Best Static Code Analysis Software in India

Parasoft helps organizations continuously deliver high-quality software with its AI-powered software testing platform and automated test solutions. Supporting embedded and enterprise markets, Parasoft’s proven technologies reduce the time, effort, and cost of delivering secure, reliable, and compliant software by integrating everything from deep code analysis and unit testing to UI and API testing, plus service virtualization and complete code coverage, into the delivery pipeline. A powerful unified C and C++ test automation solution for static analysis, unit testing and structural code coverage, Parasoft C/C++test helps satisfy compliance with industry functional safety and security requirements for embedded software systems.

Visual Expert is a static code analyzer for Oracle PL/SQL, SQL Server T-SQL, and PowerBuilder. Identify code dependencies to modify your code without breaking your application. Scan your code to improve the security, performance, and quality. Perform Impact analysis to Identify breaking changes. Automatically scan your code to detect and fix security vulnerabilities, bugs and maintenance Issues. Implement continuous code inspection Understand the inner workings of your code with call graphs, code diagrams, CRUD Matrix and Object Dependency Matrix (ODM). Automatically generate an HTML Source Code documentation. Explore your code exploration with hyperlinks Compare applications, databases or pieces of code. Improve maintainability. Clean up code. Comply with dev standards. Analyze and Improve DB code performance: Find slow objects and SQL queries, Optimize a slow object, a Chain of calls a slow SQL, Get a query Execution Plan. And much more.

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.

Software projects tend to be complex and there is the law of entropy making it more complex all the time. The developers easily get lost in the dependency network and tend to create designs that does not stand time well. Softagram provides automatically illustrations on how the dependencies are changing. Automated integration works so that pull requsts (in GitHub, Bitbucket, Azure DevOps), merge requests (in GitLab) and patch sets (in Gerrit) are decorated with a dependency analysis report that pops up as a comment in the tool you already use. The analysis also covers other aspects such as open source licenses and quality. It can be tailored for your needs. Software audits can also be efficiently performed by using Softagram analysis together with Softagram Desktop app designed for advanced software understanding and auditing usage.

Understand is a comprehensive static-analysis and code-comprehension platform that helps software engineers “see” and understand large, complex code bases, whether legacy, safety-critical, or modern multi-language projects. It parses your source code and builds a complete “code dictionary” of every entity (files, classes, functions, variables), populating cross-references, call trees, dependency graphs, control-flow diagrams, and more. Through interactive, customizable graphs and visualizations, call graphs, control flow graphs, dependency trees, and UML-style class diagrams, you can explore exactly how parts of the code connect, which modules depend on which, and where changes may ripple across the project. Understand also computes detailed metrics at various levels (file, class, function) such as cyclomatic complexity, lines of code, comment-to-code ratio, coupling/cohesion, and other maintainability indicators; these metrics can be viewed in treemaps, exported to HTML or CSV.

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/

Seerene’s Digital Engineering Platform is a software analytics and process mining technology that analyzes and visualizes the software development processes in your company. It reveals weaknesses and turns your organization into a well-oiled machine, delivering software efficiently, cost-effectively, quickly, and with the highest quality. Seerene provides decision-makers with the information needed to actively drive their organization towards 360° software excellence. Reveal code that frequently contains defects and kills developer productivity.​ Reveal lighthouse teams and transfer their best-practice processes across the entire workforce.​ Reveal defect risks in release candidates with a holistic X-ray of code, development hotspots and tests. Reveal features with a mismatch between invested developer time und created user value.​ Reveal code that is never executed by end-users and produces unnecessary maintenance costs.​