DocumentCode
119399
Title
Deriving Usage Model Variants for Model-Based Testing: An Industrial Case Study
Author
Samih, Hamza ; Le Guen, Helene ; Bogusch, Ralf ; Acher, Mathieu ; Baudry, Benoit
Author_Institution
ALL4TEC, France
fYear
2014
fDate
4-7 Aug. 2014
Firstpage
77
Lastpage
80
Abstract
The strong cost pressure of the market and safety issues faced by aerospace industry affect the development. Suppliers are forced to continuously optimize their life-cycle processes to facilitate the development of variants for different customers and shorten time to market. Additionally, industrial safety standards like RTCA/DO-178C require high efforts for testing single products. A suitably organized test process for Product Lines (PL) can meet standards. In this paper, we propose an approach that adopts Model-based Testing (MBT) for PL. Usage models, a widely used MBT formalism that provides automatic test case generation capabilities, are equipped with variability information such that usage model variants can be derived for a given set of features. The approach is integrated in the professional MBT tool MaTeLo. We report on our experience gained from an industrial case study in the aerospace domain.
Keywords
aerospace computing; aerospace industry; aerospace testing; product life cycle management; production engineering computing; MBT tool; MaTeLo; PL; RTCA/DO-178C; aerospace domain; aerospace industry; automatic test case generation capabilities; cost pressure; industrial safety standards; life-cycle processes; model-based testing; product lines; product testing; usage model variants; Aerospace industry; Atmospheric modeling; Computational modeling; Markov processes; Software; Testing; Unified modeling language; Model-based Testing; Orthogonal Variability Model; Product Line; Requirements; Usage Model;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering of Complex Computer Systems (ICECCS), 2014 19th International Conference on
Conference_Location
Tianjin
Print_ISBN
978-1-4799-5481-0
Type
conf
DOI
10.1109/ICECCS.2014.19
Filename
6923121
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