Skip to main content

MC/DC analizer for Python

Project description

pymcdc

A Python package to analyze and verify MC/DC (Modified Condition/Decision Coverage) criteria.

V 0.1.1 - add option --cover to manually set requeriment as covered/not covered

V 0.1.3 - allows source file and test file to be in different directories

V 0.2 - do some bug fixes.

V 0.2.1 - 'Don't care' conditions are shown in the requirements lists.

V 0.2.2 - Introduces argument --assert to enable analysis on assert statements.

Installation

pip install pymcdc

🚀 How to Use

Analyzes the file foo.py and displays the condition combinations that must be satisfied for each decision.By default assert statements are not considered to generate MC/DC requirements. This can be changed with --assert argument.

python -m pymcdc foo.py
python -m pymcdc --assert foo.py

Executes foo.py and shows which MC/DC combinations were covered.

python -m pymcdc --run foo.py

Executes foo.py with arguments ['bar', '1972'] and shows which MC/DC combinations were covered.

python -m pymcdc --run --args "bar 1972" foo.py

Cumulatively runs foo.py and displays the MC/DC combinations covered across multiple runs.

python -m pymcdc --run --append foo.py

Runs foo.py using the test cases defined in test_foo.py.
The --unittest argument can be used multiple times. The --append option is also supported here.

python -m pymcdc --unittest test_foo.py foo.py
python -m pymcdc --unittest tests/test_foo.py src/foo.py

Sets requirement 1 of decision (5,5) as covered and requirement 3 of decision (18,5) as not covered.

python -m pymcdc --cover +5 5 1 -18 5 3 foo.py

🔍 Example

python3 -m pymcdc isleap.py
Line number: (5, 5)
Decicion: a < 1 or a > 9999
Combinations to be covered: 
    | Result.   a < 1    a > 9999   Cover. 
-------------------------------------------
  1 |  False    False     False     False  
  2 |   True    True       ----     False  
  3 |   True    False      True     False  


Covered 0 out of 3 requirements in 1 decisions (0%)
	      
Run time: 0.00052 
python3 -m pymcdc --run isleap.py
Line number: (5, 5)
Decicion: a < 1 or a > 9999
Combinations to be covered: 
    | Result.   a < 1    a > 9999   Cover. 
-------------------------------------------
  1 |  False    False     False      True  
  2 |   True    True       ----     False  
  3 |   True    False      True      True  


Covered 2 out of 3 requirements in 1 decisions (66%)
python3 -m pymcdc --unittest test_isleap.py isleap.py
.
----------------------------------------------------------------------
Ran 1 test in 0.000s

OK

Line number: (5, 5)
Decicion: a < 1 or a > 9999
Combinations to be covered: 
    | Result.   a < 1    a > 9999   Cover. 
-------------------------------------------
  1 |  False    False     False     False  
  2 |   True    True       ----     False  
  3 |   True    False      True      True  


Covered 1 out of 3 requirements in 1 decisions (33%)

You can also use multiple --path <folder path> to include this folder in the sys.path variable for the interpreter. In this way, imports will also be searched in these folders.

The symbol '----' is used to indicate that the value for that part of the requirement does not matter in the verification. This is due to the language's decision evaluation strategy (short-circuiting).

📝 Notes

  1. The number of MC/DC requirements for a decision with n conditions is not always n+1. It can be slightly larger due to limitations in the computation algorithm.
  2. For decisions with more than 15 conditions, the analysis may take a few minutes. This is only done once when using the --append option.

👤 Author

Marcio Delamaro

📄 License

MIT

🤝 Contributions

Feel free to open issues or submit pull requests!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pymcdc-0.2.2.tar.gz (11.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pymcdc-0.2.2-py3-none-any.whl (13.3 kB view details)

Uploaded Python 3

File details

Details for the file pymcdc-0.2.2.tar.gz.

File metadata

  • Download URL: pymcdc-0.2.2.tar.gz
  • Upload date:
  • Size: 11.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.12

File hashes

Hashes for pymcdc-0.2.2.tar.gz
Algorithm Hash digest
SHA256 70cf0b50f8f57c605e4365df6ad140bb1cd5e5d22838f6a971d84dd2dcb5e757
MD5 e50af2a34b50552e4ba6f3007ca30aed
BLAKE2b-256 1f1b188f24cba846b6a48816c485b013c4b125ee1a088f7884447062fe4ec426

See more details on using hashes here.

File details

Details for the file pymcdc-0.2.2-py3-none-any.whl.

File metadata

  • Download URL: pymcdc-0.2.2-py3-none-any.whl
  • Upload date:
  • Size: 13.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.12

File hashes

Hashes for pymcdc-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 18cd5d1828d5d4b5559eab61a86abc094bef62b2998aeee337208e6bd1d78b6e
MD5 182cf5129481929802560817c44cf8bd
BLAKE2b-256 1d245f30660663e65fe91435676c58a253f08c96f86f2a1b1e90bb0e70f3bcba

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page