Analyzing Code with Static Analysis Tools in Flutter

Static analysis tools are essential for modern software development. They automatically scan your codebase to identify potential issues, bugs, and code quality problems without executing the code. Integrating static analysis into your Flutter projects can significantly improve code reliability, maintainability, and overall quality.

What is Static Analysis?

Static analysis involves examining source code before a program is run. These tools analyze the code’s structure, syntax, and semantics to detect patterns indicative of errors, security vulnerabilities, style inconsistencies, and potential performance bottlenecks. Static analysis helps in catching problems early in the development lifecycle, making them easier and cheaper to fix.

Benefits of Static Analysis in Flutter

  • Early Bug Detection: Identify bugs and errors before runtime.
  • Improved Code Quality: Enforce coding standards and best practices.
  • Enhanced Security: Detect potential security vulnerabilities.
  • Increased Maintainability: Ensure consistent and readable code.
  • Performance Optimization: Highlight areas for potential performance improvements.

Static Analysis Tools for Flutter

Flutter, being based on Dart, benefits from Dart’s strong tooling support. Here are some key static analysis tools for Flutter:

1. Dart Analyzer

The Dart Analyzer is the primary static analysis tool provided by the Dart SDK. It’s deeply integrated with the Dart and Flutter toolchains, making it the default choice for most developers.

Configuration

To configure the Dart Analyzer, you need to create an analysis_options.yaml file in the root of your Flutter project. This file defines the rules and settings for static analysis.

include: package:flutter_lints/flutter.yaml

analyzer:
  exclude:
    - path/to/excluded_file.dart
    - path/to/excluded_directory/**
  strong-mode:
    implicit-casts: false
    implicit-dynamic: false

linter:
  rules:
    - avoid_print
    - prefer_const_constructors
    - always_put_required_named_parameters_first

In this configuration:

  • include: package:flutter_lints/flutter.yaml includes Flutter’s recommended linter rules.
  • analyzer.exclude specifies files or directories to exclude from analysis.
  • strong-mode enforces stricter type checking.
  • linter.rules lists the lint rules to apply.
Running the Dart Analyzer

The Dart Analyzer runs automatically in your IDE (VS Code, Android Studio) and via the command line. To run it manually, use:

flutter analyze
Example: Fixing an Analysis Issue

Suppose your code contains a print statement, which the analyzer flags as an issue (due to the avoid_print rule).

void main() {
  print('Hello, Flutter!'); // Avoid using print statements in production code.
}

To resolve this, remove or replace the print statement with a more appropriate logging mechanism:

import 'package:logger/logger.dart';

final logger = Logger();

void main() {
  logger.d('Hello, Flutter!'); // Use logger for debugging.
}

2. Dart Linter

Dart Linter is a separate package providing additional lint rules beyond those in the Dart SDK. It complements the Dart Analyzer by offering more granular control and specific coding style checks.

Installation

Add dart_lint to your pubspec.yaml:

dev_dependencies:
  lints: ^2.0.0
  custom_lint: ^0.5.7
  lint_packages: ^0.3.0
Configuration

Enable specific lint rules in your analysis_options.yaml:

include: package:flutter_lints/flutter.yaml

linter:
  rules:
    - always_use_package_imports
    - avoid_unnecessary_containers
    - sort_child_properties_last
Running Dart Linter

The Dart Linter runs as part of the Dart Analyzer process. To see the linting issues, run:

flutter analyze

3. Custom Lint

custom_lint enables you to enforce rules using custom-defined analysis and refactoring logic, providing a unique level of project specificity in your static analysis setup.

Installation

First, add custom_lint to your pubspec.yaml as a dev dependency:


dev_dependencies:
  custom_lint: ^0.5.7
Define Custom Lint Rules

Let’s define a custom rule, which warns developers from using the Container widget with explicit height and width, advocating the use of more adaptive layouts, and centralize it under the lib folder. It could contain code for AST visiting:


import 'package:analyzer/dart/ast/ast.dart';
import 'package:analyzer/error/listener.dart';
import 'package:custom_lint_builder/custom_lint_builder.dart';

PluginBase createPlugin() => CustomLintPlugin();

class CustomLintPlugin extends PluginBase {
  @override
  List&ltLintRule&gt getLintRules(CoreTypes types) => [
        NoSizedBox()];
}
class NoSizedBox extends LintRule {
  NoSizedBox() : super(
    code: const LintCode(
      name: 'no_explicit_container_size',
      problemMessage: 'Avoid using Container with explicit size. Prefer to adapt layout.',
      errorSeverity: ErrorSeverity.WARNING,
    ),
  );

  @override
  void run(
    CustomLintResolver resolver,
    ErrorReporter reporter,
    CustomLintContext context,
  ) {
    context.registry.addInstanceCreationExpression((node) {
      if (node.constructorName.name == 'Container' && node.staticElement?.enclosingElement?.name == 'Container'){
        final arguments = node.argumentList.arguments;
        for (final argument in arguments){
          if (argument is NamedExpression){
            final name = argument.name.label.name;
            if (name == 'width' || name == 'height'){
              reporter.reportErrorForNode(code, argument);
            }
          }
        }
      }
    });
  }
}

Config Analysis Options Yaml

Edit your analysis_options.yaml as follows:


analyzer:
  plugins:
    - custom_lint
Enabling & Running Custom Lint

After configuration is setup run following command, this should trigger and display your configured warnings:


dart analyze .

4. Other Tools and Libraries

  • SonarQube: A popular platform for continuous inspection of code quality.
  • Codemagic: A CI/CD tool that integrates static analysis as part of its workflow.
  • Effective Dart: Offers guidelines for writing clean and maintainable Dart code.

Best Practices for Using Static Analysis

  • Integrate Early and Often: Run static analysis as part of your CI/CD pipeline and during development.
  • Customize Rules: Adapt analysis rules to your project’s specific needs and coding standards.
  • Address Issues Promptly: Fix issues identified by static analysis tools to prevent them from escalating.
  • Educate Your Team: Ensure that all team members understand the importance of static analysis and how to use the tools.

Conclusion

Static analysis is a critical practice for ensuring high-quality code in Flutter projects. By using tools like Dart Analyzer, Dart Linter, and other third-party solutions, you can catch errors early, enforce coding standards, and improve the overall maintainability and reliability of your code. Make static analysis a core component of your Flutter development workflow to reap these benefits.