Parasoft is present in 5 markets with 7 products. Parasoft has 214 reviews with an overall average rating of 4.6.
AI-Augmented Software Testing Tools
Gartner defines AI-augmented software testing tools as tools that provide fully integrated and orchestrated capabilities to enable continuous, self-optimizing and highly autonomous testing in the software development life cycle (SDLC) through the use of AI. Capabilities include the generation and maintenance of test scenarios, test cases, test automation, test suite optimization, test prioritization, test analysis, and test value scoring. As part of the larger toolset for AI-augmented development that aids software engineers in designing, coding and testing applications, AI-augmented software testing tools integrate with AI code assistants, chat interfaces, DevOps platforms, planning and deployment tools. They are delivered primarily as cloud-hosted services with some options for on-premises deployment. AI-augmented software testing tools are designed to simplify and accelerate the creation, maintenance and management of test artifacts throughout the SDLC. They help software engineering teams to increase the efficiency, effectiveness and fidelity of tests by reducing human intervention. Teams can build confidence in the quality of their release candidates and support software engineering leaders in making informed decisions regarding product releases.
Parasoft has 2 products in AI-Augmented Software Testing Tools market
Application Development
Application Development refers to products and services that support the design, creation, deployment, and maintenance of software applications across web, mobile, desktop, and cloud environments. This category includes markets that support organizations to build scalable, secure, and user-centric applications while evolving through agile methodologies, automation, modern development practices, and continuous integration and delivery.
Parasoft has 2 products in Application Development market
Application Development Life Cycle Management (Transitioning to DevOps Platforms)
The application development life cycle management (ADLM) tool market focuses on the planning and governance activities of the software development life cycle (SDLC). ADLM products focus on the 'development' portion of an application's life. Key elements of an ADLM solution include: software requirements definition and management, software change and configuration management, software project planning, with a current focus on agile planning, work item management, quality management, including defect management. Other key capabilities include: reporting, workflow, integration to version management, support for wikis and collaboration, strong facilities for integration to other ADLM tools.
Parasoft has 1 product in Application Development Life Cycle Management (Transitioning to DevOps Platforms) market
Performance Testing Tools
Performance testing tools establish metrics for application throughput, latency and resource consumption, enabling teams to compare results across different releases or configurations. Performance testing enables delivery teams to quickly experiment and analyze performance, guiding future development and derisking upgrades. By simulating concurrent users and transactions, these tools help pinpoint performance bottlenecks in the application stack. These tools assess how an application behaves as user load increases, ensuring that it can scale without degradation in service quality. Stress tests performed by these tools verify that applications remain stable and reliable over extended periods and under peak load conditions. Test results inform infrastructure and software architecture decisions, helping organizations meet anticipated demand.
Parasoft has 1 product in Performance Testing Tools market
Test Data Management
Test Data Management (TDM) is the process of provisioning data for development and testing in preproduction environments. It ensures efficient, high-quality datasets while safeguarding data privacy and sensitive corporate information to meet compliance and security requirements. Modern TDM solutions leverage synthetic data generation, alongside data subsetting and masking techniques, to provide realistic yet secure test data. These solutions are widely used by software developers, QA engineers, data analysts, and IT security teams to optimize testing, maintain regulatory compliance, and enhance application reliability.
Parasoft has 1 product in Test Data Management market