Efficient Project Data Intelligence Solution
Squore
Augmented Analytics for Efficient Project Monitoring. Squore is an innovative development data-intelligence platform that enables continuous quality management of software development
Benefits
Squore automatically collects and reconciles data from the project’s toolchain, breaking data-silos
Lowers maintenance load via control of technical debt
Provides role-based navigation and sharing features like document generation and exports
Speeds up action-taking based on objective indicators
Hear What Experts are Saying
"Squore is one of the most helpful tools for both the requirement engineers and the quality assurance teams as it enables near real time checking for any violation of the traceability concept."
Vinko Šurija - Rimac Technology
Turning Project Data into Actionable Quality Insights
In today's fast-paced development environments, software teams generate large volumes of data during the design, coding, testing, and validation phases. Data intelligence transforms this raw data into meaningful insights, allowing developers, testers, and project managers to accurately and reliably monitor software quality.
By integrating data from various engineering tools and applying customized analytics models, Data Intelligence supports traceability, compliance, and informed decision-making throughout the entire software development lifecycle. This approach helps you identify outliers, predict quality trends, and automate quality controls, ensuring your software meets industry standards and project goals. Whether you're navigating complex architectures or managing short development cycles, it doesn't matter.
Squore uses data intelligence to provide clear, role-specific visualizations and KPIs that enable teams to focus on what matters most. The approach can be outlined in seven steps:
1. Collect Data
Capture diverse project data from engineering tools, manual inputs, and custom formats. This step ensures all relevant artifacts—requirements, code, tests, and feedback—are gathered and ready for analysis.
2. Processing
Standardize raw data from multiple sources into a consistent format. Whether tool-generated or user-entered, this phase prepares data for meaningful aggregation and quality assessment.
3. Integration
Merge and reconcile data into unified objects while preserving context and traceability. This builds a connected dataset that supports cross-domain analysis and impact tracking.
4. Analysis
Compute KPIs and metrics using both intrinsic and relational data. This step delivers a structured quality model that adapts to different object types and project scopes.
5. Visualization
Transform complex data into intuitive dashboards and charts. Tailored views help each role—developer, tester, manager—focus on what matters most, from outliers to compliance checks.
6. Gaining Insights
Combine metrics and visualizations to uncover trends, risks, and opportunities. Whether top-down or bottom-up, this phase turns data into actionable knowledge.
7. Decision Assistance
Support informed decisions with automated alerts, quality gates, and reporting. This final step embeds quality monitoring into daily workflows, enabling proactive project management.
Source Code: Technical Debt, Code coverage per safety level, Cloning, compliance of different standards, Complexity
Tests: Effectiveness, change based testing, traceability-based indicators
Requirements: Allocation, Test Coverage, IADT ratios
Tickets: Maturity index, Innovation rate, Completion rate
Resources: CPU/Memory/Stack usage
Some of these indicators can be tuned to fit the project, and it is also possible to specify corporate-dependent KPIs or standards.
The package comes with a set of over 70 Data Providers for tools commonly used in Software Development Projects, reaching from requirements, over tickets and issues, source code to test results and coverage information, covering the whole development cycle.
With its Software Analytics package, Squore proposes an automated solution to help the user stop spending time on parsing and
aggregating data files, to focus instead on the big picture, assisted by proven industrial indicators.
Further information on Squore's API and command line can be found in the documentation.
Example Use Cases
Monitoring Embedded Software Projects in the Automotive Industry
- Software reliability improvement
- Demonstration of HIS and MISRA compliance
- Integration of standard ISO 26262
- Optimization of testing strategy
- Business process performance and support as recommended by Automotive SPICE
Reducing Technical Debt
- Reduction of code review costs
- Improvement of software reliability
- Automated and continuous generation of optimized action plans
- Greater productivity via optimized quality monitoring
- Enhanced team collaboration and best practices adoption
Conducting an Internal or Third Party Audit - Continuous Quality Assessment
- Risk assessment
- Code reliability and maintainability
- Impact analysis
- Outsourcing security
- Automated audit report
Securing the Acceptance Phase
Squore secures customer-supplier relationship via a common quality reference framework:
- Shared and objective Acceptance criteria
- Increased confidence between Customer and Supplier
- Secured deployment and operation
- Reduction of acceptance costs and efforts
Downloads
Explore our Download Section for essential resources.
Whether you're looking for informative white papers or detailed technical guides, we provide a wide range of documents.
Connect with Our Experts
Whether you're seeking advice, looking for solutions, or just curious about our services, we're here to help.
Our team of experienced developers is here to provide the support, and technical expertise you need. Contact us to schedule your consultation and start your journey with us.
Subscribe To Our Newsletter
Are you passionate about software development?
Want to stay updated with the latest, tools, and best practices we offer?
Join our community by subscribing today!