DocumentCode :
2123545
Title :
Goal-Oriented Test Case Selection and Prioritization for Product Line Feature Models
Author :
Ensan, Alireza ; Bagheri, Ebrahim ; Asadi, Mohsen ; Gasevic, Dragan ; Biletskiy, Yevgen
fYear :
2011
fDate :
11-13 April 2011
Firstpage :
291
Lastpage :
298
Abstract :
The software product line engineering paradigm is amongst the widely used means for capturing and handling the commonalities and variabilities of the many applications of a target domain. The large number of possible products and complex interactions between software product line features makes the effective testing of them a challenge. To conquer the time and space complexity involved with testing a product line, an intuitive approach is the reduction of the test space. In this paper, we propose an approach to reduce the product line test space. We introduce a goal-oriented approach for the selection of the most desirable features from the product line. Such an approach allows us to identify the features that are more important and need to be tested more comprehensively from the perspective of the domain stakeholders. The more important features and the configurations that contain them will be given priority over the less important configurations, hence providing a hybrid test case reduction and prioritization strategy for testing software product lines.
Keywords :
computational complexity; product development; program testing; software reusability; goal-oriented test case selection; product line feature model prioritization; software product line engineering paradigm; software product line testing; space complexity; time complexity; Analytical models; Cognition; Complexity theory; Maintenance engineering; Marketing and sales; Software; Testing; Feature Models; Goal Models; Product Lines; Test Case Prioritization; Test Case Selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology: New Generations (ITNG), 2011 Eighth International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-61284-427-5
Electronic_ISBN :
978-0-7695-4367-3
Type :
conf
DOI :
10.1109/ITNG.2011.58
Filename :
5945249
Link To Document :
بازگشت