Data aggregation
Aggregate results from Parasoft products and supported external systems into a central quality-data model.
Parasoft DTP
Consolidate available data from Parasoft tools and supported integrations into dashboards, trends, policy views and review-oriented reports.
Unified quality dataRisk prioritizationCoverage & traceabilityCompliance dashboards
Quality intelligence layer
InputsAnalysis findingsTests, coverage & builds
Engineering controlsAggregateNormalizePrioritizeVisualize
OutputsRisk viewsQuality trendsReview reports
Central reporting and analytics for available software quality, risk, coverage, traceability and compliance data.
DTP can centralize and interpret available data, but it depends on complete source data, a defined test strategy and consistent project governance.
ParasoftSoftware quality
Core capabilities
Core engineering capabilities
Exact capabilities depend on the selected edition, release and deployment environment.
Dashboards and trends
Visualize findings, tests, coverage and policy status across builds and projects.
Risk prioritization
Use contextual data and configured analytics to focus review on higher-risk results.
Compliance reporting
Generate supported standards-oriented dashboards and reports from available evidence.
Traceability views
Expose relationships among requirements, tests, coverage and results where source integrations provide them.
Workflow integration
Connect reporting with CI/CD, issue tracking and other supported enterprise systems.
Implementation workflow
From evaluation to deployment
Validate the technology in the real build, target and reporting environment before wider rollout.
- 01Connect result sources
- 02Define project and build metadata
- 03Normalize policies
- 04Configure dashboards and gates
- 05Review trends and exceptions
- 06Generate review packages
Confirm the deployment fit
Compatibility depends on the actual toolchain, target environment, integration needs and assurance objectives.
- Source products and external data feeds
- Project, branch and build taxonomy
- Dashboard and role requirements
- Quality gates and risk model
- Retention, access and deployment architecture
- Standards-oriented reports and customization needs
Where the technology adds value
Well suited for
- Multi-tool quality visibility
- Enterprise policy standardization
- Release-risk and trend analysis
- Central compliance-oriented reporting
Important considerations
- Analytics quality depends on consistent source data and project metadata.
- Release decisions remain accountable engineering and management decisions.
- Dashboards support, but do not replace, engineering triage.
- Traceability views depend on relationships captured by source tools and integrations.
Relevant engineering frameworks
MISRA dashboardsCWE and security dashboardsCoverage and traceability reportingProject-specific compliance views
Related capabilities
Extend the software assurance workflow
Explore adjacent capabilities across requirements, verification, testing and embedded security.