🧬 Comma

🎉 Introduction

Comma is a custom tool developed as part of the Junior Seminar Research group project SEERS, focusing on the topic of empirically studying the relationship between code quality anti-patterns and mutation scores for Python projects.

Comma is designed to execute static analysis tools, notably Chasten, and the mutation tool Mutmut on selected subject programs. It identifies specific anti-patterns associated with low code quality, as collected from Zhu et al.(2021), and correlates them with mutation scores at the function level. Comma overcomes the limitation of per-line mutants returned by Mutmut by parsing the Abstract Syntax Tree (AST) of programs. Additionally, it unifies the output data from Chasten and Mutmut into a cohesive dataset, facilitating further analysis. Comma aims to train and evaluate machine learning models to predict mutation scores based on code quality anti-patterns.

🔋Features

• ✨ Granular analysis of Python programs' abstract syntax trees (AST) for code quality anti-patterns
• 📊 Correlation of detected anti-patterns with mutation scores at the function level
• 🔄 Unification of output data from static analysis and mutation testing tools into a cohesive dataset
• 🔀 Seamless integration of result files from multiple runs of the tool for comprehensive analysis

⚡️ Requirements

• Python 3.11
• Rich: Full-featured formatting and display of text in the terminal
• Poetry: Packaging and dependency management

🔽 Installation

Follow these steps to install the chasten program:

• Install Python 3.11 for your operating system
• Clone this repository: [email protected]:AstuteSource/SEERS.git

✨ Analysis

To analyze code using Comma:

1. Place the desired projects to test in the demo folder. Navigate into the demo folder in a terminal and use git clone to clone the desired project repositories.

2. Return to the analyzer folder and run the following command to install dependencies using Poetry poetry install

3. Once the installation is complete, execute the following command to run the analysis:

poetry run analyzer --search-path demo --save-directory subject-data --chasten-config-path Config

Replace the options --search-path, --save-directory, and --chasten-config-path with the desired paths where the project will be searched, files will be saved, and configuration files will be located, respectively. These should be Path objects passed in a manner similar to the example command provided above.

• Once the analysis and unfication complete, the following message will pop up

Code analysis and mutation complete!
Result is stored in file named combined_result.json
🧹 Final sweeping, saved to new_output_with_functions.json

The complete data exists in new_output_with_functions.json

• Now, you can scan the ouput to confirm that, for instance, the mutation score for pattern named add_files that was inserted 3 mutants (01 survived, 02 killed) has a mutation score of 0.3333333333333333.

{
    "file": "/Users/jaclynpham/AstuteSource/SEERS/scripts/analyzer/demo/lazytracker/lazytracker/lazytracker.py",
    "pattern": {
      "lineno": 29,
      "coloffset": 4,
      "linematch": "def add_files(self, filepaths: List[str], chunk_num_blocks=128):",
      "context": "        files_to_check = sorted(files_to_check)\n\n        self.add_files(files_to_check, chunk_num_blocks)\n\n    def add_files(self, filepaths: List[str], chunk_num_blocks=128):\n        \"\"\"Include hash of files\n\n        Args:\n            filepaths (List[str]): List of paths to files\n            chunk_num_blocks (int, optional): How many chunks to read at once. Defaults to 128.",
      "min": 1,
      "max": 10,
      "pattern": ".//FunctionDef",
      "check_id": "F001",
      "check_name": "all-function-definition",
      "description": "Ensure the presence of function definitions in the codebase."
    },
    "function_name": "add_files",
    "function_scope": "29-42",
    "mutants": [
      {
        "name": "Mutant #6",
        "line": 29,
        "description": [
          "    def add_files(self, filepaths: List[str], chunk_num_blocks=128):"
        ],
        "failure": [
          {
            "inner": "--- lazytracker/lazytracker.py\n+++ lazytracker/lazytracker.py\n@@ -26,7 +26,7 @@\n \n         self.add_files(files_to_check, chunk_num_blocks)\n \n-    def add_files(self, filepaths: List[str], chunk_num_blocks=128):\n+    def add_files(self, filepaths: List[str], chunk_num_blocks=129):\n         \"\"\"Include hash of files\n \n         Args:\n",
            "type": "failure",
            "message": "bad_survived"
          }
        ]
      },
      {
        "name": "Mutant #7",
        "line": 38,
        "description": [
          "                with open(p, \"rb\") as f:"
        ],
        "failure": []
      },
      {
        "name": "Mutant #8",
        "line": 39,
        "description": [
          "                    while chunk := f.read(chunk_num_blocks * self._hasher.block_size):"
        ],
        "failure": []
      }
    ],
    "mutation_score": 0.3333333333333333
  },

🧗Improvement

Found a bug or have a feature that the development team should implement? Raise an issue!