Best Static Code Analysis Software

SonarQube Server is a self-managed solution for continuous code quality inspection that helps development teams identify and fix bugs, vulnerabilities, and code smells in real-time. It provides automated static code analysis for a variety of programming languages, ensuring the highest quality and security standards are maintained throughout the development lifecycle. SonarQube Server integrates seamlessly with existing CI/CD pipelines, offering flexibility for on-premise or cloud-based deployment. With advanced reporting features, it helps teams manage technical debt, track improvements, and enforce coding standards. SonarQube Server is ideal for organizations seeking full control over their code quality and security without compromising on performance.

Velocity provides in-depth, contextual analytics that equip engineering leaders to support stuck team members, address team roadblocks, and streamline engineering processes. Actionable metrics for engineering leaders. Velocity turns data from commits and pull requests into the insights you need to make lasting improvements to your team’s productivity. Quality: Automated code review for test coverage, maintainability and more so that you can save time and merge with confidence. Receive automated code review comments on your pull requests. Our 10-point technical debt assessment provides real-time feedback, so you can save time and focus on what matters in your code review discussions. Get test coverage right, every time. See coverage line by line within diffs. Never merge code without sufficient tests again. At a glance, identify frequently changed files that have inadequate coverage and maintainability issues. Track your progress against measurable goals, day-by-day.

Amazon CodeGuru is a developer tool powered by machine learning that provides intelligent recommendations for improving code quality and identifying an application’s most expensive lines of code. Integrate Amazon CodeGuru into your existing software development workflow where you will experience built-in code reviews to detect and optimize the expensive lines of code to reduce costs. Amazon CodeGuru Profiler helps developers find an application’s most expensive lines of code along with specific visualizations and recommendations on how to improve code to save money. Amazon CodeGuru Reviewer uses machine learning to identify critical issues and hard-to-find bugs during application development to improve code quality.

Hubbl Diagnostics provides Salesforce admins, architects, and consultants with the broadest and most actionable insights into any Salesforce org. Transform your Salesforce operations, streamline processes, optimize efficiency, and achieve unparalleled success. Our mission is clear: to help organizations tackle technical debt, eliminate redundant automation, and navigate the ever-expanding complexity of their Salesforce orgs. By doing so, we enable businesses to maximize their return on investment in Salesforce, achieving results faster than ever before. What sets Hubbl Diagnostics apart is our proprietary metadata aggregation, which not only delivers invaluable insights but also equips the Salesforce ecosystem with benchmark data. With this data, users can easily measure and compare their org complexity against others in their industry, gaining a competitive edge.

Codacy is an automated code review tool that helps identify issues through static code analysis, allowing engineering teams to save time in code reviews and tackle technical debt. Codacy integrates seamlessly into existing workflows on your Git provider, and also with Slack, JIRA, or using Webhooks. Users receive notifications on security issues, code coverage, code duplication, and code complexity in every commit and pull request along with advanced code metrics on the health of a project and team performance. The Codacy CLI enables running Codacy code analysis locally, so teams can see Codacy results without having to check their Git provider or the Codacy app. Codacy supports more than 30 coding languages and is available in free open-source, and enterprise versions (cloud and self-hosted). For more see https://www.codacy.com/

COBOL Analyzer provides developers the ability to continuously analyze their code before and after changes are made within their local environment and before committing those changes to the source control management stream. COBOL Analyzer is built on an industry-standard, relational database management system (RDBMS) for centralized storage of application information and artifacts. Intuitive and interactive visualizations ensure that stakeholders have application visibility and developers receive current code change updates. The COBOL Analyzer solution includes a pre-built query library including a set of common queries to locate points of interest within the application code. The COBOL Analyzer solution identifies all code that is affected by the planned code change event. COBOL Analyzer provides developers the ability to continuously analyze their code before and after changes are made within their local environment.

Get a deeper understanding of your software with Embold's profound analysis and intuitive visuals. Visually comprehend the size and quality of every component and fully understand the state of your software at a glance. Understand issues on a component level with rich annotations and see where they are located in your code. View and navigate through all ingoing and outgoing dependencies of your software components and learn how they influence each other. Quickly understand how to refactor and split complex components by using our innovative partitioning algorithms. The EMBOLD SCORE, calculated from four dimensions, tells you which components have the biggest impact on the overall quality and need to be solved first. Analyze your code’s structural design with the help of our unique set of anti-patterns on a class, functional, and method level. Embold utilizes several metrics ranging from cyclomatic complexity to coupling between objects to measure the quality of software systems.