Requirements Engineering for Control Systems

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1 Requirements Engineering for Control Systems Dominik Schmitz, Hans W. Nissen, Matthias Jarke, Thomas Rose RWTH Aachen University, Cologne University of Applied Sciences, Fraunhofer FIT June 7-8th 2oo istar 200 /2

2 ZAMOMO Project Integration of model-based software and model-based control systems engineering Innovations in cars nowadays mainly driven by software, but control system engineering and software engineering currently not interacting methodological supplement is hindered Application domain: combustion engine controller June 7-8th 2oo istar 200 2/2

3 ZAMOMO Project Integration of model-based software and model-based Characteristics control systems engineering Innovations Interdisciplinary in cars nowadays mainly driven by software, Importance but control of hardware, system engineering particular and software sensors engineering and actuators currently not interacting methodological Flexible, innovative, customer-oriented supplement is hindered small- & medium enterprises Application RE as domain: part of offer development combustion (timing, engine costs, reuse decisions, ) controller Project-driven work, frequent innovations June 7-8th 2oo istar 200 2/2

4 i based RE common problem understanding with customer control systems requirements i software requirements common comprehensible representation Agent Goal tool and analysis support model-based requirements capture transition to (mathematical) design ω S u S u D Elektronischer Verstärker u R Potentiometer Stromrichter u A Motor mit Aufzug M L Drallsatz ω traceability, configuration management Variante sub Kunde benötigt Feature kauft realisiert durch Verantwortl. Entwickler Task betrifft Prozess Produkt besteht aus Komponente realisiert Variante sub u ω Tachogenerator Kosten Version Nachfolger June 7-8th 2oo istar 200 3/2

5 i based RE tool and analysis support control systems requirements transition to (mathematical) design ω S u S u D Elektronischer Verstärker u R Potentiometer Stromrichter u A Motor mit Aufzug M L Drallsatz software requirements i based capture of control requirements i Model-based Functional and non-functional aspects common problem understanding with customer ω traceability, configuration management Variante sub common comprehensible representation Agent Combined, inter-disciplinary investigation model-based requirements capture Capture any (kind of) stakeholder Sensors and actuators as resource dependencies Kunde benötigt Feature kauft realisiert durch Verantwortl. Entwickler Task betrifft Prozess Goal Produkt besteht aus Komponente realisiert Variante sub u ω Tachogenerator Kosten Version Nachfolger June 7-8th 2oo istar 200 3/2

6 Domain Model-based RE June 7-8th 2oo istar 200 4/2

7 Domain Model-based RE Features Common starting point Accelerates modeling Eliminate non-applicable elements Add project-specific elements Tailoring, update possible June 7-8th 2oo istar 200 4/2

8 Challenges during Offer Development Offer development Model requirements from SMEs point of view Senior engineer manually selects similar projects, inspects, and includes reusable artifacts Prepare cost calculation Two dangers Reusable artifacts not found (too many projects, too less time) offer too expensive Artifacts actually not reusable project loss June 7-8th 2oo istar 200 5/2

9 Challenges during Offer Development Offer development Model requirements from SMEs point of view Senior Support engineer manually in identifying selects similar similar projects, inspects, - Similar and = requirements includes reusable match artifacts Prepare - Reduce cost and calculation focus number of relevant Two dangers projects to be inspected in-depth Reusable artifacts not found (too many projects, too less time) offer too expensive Artifacts actually not reusable project loss June 7-8th 2oo istar 200 5/2

10 Similarity Search Pre-defined queries (currently ) referring to the domain model Ad-hoc, userdefined queries Query weights, sum up to Earlier projects stored in the database Objects from current project that occur also in the earlier project Overall ranking June 7-8th 2oo istar 200 6/2

11 Domain Model Evolution Adjust domain model to reasonable size and to reflect new innovations update Problems for model comparison push domain model changes to finalized projects June 7-8th 2oo istar 200 7/2

12 Domain Model Evolution (2) Suggestions for reductions, extensions from usage in previous projects Computation of extension in 5 steps Identify project-specific extensions Compute similarity between them (shared anchor objects in domain model) Group similar extensions Inspection and implementation by engineer Store results June 7-8th 2oo istar 200 8/2

13 Domain Model Evolution (2) Suggestions Extension +2 for reductions, extensions from usage in previous projects Computation of extension in 5 steps Identify project-specific extensions Compute similarity between them (shared anchor objects in domain model) Group similar extensions Inspection and implementation by engineer Store results June 7-8th 2oo istar 200 8/2

14 Transformation to Simulink. Take design decisions Requirements model (PIM) Manual Support for checking readiness Implementation Details ConceptBase System module Automated Refined model (PIM) 2. Derive Matlab/Simulink skeleton Matlab/Simulink model (PSM Matlab) (PIM RCP) 3. Incorporate hardware details i module i framework i models Model-to-model query i model, reformat results via answer format Simulink module Simulink framework Simulink models Model-to-text Query-based XML export SimEx-Tool by IT Power Consult Interactive Add RCP platform specific libraries Specific libraries considered (PSM RCP) June 7-8th 2oo istar 200 9/2

15 Summary interdisciplinary methodology consider non-functional requirements pressure set point rail pressure controller pressure drops via injectors pressure valve actuator pressure set point flexibility rail pressure controller pressure sensor pressure valve actuator pressure sensor equal treatment of continuously model-based hardware software comprehensively optimal solutions domain- & project-oriented reuse new model-based comparison formalization, analysis support traceability, configuration management variant sub customer needs feature buys realized by responsible developer task costs concerns process product consists of component realizes version variant sub June 7-8th 2oo istar 200 successor 0/2

16 Future Work Enhance domain model evolution support, e.g. by additional heuristics Simulation at RE level against abstract model of controlled system? against detailed Matlab/Simulink model? Investigate sociality of i actors in control system setting Apply domain model based approach to other fields June 7-8th 2oo istar 200 /2

17 i Wiki Quick guide Tool comparison Growing community i workshops i news, e.g. on istarml, upcoming events, project ideas, June 7-8th 2oo istar 200 2/2

18 ZAMOMO Publications [RE 2009] H. W. Nissen, D. Schmitz, M. Jarke, T. Rose, P. Drews, F. J. Hesseler, M. Reke: Evolution in Domain Model-Based Requirements Engineering for Control Systems Development, Atlanta, 2009, IEEE 2009] H. W. Nissen, D. Schmitz, M. Jarke, T. Rose: How to Keep Domain Requirements Models Reasonably Sized, Atlanta, 2009, IEEE [ECMDA 2009] D. Schmitz, M. Zhang, T. Rose, M. Jarke, A. Polzer, J. Palczynski, S. Kowalewski, M. Reke: Mapping Requirement Models to Mathematical Models in Control System Development, Enschede, 2009, LNCS 5562, Springer [Euromicro 2009] D. Schmitz, W. Deng, T. Rose, M. Jarke, H. Nonn, K. Sanguanpiyapan: Configuration Management for Realtime Simulation Software, SPPI Track, Patras, 2009, IEEE [RE 2008] D. Schmitz, H. W. Nissen, M. Jarke, T. Rose, P. Drews, F. J. Hesseler, M. Reke: Requirements Engineering for Control Systems Development in Small and Medium-Sized Enterprises, Barcelona, 2008, IEEE 2008] D. Schmitz, H. W. Nissen, M. Jarke, T. Rose: Telos: Representing Knowledge about Control Systems?, Barcelona, 2008, IEEE [SE 2008] D. Schmitz, P. Drews, F. J. Hesseler, M. Jarke, S. Kowalewski, J. Palczynski, A. Polzer, M. Reke, T. Rose: Modellbasierte Anforderungserfassung für softwarebasierte Regelungen, Munich, Feb June 7-8th 2oo istar 200

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