Risk-Driven Model-Based Testing of Washing Machine Software: An Industrial Case Study

Author(s):  
Abdulhadi Kirkici ◽  
Ceren Sahin Gebizli ◽  
Hasan Sozer
Author(s):  
Detlef Streitferdt ◽  
Florian Kantz ◽  
Philipp Nenninger ◽  
Thomas Ruschival ◽  
Holger Kaul ◽  
...  

This article reports the results of an industrial case study demonstrating the efficacy of a model-based testing process in assuring the quality of highly configurable systems from the automation domain. Escalating demand for flexibility has made modern embedded software systems highly configurable. This configurability is often realized through parameters and a highly configurable system possesses a handful of those. Small changes in parameter values can account for significant changes in the system’s behavior, whereas in other cases, changed parameters may not result in any perceivable reaction. This case study addresses the challenge of applying model-based testing to configurable embedded software systems to reduce development effort. As a result of the case study, a model-based testing process was developed and tailored toward the needs of the automation domain. This process integrates existing model-based testing methods and tools, such as combinatorial design and constraint processing. The testing process was applied as part of the case study and analyzed in terms of its actual saving potentials, which reduced the testing effort by more than a third.


Author(s):  
Detlef Streitferdt ◽  
Florian Kantz ◽  
Philipp Nenninger ◽  
Thomas Ruschival ◽  
Holger Kaul ◽  
...  

This article reports the results of an industrial case study demonstrating the efficacy of a model-based testing process in assuring the quality of highly configurable systems from the automation domain. Escalating demand for flexibility has made modern embedded software systems highly configurable. This configurability is often realized through parameters and a highly configurable system possesses a handful of those. Small changes in parameter values can account for significant changes in the system’s behavior, whereas in other cases, changed parameters may not result in any perceivable reaction. This case study addresses the challenge of applying model-based testing to configurable embedded software systems to reduce development effort. As a result of the case study, a model-based testing process was developed and tailored toward the needs of the automation domain. This process integrates existing model-based testing methods and tools, such as combinatorial design and constraint processing. The testing process was applied as part of the case study and analyzed in terms of its actual saving potentials, which reduced the testing effort by more than a third.


2015 ◽  
Vol 3 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Taeho Kim ◽  
Sungwon Kang

In order to successfully carry out software product line engineering, it is important to manage variability and explicit traceability management of variabilities with development artifacts. Trace links of variability with development artifacts allows software engineers to have rapid product development and reduces maintenance efforts resulting from requirement changes or defect corrections as trace links improve the understandability of their side effects. In this study, the authors present a Variability Tracing Approach (VTA), which consists of variability analysis, variability classification, and variability implementation. The proposed approach is applied to developing the development of a washing machine software platform. This paper describes the results of how a member product can be configured under the proposed VTA.


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