{
    "data_id": "43357",
    "name": "Within-project-Defect-Prediction-for-Ansible",
    "exact_name": "Within-project-Defect-Prediction-for-Ansible",
    "version": 1,
    "version_label": "v1.0",
    "description": "Context\nInfrastructure-as-code (IaC) is the DevOps strategy that allows management and provisioning of infrastructure through the definition of machine-readable files and automation around them, rather than physical hardware configuration or interactive configuration tools.\nOn the one hand, although IaC represents an ever-increasing widely adopted practice nowadays, still little is known concerning how to best maintain, speedily evolve, and continuously improve the code behind the IaC strategy in a measurable fashion. \nOn the other hand, source code measurements are often computed and analyzed to evaluate the different quality aspects of the software developed.\nIn particular, Infrastructure-as-Code is simply \"code\", as such it is prone to defects as any other programming languages.\nThis dataset targets the YAML-based Ansible language to devise defects prediction approaches for IaC based on Machine-learning.\n\nContent\nThe dataset contains metrics extracted from 86 open-source GitHub repositories based on the Ansible language that satisfied the following criteria:\n\nThe repository has at least one push event to its master branch in the last six months;\nThe repository has at least 2 releases;\nAt least 11 of the files in the repository are IaC scripts;\nThe repository has at least 2 core contributors;\nThe repository has evidence of continuous integration practice, such as the presence of a  .travis.yaml file;\nThe repository has a comments ratio of at least 0.2;\nThe repository has commit frequency of at least 2 per month on average;\nThe repository has an issue frequency of at least 0.023 events per month on average;\nThe repository has evidence of a license, such as the presence of a LICENSE.md file\nThe repository has at least 190 source lines of code.\n\nMetrics are grouped into three categories:\n\nIaC-oriented: metrics of structural properties derived from the source code of infrastructure scripts;\nDelta: metrics that capture the amount of change in a file between two successive releases, collected for each IaC-oriented metric;\nProcess: metrics that capture aspects of the development process rather than aspects about the code itself. Description of the process metrics in this dataset can be found here.\n\nAcknowledgements\nThanks to the open-source community.\n\nInspiration\nWhat source code properties and properties about the development process are good predictors of defects in Infrastructure-as-Code scripts?",
    "format": "arff",
    "uploader": "Elif Ceren Gok",
    "uploader_id": 30125,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2022-03-23 12:39:07",
    "update_comment": null,
    "last_update": "2022-03-23 12:39:07",
    "licence": "CC0: Public Domain",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/22102182\/dataset",
    "default_target_attribute": "failure_prone",
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "Within-project-Defect-Prediction-for-Ansible",
            "Context Infrastructure-as-code (IaC) is the DevOps strategy that allows management and provisioning of infrastructure through the definition of machine-readable files and automation around them, rather than physical hardware configuration or interactive configuration tools. On the one hand, although IaC represents an ever-increasing widely adopted practice nowadays, still little is known concerning how to best maintain, speedily evolve, and continuously improve the code behind the IaC strategy i "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 227272,
        "NumberOfFeatures": 113,
        "NumberOfClasses": 0,
        "NumberOfMissingValues": 757758,
        "NumberOfInstancesWithMissingValues": 13078,
        "NumberOfNumericFeatures": 109,
        "NumberOfSymbolicFeatures": 0,
        "Dimensionality": 0.0004972015910450913,
        "PercentageOfNumericFeatures": 96.46017699115043,
        "MajorityClassPercentage": null,
        "PercentageOfSymbolicFeatures": 0,
        "MajorityClassSize": null,
        "MinorityClassPercentage": null,
        "MinorityClassSize": null,
        "NumberOfBinaryFeatures": 0,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 5.754338413882924,
        "AutoCorrelation": 0.8973780200729525,
        "PercentageOfMissingValues": 2.9505715657228158
    },
    "tags": [
        {
            "uploader": "38960",
            "tag": "Computer Systems"
        },
        {
            "uploader": "38960",
            "tag": "Machine Learning"
        }
    ],
    "features": [
        {
            "name": "failure_prone",
            "index": "17",
            "type": "numeric",
            "distinct": "2",
            "missing": "0",
            "target": "1",
            "min": "0",
            "max": "1",
            "mean": "0",
            "stdev": "0"
        },
        {
            "name": "additions",
            "index": "0",
            "type": "numeric",
            "distinct": "374",
            "missing": "0",
            "min": "0",
            "max": "6967",
            "mean": "2",
            "stdev": "23"
        },
        {
            "name": "additions_avg",
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            "type": "numeric",
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            "missing": "0",
            "min": "0",
            "max": "6967",
            "mean": "1",
            "stdev": "18"
        },
        {
            "name": "additions_max",
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            "distinct": "286",
            "missing": "0",
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            "max": "6967",
            "mean": "2",
            "stdev": "20"
        },
        {
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            "distinct": "178",
            "missing": "3439",
            "min": "0",
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            "mean": "1",
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        },
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            "missing": "3439",
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            "mean": "15",
            "stdev": "35"
        },
        {
            "name": "change_set_avg",
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            "missing": "0",
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        },
        {
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        },
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        },
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        },
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            "missing": "0"
        },
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        {
            "name": "highest_contributor_experience",
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        },
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        {
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        },
        {
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        },
        {
            "name": "delta_num_authorized_key",
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            "missing": "13034",
            "min": "-4",
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        },
        {
            "name": "delta_num_block_error_handling",
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            "missing": "13034",
            "min": "-1",
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