Featured Event Sequence Graphs for Model-Based Incremental Testing of Software Product Lines
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Date
2019
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE COMPUTER SOC
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
The goal of software product lines (SPLs) is rapid development of high-quality software products in a specific domain with cost minimization. To assure quality of software products from SPLs products need to be tested systematically. However testing every product variant in isolation is generally not feasible for large number of product variants. An approach to deal with this issue is to use incremental testing where test artifacts that are developed for one product are reused for another product which can be obtained by incrementally adding features to the prior product. We propose a novel model-based test generation approach for products developed using SPL that follows incremental testing paradigm. First we introduce Featured Event Sequence Graphs (FESGs) an extension of ESGs that provide necessary definitions and operations to support commonalities and variabilities in SPLs with respect to test models. Then we propose a test generation technique for the product variants of an SPL which starts from any product. The proposed technique with FESGs avoids redundant test generation for each product from SPL. We compare our technique with in-isolation testing approach by a case study.
Description
Keywords
software product lines, model-based testing, incremental testing, event sequence graphs, CHECKING, Software Product Lines, Model-Based Testing, Event Sequence Graphs, Incremental Testing, Incremental testing, Event sequence graphs, Software product lines, Model-based testing
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
6
Source
43rd IEEE-Computer-Society Annual International Computers Software and Applications Conference (COMPSAC)
Volume
Issue
Start Page
197
End Page
202
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Citations
CrossRef : 1
Scopus : 5
Captures
Mendeley Readers : 8
Web of Science™ Citations
5
checked on Apr 08, 2026
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