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Advanced Detect Smell(ADS) Extrac Metrics 🔎

Maven Central status javadoc

ADS-Extract-Metrics is the lib used by InSet tool to extract metrics from oriented objected systems. Intelligent Smell Detector (InSet) is a tool created by Warteruzannan Soyer Cunha for detecting architectural smells using machine learning. It was created within the AdvanSE laboratory of the Universidade Federal de São Carlos (UFSCar).

(ADS) Extrac Metrics uses the libs JDpende and CKJM Extend behind de scenes.

Requiriments

  • Java +8

Using JAR as CLI

Download jar file here

java -jar ads-extract-metrics-0.0.4.jar <path of java project> -p <path to output files>

Example of Output

Output shows the metrics by packages and classes.

Name of metrics Class or package Type of Value
AMC class Numeric
Name class String
CAM class Numeric
CBM class Numeric
CBO class Numeric
Ca class Numeric
Ce class Numeric
DAM class Numeric
DIT class Numeric
IC class Numeric
LCOM class Numeric
LCOM3 class Numeric
LOC class Numeric
MFA class Numeric
MOA class Numeric
NOC class Numeric
NPM class Numeric
RFC class Numeric
WMC class Numeric
abstractClassCount package Numeric
abstractness package Numeric
afferentCoupling package Numeric
afferents package Numeric
classCount package Numeric
concreteClassCount package Numeric
containsCycle package Numeric
distance package Numeric
efferentCoupling package Numeric
efferents package Numeric
instability package Numeric
volatility package Numeric 
{
  "classes": [
    {
      "CC": 2,
      "LOC": 14,
      "Ce": 2,
      "package": "com.controllers",
      "NOC": 0,
      "MFA": 0.0,
      "NPM": 2,
      "WMC": 2,
      "DIT": 1,
      "RFC": 4,
      "CAM": 0.6666666666666666,
      "CBM": 0,
      "LCOM3": 0.0,
      "CBO": 3,
      "DAM": 1.0,
      "LCOM": 0,
      "AMC": 5.5,
      "name": "com.controllers.ConsultaController",
      "IC": 0,
      "Ca": 1,
      "MOA": 1
    }
  ],
  "name": "/home/warteruzannan/Workspace/consulta/conulta/",
  "packages": [
    {
      "classes": [
        {
          "CC": 2,
          "LOC": 14,
          "Ce": 2,
          "package": "com.controllers",
          "NOC": 0,
          "MFA": 0.0,
          "NPM": 2,
          "WMC": 2,
          "DIT": 1,
          "RFC": 4,
          "CAM": 0.6666666666666666,
          "CBM": 0,
          "LCOM3": 0.0,
          "CBO": 3,
          "DAM": 1.0,
          "LCOM": 0,
          "AMC": 5.5,
          "name": "com.controllers.ConsultaController",
          "IC": 0,
          "Ca": 1,
          "MOA": 1
        }
      ],
      "name": "com.controllers",
      "dependents": ["com.main"],
      "metrics": {
        "efferentCoupling": 2,
        "concreteClassCount": 1,
        "afferentCoupling": 1,
        "distance": 0.3333333,
        "instability": 0.6666667,
        "afferents": 1,
        "efferents": 2,
        "volatility": 1,
        "abstractClassCount": 0,
        "containsCycle": 0,
        "abstractness": 0.0
      },
      "dependencies": ["com.services", "com.models"]
    }
  ]
}

Development Enviroment

Install dependencies using Mavem

Execute maven clean

Build:

To build it tool execute the file build.sh

You can cite this using

@INPROCEEDINGS{warteruzannan2020,
  AUTHOR="Warteruzannan Cunha and Guisella Angulo and Valter Camargo",
  TITLE="InSet: A Tool to Identify Architecture Smells Using Machine Learning",
  BOOKTITLE="34th Brazilian Symposium on Software Engineering (SBES '20), October 21--23, 2020, Natal, Brazil",
  DAYS="19-23",
  MONTH="oct",
  YEAR="2020",
  KEYWORDS="Software Maintenance; Software Quality",
  DOI={10.1145/3422392.3422507},
  ISBN={978-1-4503-8753-8/20/09},
}

Java