Building product populations with software components
Proceedings of the 24th International Conference on Software Engineering
PREPARE: A Tool for Knowledge Base Verification
IEEE Transactions on Knowledge and Data Engineering
On the Notion of Variability in Software Product Lines
WICSA '01 Proceedings of the Working IEEE/IFIP Conference on Software Architecture
Extending the Product Family Approach to Support n-Dimensional and Hierarchical Product Lines
RE '01 Proceedings of the Fifth IEEE International Symposium on Requirements Engineering
Organizing Business Knowledge: The MIT Process Handbook
Organizing Business Knowledge: The MIT Process Handbook
Hierarchical Decision Tree Induction in Distributed Genomic Databases
IEEE Transactions on Knowledge and Data Engineering
Software Product Line Engineering: Foundations, Principles and Techniques
Software Product Line Engineering: Foundations, Principles and Techniques
A Survey on the Flexibility Requirements Related to Business Processes and Modeling Artifacts
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Business Process Lines to Deal with the Variability
HICSS '10 Proceedings of the 2010 43rd Hawaii International Conference on System Sciences
Variability management in software product lines: a systematic review
Proceedings of the 13th International Software Product Line Conference
Configurable multi-perspective business process models
Information Systems
Requirements and Tools for Variability Management
COMPSACW '10 Proceedings of the 2010 IEEE 34th Annual Computer Software and Applications Conference Workshops
Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
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A major challenge faced by organizations is to better capture business strategies into products and services at an ever-increasing pace as the business environment constantly evolves. We propose a novel methodology base on a Business Process Line (BPL) engineering approach to inject flexibility into process modeling phase and promote reuse and flexibility by selection. Moreover we suggest a decision-table (DT) formalism for eliciting, tracking and managing the relationships among business needs, environmental changes and process tasks. In a real case study we practiced the proposed methodology by leveraging the synergy of feature models, variability mechanisms and decision tables. The application of DT-based BPL engineering approach proves that the Business Process Line benefits from fundamental concepts like composition, reusability and adaptability and satisfies the requirements for process definition flexibility.