In order to generate substantial market impact, mobile applications must be able to run on multiple platforms. Hence, software engineers face a multitude of technologies and system versions resulting in static variability. Furthermore, due to the dependence on sensors and connectivity, mobile software has to adapt its behavior accordingly at runtime resulting in dynamic variability. However, software engineers need to assure quality of a mobile application even with this large amount of variability—in our approach by the use of model-based testing (i.e., the generation of test cases from models). Recent concepts of test metamodels cannot efficiently handle dynamic variability. To overcome this problem, we propose a process for creating black-box test models based on dynamic feature Petri nets, which allow the description of configuration-dependent behavior and reconfiguration. We use feature models to define variability in the system under test. Furthermore, we illustrate our approach by introducing an example translator application.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa.de:bsz:14-qucosa-126018 |
| Date | 08 November 2013 |
| Creators | Püschel, Georg, Seidl, Christoph, Neufert, Mathias, Gorzel, André, Aßmann, Uwe |
| Contributors | Technische Universität Dresden, Fakultät Informatik, T-Systems Multimedia Solutions, Test- & Integration Center, Technische Universität Dresden, Fakultät Informatik |
| Publisher | Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | doc-type:workingPaper |
| Format | application/pdf |
| Relation | dcterms:isPartOf:Technische Berichte / Technische Universität Dresden, Fakultät Informatik ; 2013,01 (TUD-Fl13-01-Sept. 2013) |
Page generated in 0.0022 seconds