Edge Case Software Testing
Predict Edge Cases and Root Causes Before Design Freeze
Requs AI Edge Case Prediction
Kickstart your boundary and edge case software testing with Requs AI Edge Case Prediction. While most conventional testing tools react to defects, Requs AI Edge Case Prediction software takes a revolutionary proactive approach by predicting them. Fueled by advanced AI and the world’s most extensive root-cause failure database, our edge case prediction tool empowers you to:
Pinpoint the underlying root causes that drive your most costly and likely failures.
Anticipate and uncover elusive edge cases and hard-to-find scenarios that often bypass traditional requirements-based testing.
Generate specific test cases and targeted criteria for code inspection.
Formulate superior software requirements to handle identified edge cases effectively.
How Requs AI Edge Case Prediction Works
Our methodology for proactive edge case software testing is built on a robust foundation. We began by meticulously compiling a structured list of common defects, or “edge cases,” that have historically impacted mission and safety-critical systems. This extensive research culminated in the “Common Defect Enumeration” (CDE), a publicly available resource published on the DAU R&M CoP website.
Requs AI Edge Case Prediction was then developed to leverage this foundational knowledge, intelligently determining which of these enumerated edge cases are most pertinent to your specific software-intensive system.
Here’s how our process works:
System Description: You provide a comprehensive overview of your software-intensive system.
Design & Testing Insights: You answer targeted questions about your software’s design, current testing methodologies, and any existing design controls.
Relevance Determination: Requs AI Edge Case Prediction analyzes this input to pinpoint the specific edge cases from the CDE that are relevant to your system.
Likelihood Assessment: Requs AI Edge Case Prediction then calculates the relative likelihood of each identified edge case occurring within your system’s operational context.
Actionable Edge Case Software Testing Recommendations: Requs AI Edge Case Prediction delivers tailored recommendations for effective testing strategies and precise code reviews for each relevant edge case.
Requirements Enhancement: Requs AI Edge Case Prediction also provides valuable recommendations for refining your software requirements, ensuring greater resilience and preventing future defects. Edge case software testing depends on traceability to requirements.
Requs Ai Edge Case Prediction is used way to left of the other software testing tools
Empower entire team to proactively avoid late-stage disasters caused by overlooked edge cases
Software test engineers
Predict edge cases that typical “shall statement” testing misses. Reduce the unwanted surprises. Stress free edge case software testing.
System and software safety engineers
Gain early insight into hazardous conditions.
Software designers
Integrate with MBSE and capture the costly design-related edge cases so you can fix fewer defects later.
Engineering management
Ensure that your team can identify the edge cases that cross over software and hardware and subsystems are identified before they cost you a fortune in recalls, warranty costs, damaged hardware, and missed opportunities.