Advanced Detect Smell(ADS) Extrac Metrics 🔎

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},
}