DocumentCode
2072126
Title
Resolving uncertainty in automotive feature interactions
Author
Arora, Silky ; Sampath, Prahladavaradan ; Ramesh, S.
Author_Institution
India Sci. Lab., Global Gen. Motors R&D, Bangalore, India
fYear
2012
fDate
24-28 Sept. 2012
Firstpage
21
Lastpage
30
Abstract
The modern automobile is a complex electronic system with a number of features providing functionalities for driver and passenger convenience, control of the vehicle, and safety of the occupants. As new features are developed and introduced into the automobile, they interact with already existing features, sometimes resulting in undesirable behaviours. These undesirable interactions are often detected very late in the development cycle, or sometimes even in the field. This introduces uncertainty in the system development process as changes to address these interactions often result in a cascading series of changes whose scope is difficult to predict. This paper presents a method and algorithms for identifying and resolving feature interactions early in the development life-cycle by addressing the problem at the level of requirements specifications. We have applied this method successfully in the automotive domain and present a case study of detecting and resolving feature interactions.
Keywords
automobiles; automotive electronics; formal specification; automobile; automotive domain; automotive feature interaction; complex electronic system; development life-cycle; driver convenience; occupant safety; passenger convenience; requirement specification; system development process; uncertainty resolution; vehicle control; Algorithm design and analysis; Context; Feature extraction; Latches; Security; Unified modeling language; Vehicles; Feature interaction; Requirements analysis; Scenarios;
fLanguage
English
Publisher
ieee
Conference_Titel
Requirements Engineering Conference (RE), 2012 20th IEEE International
Conference_Location
Chicago, IL
ISSN
1090-750X
Print_ISBN
978-1-4673-2783-1
Electronic_ISBN
1090-750X
Type
conf
DOI
10.1109/RE.2012.6345807
Filename
6345807
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