About this author

Manuela Kohlhas is an experienced marketing expert with over a decade of experience, focusing on B2B technology companies. She has held senior positions in various organizations, where she has driven strategic marketing initiatives. She holds a degree in business administration and studied for a Master's in Innovation Management & Entrepreneurship at the Nuremberg Institute of Technology and Linköping University in Sweden.

This author writes about... Digital Transformation Requirements Management Artificial Intelligence Digital Thread Product Line Engineering Risk & Test Management Software Development Agile Regulatory Compliance Variant Management SaaS

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Application Lifecycle Management (ALM) Augmented Reality Computer-aided Design (CAD) Engineering Calculations Enterprise Asset Management (EAM) Industrial Connectivity Industrial Internet of Things Product Lifecycle Management (PLM) Service Lifecycle Management (SLM)

Aerospace and Defense Automotive Electronics and High-Tech Energy and Resources Industrial Equipment MedTech Retail and Consumer Products Software and Technology

Additive Manufacturing Agile Artificial Intelligence Asset Centricity BOM Management Closed-Loop Quality Cloud Native Connected Devices Customer Experience Digital Thread Digital Transformation Digital Twin Education Engineering Collaboration Enterprise Collaboration Field Service Generative Design Increase Manufacturing Productivity Industrial Skills Gap Industry 4.0 IT/OT Convergence Life at PTC Math Software Model-Based Definition Predictive Analytics Predictive Maintenance Product Line Engineering PTC Reality Lab Regulatory Compliance Remote Service Requirements Management Risk & Test Management SaaS Service Optimization Service Parts Service Revenue Simulation Software Development Sustainability Technician Efficiency Training Variant Management

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Application Lifecycle Management (ALM) Augmented Reality Computer-aided Design (CAD) Engineering Calculations Enterprise Asset Management (EAM) Industrial Connectivity Industrial Internet of Things Product Lifecycle Management (PLM) Service Lifecycle Management (SLM)

Aerospace and Defense Automotive Electronics and High-Tech Energy and Resources Industrial Equipment MedTech Retail and Consumer Products Software and Technology

Additive Manufacturing Agile Artificial Intelligence Asset Centricity BOM Management Closed-Loop Quality Cloud Native Connected Devices Customer Experience Digital Thread Digital Transformation Digital Twin Education Engineering Collaboration Enterprise Collaboration Field Service Generative Design Increase Manufacturing Productivity Industrial Skills Gap Industry 4.0 IT/OT Convergence Life at PTC Math Software Model-Based Definition Predictive Analytics Predictive Maintenance Product Line Engineering PTC Reality Lab Regulatory Compliance Remote Service Requirements Management Risk & Test Management SaaS Service Optimization Service Parts Service Revenue Simulation Software Development Sustainability Technician Efficiency Training Variant Management

Discover Codebeamer AI—governed AI for requirements and testing that reduces manual work, improves traceability, and accelerates compliant, software‑driven engineering.

Discover how modern configuration, variant management, and traceability help engineering teams scale faster and stay compliant in a software-defined world.

PTC recognized as the Outright Market Leader and Fastest Grower in QKS Research’s 2025 Spark Matrix for ALM, leading in compliance and innovation.

Discover what's new in Codebeamer 3.1 and Pure Variants 7.1—scalability, AI, compliance, and integrations to manage complex product development.

Discover the growing regulatory complexity, as described by Prof. Dr. Christian Johner, and how it affects industry-specific and cross-industry regulations.

Product Line Engineering (PLE) offers companies the advantage of developing products efficiently and cost-effectively to compete in the dynamic, customer-oriented market. Read our recommendations for success.

Feature models are simple, hierarchical models that capture the commonality and variability of a product line. Each relevant characteristic in the problem space becomes a feature in the model.