Tools and Methodologies for Modern Engineering

Overview:

Maximizing Test Coverage with AI and Combinatorial Testing

Combinatorial testing, enhanced by AI, efficiently explores complex input spaces by generating smart combinations of variables-ideal for AI-enabled and autonomous systems where exhaustive testing isn’t feasible. It delivers broad interaction coverage with fewer tests, targets high-risk scenarios for better defect detection, and accelerates execution through automation and intelligent sampling.

Scalable Requirement Management for Regulated Environments-Managing Requirements in Regulated Industries:
In banking, healthcare, telecom, and other regulated sectors, effective requirement management demands a balance of agility and compliance. Key practices include cross-functional collaboration, modular planning for rapid regulatory updates, prioritization frameworks like MoSCoW, and integrated RIMS platforms for centralized tracking and change management.

Automating Compliance: AI-Driven Security Reporting: AI-driven compliance automation tools enhance accuracy and reduce manual effort by automating evidence collection, policy creation, and control monitoring for standards like SOC 2, ISO 27001, HIPAA, and GDPR. They provide real-time risk monitoring, continuous compliance, and AI-powered regulatory change management, while streamlining workflows and report generation to speed audits and ensure thorough documentation.

Why you should Attend:

• Tools and Methodologies for Modern Engineering: Sticking to outdated practices compromises speed, quality, and delivery-modern tools are no longer optional if you want to stay competitive.
• Maximizing Test Coverage with AI and Combinatorial Testing: Traditional testing leaves dangerous blind spots. Without AI-driven methods, defects will slip through, risking recalls, downtime, and reputational damage.
• Scalable Requirement Management in Regulated Environments: Disorganized or manual tracking leads to audit failures and compliance gaps. Regulators won’t wait-and neither will your competition.
• Automating Compliance with AI for Faster, More Accurate Security Reporting: Manual reporting is error-prone and slow. AI-driven compliance is already giving your competitors an edge-don’t let outdated processes cost you trust or deals.

Regulators and competitors are already advancing-falling behind isn’t just risky, it’s costly.

Areas Covered in the Session:

• Tools and Methodologies for Modern Engineering: Exploration of state-of-the-art tools and frameworks used to streamline engineering workflows, improve collaboration, and accelerate product development cycles
• Maximizing Test Coverage with AI and Combinatorial Testing Methods: Discussion on leveraging AI-driven test generation and combinatorial test design techniques to achieve broader validation coverage with fewer test cases
• Scalable Requirement Management for Regulated Environments: Review of structured approaches and tools that enable traceability, auditability, and scalability in managing requirements across industries governed by strict standards (NIST, ISO, IEC, etc.)
• Automating Compliance with AI for Security Reporting: Demonstration of AI-powered methods to automate compliance checks, generate accurate security reports, and streamline adherence to regulatory frameworks for faster audits and certifications

Who Will Benefit:

• Product Managers
• Systems Engineering Professionals
• Validation Architects
• Project Managers