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Interactive Techniques to Support the Configuration of Complex Feature Models

  • Whenever a software engineer derives a product from a prod-uct line, he has to resolve variability by making con_guration decisions.This con_guration process can become rather complex because of depen-dencies within the variability model and knock-on e_ects and dependen-cies in other related artefacts. Because of the limited cognitive capacity ofthe human engineer, this complexity limits the ability of handling prod-uct lines with large con_guration spaces. To address this problem wefocus on techniques that support the interactive con_guration of largerfeature models, including (1) visual interaction with a formal reason-ing engine, (2) visual representation of multiple interrelated hierarchies,(3) indicators for con_guration progress and (4) _ltering of visible nodes.The concepts are demonstrated within S2T2 Con_gurator, an interactivefeature con_guration tool. The techniques are discussed and evaluatedwith feature models, however, we believe they can be generalised to othermodels that describe con_guration choices, e.g., variabilityWhenever a software engineer derives a product from a prod-uct line, he has to resolve variability by making con_guration decisions.This con_guration process can become rather complex because of depen-dencies within the variability model and knock-on e_ects and dependen-cies in other related artefacts. Because of the limited cognitive capacity ofthe human engineer, this complexity limits the ability of handling prod-uct lines with large con_guration spaces. To address this problem wefocus on techniques that support the interactive con_guration of largerfeature models, including (1) visual interaction with a formal reason-ing engine, (2) visual representation of multiple interrelated hierarchies,(3) indicators for con_guration progress and (4) _ltering of visible nodes.The concepts are demonstrated within S2T2 Con_gurator, an interactivefeature con_guration tool. The techniques are discussed and evaluatedwith feature models, however, we believe they can be generalised to othermodels that describe con_guration choices, e.g., variability models anddecision models.show moreshow less

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Metadaten
Author: Goetz Botterweck, Denny Schneeweiss, Andreas Pleuss
Document Type:Conference Proceeding
Language:English
Year of publication:2009
Tag:Konfigurationsmanagement; Produktlinien; Softwaretechnik
Quelle aus UBICO:International Workshop on Model-driven Approaches in Product Line Engineering (MAPLE 2009), collocated with the 13th International Software Product Line Conference (SPLC 2009)
Faculty/Chair:Fakultät 1 MINT - Mathematik, Informatik, Physik, Elektro- und Informationstechnik / FG Praktische Informatik / Softwaresystemtechnik
Institution name at the time of publication:Fakultät für Mathematik, Naturwissenschaften und Informatik (eBTU) / LS Praktische Informatik / Software-Systemtechnik
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