Feature Model for Compliance

The transition from the EU Machinery Directive (2006/42/EC) to the upcoming Machinery Regulation (EU 2023/1230), alongside the revision of ISO 12100, introduces new cybersecurity obligations integrated with established safety requirements for industrial pumps [1]–[4]. These changes necessitate faster and more systematic compliance processes than current document-heavy manual practices can support [5], particularly for manufacturers managing multiple product variants, such as connected and non-connected pumps. This thesis explores feature modeling, a technique from product-line engineering, to represent and manage evolving regulatory requirements. A comprehensive feature model was manually extracted from the Machinery Directive, the Machinery Regulation, and both editions of ISO 12100, and implemented using FeatureIDE [6]. The model organizes the safety, cybersecurity and documentation clauses into a hierarchical compliance map, enriched with cross-tree constraints to capture critical interdependencies, such as not secure → not safe. The results indicate that feature modeling reduces oversight risk, enables detection of regulatory changes, and provides a foundation for automating evidence generation. Although the proof-of-concept focuses on pump manufacturing, the approach is generalizable to other domains with complex, multiconcern, and rapidly evolving compliance requirements.

Publication Details

Journal
DiVA (Mälardalen University College)
Published
2025-01-01
Primary Topic
Astrophysical Phenomena and Observations
Type
article
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article

Feature Model for Compliance

DiVA (Mälardalen University College)
Astrophysical Phenomena and Observations
article

Feature Model for Compliance

article en

Abstract

The transition from the EU Machinery Directive (2006/42/EC) to the upcoming Machinery Regulation (EU 2023/1230), alongside the revision of ISO 12100, introduces new cybersecurity obligations integrated with established safety requirements for industrial pumps [1]–[4]. These changes necessitate faster and more systematic compliance processes than current document-heavy manual practices can support [5], particularly for manufacturers managing multiple product variants, such as connected and non-connected pumps. This thesis explores feature modeling, a technique from product-line engineering, to represent and manage evolving regulatory requirements. A comprehensive feature model was manually extracted from the Machinery Directive, the Machinery Regulation, and both editions of ISO 12100, and implemented using FeatureIDE [6]. The model organizes the safety, cybersecurity and documentation clauses into a hierarchical compliance map, enriched with cross-tree constraints to capture critical interdependencies, such as not secure → not safe. The results indicate that feature modeling reduces oversight risk, enables detection of regulatory changes, and provides a foundation for automating evidence generation. Although the proof-of-concept focuses on pump manufacturing, the approach is generalizable to other domains with complex, multiconcern, and rapidly evolving compliance requirements.

DiVA (Mälardalen University College)
Openalex Percentile: Top 50%
Astrophysical Phenomena and Observations
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Feature Model for Compliance · DiVA (Mälardalen University College) (2025) | TGRS Research Map | TGRS