Java Software Testing Tools & Solutions

How It Works

Use Parasoft Jtest’s extensive Java static analysis checkers and testing techniques to ensure Java code quality. Teams can verify compliance with security standards (OWASP, CWE, CERT, PCI DSS, and more) and custom coding standards using built-in or user-defined custom rules. Shift-left testing detects and resolves defects and security vulnerabilities in the early development stages, minimizing late-stage remediation expenses.

Here are more ways teams can enhance code quality and security with Jtest:

• Integrate into various IDEs to find and remediate issues before code is checked into source control. 
• Use Jtest’s Live Static Analysis to execute a code scan automatically and continuously in the background every time a source file is opened in the IDE or when saving new or modified code.
• Leverage out-of-the-box rule sets for secure coding standards to streamline compliance. 
• Optionally integrate Jtest with various LLM providers like OpenAI and Azure OpenAI to get AI-generated code fixes in the IDE for static analysis violations. 
• Integrate static analysis into CI/CD pipelines for automated code scans and publish results to the pipeline and Parasoft DTP.

How It Works

Striking a balance between thoroughness and efficiency poses a critical challenge for dev teams grappling to meet Java unit testing and code coverage requirements while sustaining high levels of development productivity. 

With AI-enhanced Jtest, teams gain a head start in building effective unit test suites and reaching code coverage targets. Jtest uses proprietary on-premise AI algorithms to swiftly generate a suite of JUnits for uncovered lines of code, rapidly and substantially increasing code coverage metrics.

Integrated within the IDE, Jtest’s Unit Test Assistant provides actionable insights to enhance test stability. Improve developer efficiency using Jtest’s IDE-based Live Unit Testing to autonomously identify and run unit tests affected by code changes and provide continuous feedback directly in the IDE.

For added customization, teams can optionally integrate Jtest with various LLM providers like OpenAI and Azure OpenAI to tailor test cases based on specific requirement prompts. Jtest provides development teams with a complete solution for Java quality, enabling them to better balance testing activities and requirements with new feature development.

How It Works

Application teams encounter the following common challenges in Selenium testing:

• Initial time and effort required to create tests
• Heavy burden maintaining tests
• Long test execution times

Parasoft Selenic, augmented with AI/ML capabilities, empowers development teams to:

• Expedite creating JUnit or TestNG Selenium tests by capturing user interactions through manual UI testing using the Parasoft Recorder.
• Reduce effort and cost associated with test maintenance by automatically healing Selenium test scripts during execution based on past successful runs, incorporating updated locators and extended wait conditions.
• Stabilize existing Java-based Selenium projects using enterprise-grade self-healing technology without the pain of migrating to a new tool.
• Enhance the stability of existing Selenium test suites by implementing Selenic’s recommendations for improved locators and wait conditions.
• Facilitate rapid feedback by identifying and executing the specific subset of Selenium test cases relevant to code modifications.

Read Blog Post: Selenium Automation Tutorial for Beginners »

How It Works

Meeting code coverage requirements in Java projects poses challenges due to complex modern software systems, diverse testing scenarios, and the need for comprehensive testing across components and functionalities. Use our solution to:

• Execute unit tests locally or within the CI/CD pipeline with Jtest. Navigate through source code in the IDE to pinpoint which lines of code are covered during execution.
• Analyze code coverage at varying levels—method, class, file, or project. Use Jtest to identify areas with insufficient coverage.
• Gather code coverage from functional testing by employing SOAtest, Selenic, and CTP.
• Merge code coverage from unit testing and functional testing to understand overall code coverage.
• Identify uncovered lines of code and generate new test cases to bridge coverage gaps and boost code coverage metrics.
• Automatically validate builds with tailored quality gates based on predefined code coverage metrics to ensure adherence to standards.
• Publish testing results into Parasoft DTP for in-depth analysis of coverage metrics across builds and different test practices, facilitating informed decision-making and continuous improvement.

Read Blog Post: Application Coverage Is the Most Powerful Metric You’re Not Measuring »