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.UC.value,
        "target_type": SoftwareArtifacts.SRC.value,
        "system_path_config": {
            "system_path": path_data + 'se-benchmarking/traceability/testbeds/processed/[itrust-all-corpus-1609210989.304283].csv',
            "sep": '~',
            "names": ['ids','conv'],
            "prep": Preprocessing.conv
        },
        "path_mappings": path_data + "se-benchmarking/traceability/testbeds/groundtruth/english/[itrust-ground-uc-to-src].txt",
        "saving_path": path_data + 'metrics/traceability/experiments0.0.x/',
        "names": ['Source','Target','Linked?'],
    }
#Experiment 0.0.8

path_to_trained_model = path_data+'models/wv/conv/[word2vec-Py-Java-SK-500-20E-1592607739.629433].model'
def smos_params():
        return {
        "vectorizationType": VectorizationType.word2vec,
        "linkType": LinkType.uc2src,
        "system": 'smos',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.UC.value,
        "target_type": SoftwareArtifacts.SRC.value,
        "system_path_config": {
            "system_path": path_data + 'se-benchmarking/traceability/testbeds/processed/[smos-all-corpus-1609210822.872445].csv',
            "sep": '~',
            "names": ['ids','conv'],
            "prep": Preprocessing.conv
        },
        "path_mappings": path_data + "se-benchmarking/traceability/testbeds/groundtruth/italian/[smos-ground-uc-to-src].txt",
        "saving_path": path_data + 'metrics/traceability/experiments0.0.x/',
        "names": ['Source','Target','Linked?'],
    }<jupyter_output><empty_output><jupyter_text>Experiments 1.0.x 8K<jupyter_code>#Experiment 1.0.0 <<-- word2vec

path_model_prefix = path_data+'models/bpe/sentencepiece/wiki_py_java_bpe_8k'
path_to_trained_model = path_data+'models/wv/bpe8k/[word2vec-Java-Py-SK-500-20E-8k-1594090297.869643].model'
def libest_params():
        return {
        "vectorizationType": VectorizationType.word2vec,
        "linkType": LinkType.req2tc,
        "system": 'libest',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.REQ.value,
        "target_type": SoftwareArtifacts.TC.value,
        "system_path_config": {
            "system_path": path_data + 'se-benchmarking/traceability/testbeds/processed/[libest-all-corpus-1596063103.098236].csv',
            "sep": '~',
            "names": ['ids','bpe8k'],
            "prep": Preprocessing.bpe
        },
        "path_mappings": path_data + "se-benchmarking/traceability/testbeds/groundtruth/english/[libest-ground-req-to-tc].txt",
        "saving_path": path_data + 'metrics/traceability/experiments1.0.x/',
        "names": ['Source','Target','Linked?'],
        "model_prefix": path_model_prefix
        }
#Experiment 1.0.1 <<-- doc2vec

path_to_trained_model = path_data+'models/pv/bpe8k/[doc2vec-Py-Java-PVDBOW-500-20E-8k-1594572857.17191].model'
def libest_params():
        return {
        "vectorizationType": VectorizationType.doc2vec,
        "linkType": LinkType.req2tc,
        "system": 'libest',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.REQ.value,
        "target_type": SoftwareArtifacts.TC.value,
        "system_path_config": {
            "system_path": path_data + 'se-benchmarking/traceability/cisco/libest_data/[libest-all-corpus-1596063103.098236].csv',
            "sep": '~',
            "names": ['ids','bpe8k'],
            "prep": Preprocessing.bpe
        },
        "path_mappings": path_data + "se-benchmarking/traceability/testbeds/groundtruth/english/[libest-ground-req-to-tc].txt",
        "saving_path": path_data + 'metrics/traceability/experiments1.0.x/',
        "names": ['Source','Target','Linked?'],
        }
#Experiments 1.0.2 <<-- word2vec
path_model_prefix = path_data+'models/bpe/sentencepiece/wiki_py_java_bpe_8k'
path_to_trained_model = path_data+'/models/wv/bpe8k/[word2vec-Java-Py-SK-500-20E-8k-1594090297.869643].model'
def sacp_params():
        return {
        "vectorizationType": VectorizationType.word2vec,
        "linkType": LinkType.issue2src,
        "system": 'sacp-python-common',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.PR.value,
        "target_type": SoftwareArtifacts.PY.value,
        "system_path_config": {
            "system_path": '/tf/data/cisco/sacp_data/[sacp-python-common-all-corpus-1609224778.517111].csv',
            "sep": '~',
            "names": ['ids','bpe8k'],
            "prep": Preprocessing.bpe
        },
        "path_mappings": "/tf/data/cisco/sacp_data/sacp-pr-mappings.csv",
        "saving_path": path_data + 'metrics/traceability/experiments1.0.x/',
        "names": ['Source','Target','Linked?'],
        "model_prefix": path_model_prefix
        }
#Experiments 1.0.3 <<-- doc2vec
path_model_prefix = path_data+'models/bpe/sentencepiece/wiki_py_java_bpe_8k'
path_to_trained_model = path_data+'/models/pv/bpe8k/[doc2vec-Py-Java-PVDBOW-500-20E-8k-1594572857.17191].model'
def sacp_params():
        return {
        "vectorizationType": VectorizationType.doc2vec,
        "linkType": LinkType.issue2src,
        "system": 'sacp-python-common',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.PR.value,
        "target_type": SoftwareArtifacts.PY.value,
        "system_path_config": {
            "system_path": '/tf/data/cisco/sacp_data/[sacp-python-common-all-corpus-1596383717.992744].csv',
            "sep": '~',
            "names": ['ids','bpe8k'],
            "prep": Preprocessing.bpe
        },
        "path_mappings": "/tf/data/cisco/sacp_data/sacp-pr-mappings.csv",
        "saving_path": path_data + 'metrics/traceability/experiments1.0.x/',
        "names": ['Source','Target','Linked?'],
        "model_prefix": path_model_prefix
        }<jupyter_output><empty_output><jupyter_text>Experiments 1.1.x 32K<jupyter_code>#Experiments 1.1.0 <<-- word2vec
path_model_prefix = path_data+'models/bpe/sentencepiece/wiki_py_java_bpe_32k'
path_to_trained_model = path_data+'/models/wv/bpe32k/[word2vec-Py-Java-SK-500-20E-32k-1593748814.350487].model'
def libest_params():
        return {
        "vectorizationType": VectorizationType.word2vec,
        "linkType": LinkType.req2tc,
        "system": 'sacp-python-common',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.REQ.value,
        "target_type": SoftwareArtifacts.TC.value,
        "system_path_config": {
            "system_path": path_data + 'se-benchmarking/traceability/testbeds/processed/[libest-all-corpus-1596063103.098236].csv',
            "sep": '~',
            "names": ['ids','bpe32k'],
            "prep": Preprocessing.bpe
        },
        "path_mappings": path_data + "se-benchmarking/traceability/testbeds/groundtruth/english/[libest-ground-req-to-tc].txt",
        "saving_path": path_data + 'metrics/traceability/experiments1.1.x/',
        "names": ['Source','Target','Linked?'],
        "model_prefix": path_model_prefix
        }
#Experiment 1.1.1 <<-- doc2vec

path_model_prefix = path_data+'models/bpe/sentencepiece/wiki_py_java_bpe_32k'
path_to_trained_model = path_data+'models/pv/bpe32k/[doc2vec-Java-py-PVDBOW-500-20E-32k-1595514224.303453].model'
def libest_params():
        return {
        "vectorizationType": VectorizationType.doc2vec,
        "linkType": LinkType.req2tc,
        "system": 'libest',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.REQ.value,
        "target_type": SoftwareArtifacts.TC.value,
        "system_path_config": {
            "system_path": path_data + 'se-benchmarking/traceability/cisco/libest_data/[libest-all-corpus-1596063103.098236].csv',
            "sep": '~',
            "names": ['ids','bpe32k'],
            "prep": Preprocessing.bpe
        },
        "path_mappings": path_data + "se-benchmarking/traceability/testbeds/groundtruth/english/[libest-ground-req-to-tc].txt",
        "saving_path": path_data + 'metrics/traceability/experiments1.1.x/',
        "names": ['Source','Target','Linked?'],
        "model_prefix": path_model_prefix
        }
#Experiments 1.1.2 <<-- word2vec
path_model_prefix = path_data+'models/bpe/sentencepiece/wiki_py_java_bpe_32k'
path_to_trained_model = path_data+'/models/wv/bpe32k/[word2vec-Py-Java-SK-500-20E-32k-1593748814.350487].model'
def sacp_params():
        return {
        "vectorizationType": VectorizationType.word2vec,
        "linkType": LinkType.issue2src,
        "system": 'sacp-python-common',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.PR.value,
        "target_type": SoftwareArtifacts.PY.value,
        "system_path_config": {
            "system_path": '/tf/data/cisco/sacp_data/[sacp-python-common-all-corpus-1609224778.517111].csv',
            "sep": '~',
            "names": ['ids','bpe32k'],
            "prep": Preprocessing.bpe
        },
        "path_mappings": "/tf/data/cisco/sacp_data/sacp-pr-mappings.csv",
        "saving_path": path_data + 'metrics/traceability/experiments1.1.x/',
        "names": ['Source','Target','Linked?'],
        "model_prefix": path_model_prefix

        }
#Experiment 1.1.3 <<-- doc2vec
path_model_prefix = path_data+'models/bpe/sentencepiece/wiki_py_java_bpe_32k'
path_to_trained_model = path_data+'/models/pv/bpe32k/[doc2vec-Java-py-PVDBOW-500-20E-32k-1595514224.303453].model'
def sacp_params():
        return {
        "vectorizationType": VectorizationType.doc2vec,
        "linkType": LinkType.issue2src,
        "system": 'sacp-python-common',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.PR.value,
        "target_type": SoftwareArtifacts.PY.value,
        "system_path_config": {
            "system_path": '/tf/data/cisco/sacp_data/[sacp-python-common-all-corpus-1609224778.517111].csv',
            "sep": '~',
            "names": ['ids','bpe32k'],
            "prep": Preprocessing.bpe
        },
        "path_mappings": "/tf/data/cisco/sacp_data/sacp-pr-mappings.csv",
        "saving_path": path_data + 'metrics/traceability/experiments1.1.x/',
        "names": ['Source','Target','Linked?'],
        "model_prefix": path_model_prefix
        }<jupyter_output><empty_output><jupyter_text>Experiments 1.1.x 128k<jupyter_code>#Experiments 1.2.0 <<-- word2vec
path_model_prefix = path_data+'models/bpe/sentencepiece/wiki_py_java_bpe_128k'
path_to_trained_model = path_data+'/models/wv/bpe128k/[word2vec-Java-Py-SK-500-20E-128k-1594873397.267055].model'
def libest_params():
        return {
        "vectorizationType": VectorizationType.word2vec,
        "linkType": LinkType.req2tc,
        "system": 'sacp-python-common',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.REQ.value,
        "target_type": SoftwareArtifacts.TC.value,
        "system_path_config": {
            "system_path": path_data + 'se-benchmarking/traceability/testbeds/processed/[libest-all-corpus-1596063103.098236].csv',
            "sep": '~',
            "names": ['ids','bpe128k'],
            "prep": Preprocessing.bpe
        },
        "path_mappings": path_data + "se-benchmarking/traceability/testbeds/groundtruth/english/[libest-ground-req-to-tc].txt",
        "saving_path": path_data + 'metrics/traceability/experiments1.2.x/',
        "names": ['Source','Target','Linked?'],
        "model_prefix": path_model_prefix
        }
#Experiment 1.2.1 <<-- doc2vec

path_model_prefix = path_data+'models/bpe/sentencepiece/wiki_py_java_bpe_128k'
path_to_trained_model = path_data+'models/pv/bpe128k/[doc2vec-Java-py-PVDBOW-500-20E-128k-1595350537.25915].model'
def libest_params():
        return {
        "vectorizationType": VectorizationType.doc2vec,
        "linkType": LinkType.req2tc,
        "system": 'libest',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.REQ.value,
        "target_type": SoftwareArtifacts.TC.value,
        "system_path_config": {
            "system_path": path_data + 'se-benchmarking/traceability/testbeds/processed/[libest-all-corpus-1596063103.098236].csv',
            "sep": '~',
            "names": ['ids','bpe128k'],
            "prep": Preprocessing.bpe
        },
        "path_mappings": path_data + "se-benchmarking/traceability/testbeds/groundtruth/english/[libest-ground-req-to-tc].txt",
        "saving_path": path_data + 'metrics/traceability/experiments1.2.x/',
        "names": ['Source','Target','Linked?'],
        "model_prefix": path_model_prefix
        }
#Experiments 1.2.2 <<-- word2vec
path_model_prefix = path_data+'models/bpe/sentencepiece/wiki_py_java_bpe_128k'
path_to_trained_model = path_data+'/models/wv/bpe128k/[word2vec-Java-Py-SK-500-20E-128k-1594873397.267055].model'
def sacp_params():
        return {
        "vectorizationType": VectorizationType.word2vec,
        "linkType": LinkType.issue2src,
        "system": 'sacp-python-common',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.PR.value,
        "target_type": SoftwareArtifacts.PY.value,
        "system_path_config": {
            "system_path": '/tf/data/cisco/sacp_data/[sacp-python-common-all-corpus-1609224778.517111].csv',
            "sep": '~',
            "names": ['ids','bpe128k'],
            "prep": Preprocessing.bpe
        },
        "path_mappings": "/tf/data/cisco/sacp_data/sacp-pr-mappings.csv",
        "saving_path": path_data + 'metrics/traceability/experiments1.2.x/',
        "names": ['Source','Target','Linked?'],
        "model_prefix": path_model_prefix
        }
#Experiment 1.2.3 <<-- doc2vec
path_model_prefix = path_data+'models/bpe/sentencepiece/wiki_py_java_bpe_128k'
path_to_trained_model = path_data+'/models/pv/bpe128k/[doc2vec-Java-py-PVDBOW-500-20E-128k-1595350537.25915].model'
def sacp_params():
        return {
        "vectorizationType": VectorizationType.doc2vec,
        "linkType": LinkType.issue2src,
        "system": 'sacp-python-common',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.PR.value,
        "target_type": SoftwareArtifacts.PY.value,
        "system_path_config": {
            "system_path": '/tf/data/cisco/sacp_data/[sacp-python-common-all-corpus-1609224778.517111].csv', 
            "sep": '~',
            "names": ['ids','bpe128k'],
            "prep": Preprocessing.bpe
        },
        "path_mappings": "/tf/data/cisco/sacp_data/sacp-pr-mappings.csv",
        "saving_path": path_data + 'metrics/traceability/experiments1.2.x/',
        "names": ['Source','Target','Linked?'],
        "model_prefix": path_model_prefix
        }<jupyter_output><empty_output><jupyter_text>Experiments 2.0.x<jupyter_code>#Experiment 2.0.0

path_to_trained_model = path_data+'models/wv/conv/[word2vec-Py-Java-Wiki-SK-500-20E[5]-1593060168.198436].model'
def libest_params():
        return {
        "vectorizationType": VectorizationType.word2vec,
        "linkType": LinkType.req2tc,
        "system": 'libest',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.REQ.value,
        "target_type": SoftwareArtifacts.TC.value,
        "system_path_config": {
            "system_path": path_data + 'se-benchmarking/traceability/testbeds/processed/[libest-all-corpus-1596063103.098236].csv',
            "sep": '~',
            "names": ['ids','conv'],
            "prep": Preprocessing.conv
        },
        "path_mappings": path_data + "se-benchmarking/traceability/testbeds/groundtruth/english/[libest-ground-req-to-tc].txt",
        "saving_path": path_data + 'metrics/traceability/experiments2.0.x/',
        "names": ['Source','Target','Linked?'],
    }
#Experiment 2.0.1 <<-- doc2vec
path_to_trained_model = path_data+'models/pv/conv/[doc2vec-Py-Java-Wiki-PVDBOW-500-20E[5]-1592888296.590531].model'
def libest_params():
        return {
        "vectorizationType": VectorizationType.doc2vec,
        "linkType": LinkType.req2tc,
        "system": 'libest',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.REQ.value,
        "target_type": SoftwareArtifacts.TC.value,
        "system_path_config": {
            "system_path": path_data + 'se-benchmarking/traceability/testbeds/processed/[libest-all-corpus-1596063103.098236].csv',
            "sep": '~',
            "names": ['ids','conv'],
            "prep": Preprocessing.conv
        },
        "path_mappings": path_data + "se-benchmarking/traceability/testbeds/groundtruth/english/[libest-ground-req-to-tc].txt",
        "saving_path": path_data + 'metrics/traceability/experiments2.0.x/',
        "names": ['Source','Target','Linked?'],
        }
#Experiments 2.0.2 <<-- word2vec
path_to_trained_model = path_data+'/models/wv/conv/[word2vec-Py-Java-Wiki-SK-500-20E[5]-1593060168.198436].model'
def sacp_params():
        return {
        "vectorizationType": VectorizationType.word2vec,
        "linkType": LinkType.issue2src,
        "system": 'sacp-python-common',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.PR.value,
        "target_type": SoftwareArtifacts.PY.value,
        "system_path_config": {
            "system_path": '/tf/data/cisco/sacp_data/[sacp-python-common-all-corpus-1609224778.517111].csv',
            "sep": '~',
            "names": ['ids','conv'],
            "prep": Preprocessing.conv
        },
        "path_mappings": "/tf/data/cisco/sacp_data/sacp-pr-mappings.csv",
        "saving_path": path_data + 'metrics/traceability/experiments2.0.x/',
        "names": ['Source','Target','Linked?']
        }
#Experiment 2.0.3 <<-- doc2vec
path_to_trained_model = path_data+'/models/pv/conv/[doc2vec-Py-Java-Wiki-PVDBOW-500-20E[5]-1592888296.590531].model'
def sacp_params():
        return {
        "vectorizationType": VectorizationType.doc2vec,
        "linkType": LinkType.issue2src,
        "system": 'sacp-python-common',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.PR.value,
        "target_type": SoftwareArtifacts.PY.value,
        "system_path_config": {
            "system_path": '/tf/data/cisco/sacp_data/[sacp-python-common-all-corpus-1609224778.517111].csv', 
            "sep": '~',
            "names": ['ids','conv'],
            "prep": Preprocessing.conv
        },
        "path_mappings": "/tf/data/cisco/sacp_data/sacp-pr-mappings.csv",
        "saving_path": path_data + 'metrics/traceability/experiments2.0.x/',
        "names": ['Source','Target','Linked?']
        }<jupyter_output><empty_output><jupyter_text>Experiments 3.0.x<jupyter_code>#Experiment 3.0.4 <<-- doc2vec
path_to_trained_model = path_data+'models/pv/conv/[doc2vec-Py-Java-PVDBOW-500-20E-1592609630.689167].model'
def albergate_params():
        return {
        "vectorizationType": VectorizationType.doc2vec,
        "linkType": LinkType.req2src,
        "system": 'albergate',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.REQ.value,
        "target_type": SoftwareArtifacts.SRC.value,
        "system_path_config": {
            "system_path": path_data + 'se-benchmarking/traceability/testbeds/processed/[albergate-all-corpus-1609208282.940618].csv',
            "sep": '~',
            "names": ['ids','conv'],
            "prep": Preprocessing.conv
        },
        "path_mappings": path_data + "se-benchmarking/traceability/testbeds/groundtruth/italian/[albergate-ground-req-to-src].txt",
        "saving_path": path_data + 'metrics/traceability/experiments3.0.x/',
        "names": ['Source','Target','Linked?'],
        }
#Experiment 3.0.5 <<-- doc2vec
path_to_trained_model = path_data+'models/pv/conv/[doc2vec-Py-Java-PVDBOW-500-20E-1592609630.689167].model'
def ebt_params():
        return {
        "vectorizationType": VectorizationType.doc2vec,
        "linkType": LinkType.req2src,
        "system": 'ebt',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.REQ.value,
        "target_type": SoftwareArtifacts.SRC.value,
        "system_path_config": {
            "system_path": path_data + 'se-benchmarking/traceability/testbeds/processed/[ebt-all-corpus-1609221582.171744].csv',
            "sep": '~',
            "names": ['ids','conv'],
            "prep": Preprocessing.conv
        },
        "path_mappings": path_data + "se-benchmarking/traceability/testbeds/groundtruth/english/[ebt-ground-req-to-src].txt",
        "saving_path": path_data + 'metrics/traceability/experiments3.0.x/',
        "names": ['Source','Target','Linked?'],
        }
#Experiment 3.0.6 <<-- doc2vec
path_to_trained_model = path_data+'models/pv/conv/[doc2vec-Py-Java-PVDBOW-500-20E-1592609630.689167].model'
def etour_params():
        return {
        "vectorizationType": VectorizationType.doc2vec,
        "linkType": LinkType.uc2src,
        "system": 'etour',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.UC.value,
        "target_type": SoftwareArtifacts.SRC.value,
        "system_path_config": {
            "system_path": path_data + 'se-benchmarking/traceability/testbeds/processed/[etour-all-corpus-1609209368.279199].csv',
            "sep": '~',
            "names": ['ids','conv'],
            "prep": Preprocessing.conv
        },
        "path_mappings": path_data + "se-benchmarking/traceability/testbeds/groundtruth/italian/[etour-ground-uc-to-src].txt",
        "saving_path": path_data + 'metrics/traceability/experiments3.0.x/',
        "names": ['Source','Target','Linked?'],
        }
#Experiment 3.0.7 <<-- doc2vec
path_to_trained_model = path_data+'models/pv/conv/[doc2vec-Py-Java-PVDBOW-500-20E-1592609630.689167].model'
def itrust_params():
        return {
        "vectorizationType": VectorizationType.doc2vec,
        "linkType": LinkType.uc2src,
        "system": 'itrust',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.UC.value,
        "target_type": SoftwareArtifacts.SRC.value,
        "system_path_config": {
            "system_path": path_data + 'se-benchmarking/traceability/testbeds/processed/[itrust-all-corpus-1610408791.737875].csv',
            "sep": '~',
            "names": ['ids','conv'],
            "prep": Preprocessing.conv
        },
        "path_mappings": path_data + "se-benchmarking/traceability/testbeds/groundtruth/english/[itrust-ground-uc-to-src].txt",
        "saving_path": path_data + 'metrics/traceability/experiments3.0.x/',
        "names": ['Source','Target','Linked?'],
        }
#Experiment 3.0.8 <<-- doc2vec
path_to_trained_model = path_data+'models/pv/conv/[doc2vec-Py-Java-PVDBOW-500-20E-1592609630.689167].model'
def smos_params():
        return {
        "vectorizationType": VectorizationType.doc2vec,
        "linkType": LinkType.uc2src,
        "system": 'smos',
        "path_to_trained_model": path_to_trained_model,
        "source_type": SoftwareArtifacts.UC.value,
        "target_type": SoftwareArtifacts.SRC.value,
        "system_path_config": {
            "system_path": path_data + 'se-benchmarking/traceability/testbeds/processed/[smos-all-corpus-1609210822.872445].csv',
            "sep": '~',
            "names": ['ids','conv'],
            "prep": Preprocessing.conv
        },
        "path_mappings": path_data + "se-benchmarking/traceability/testbeds/groundtruth/italian/[smos-ground-uc-to-src].txt",
        "saving_path": path_data + 'metrics/traceability/experiments3.0.x/',
        "names": ['Source','Target','Linked?'],
        }<jupyter_output><empty_output>
StarcoderdataJupyterStructuredCleanDedup