LRFI – Fault Injection Tool for Testing Mobile Software

Piotr Gawkowski , Przemysław Pawełczyk , Janusz Sosnowski , Krzysztof Cabaj , Marcin Gajda


Developing software for mobile platforms we face the problem of dealing with various erroneous situations, transient faults, component incompatibilities which influence their operations. This results in the need of embedding error detection mechanisms and handling them software procedures. This problem has been appreciated by Samsung. As the consequence of this need we have developed a special tool (LRFI) which allows simulating various fault effects and observe their propagation as well as the effectiveness of handling them in real mobile products of Samsung. The paper outlines the capabilities of fault injection technique and presents an original tool dedicated for mobile environment. Some practical experience with this tool has been also reported.
Author Piotr Gawkowski (FEIT / IN)
Piotr Gawkowski,,
- The Institute of Computer Science
, Przemysław Pawełczyk (FEIT / IN)
Przemysław Pawełczyk,,
- The Institute of Computer Science
, Janusz Sosnowski (FEIT / IN)
Janusz Sosnowski,,
- The Institute of Computer Science
, Krzysztof Cabaj (FEIT / IN)
Krzysztof Cabaj,,
- The Institute of Computer Science
, Marcin Gajda - [Samsung Electronics Polska Sp. Z O.o.]
Marcin Gajda,,
Book Ryżko Dominik Paweł, Rybiński Henryk, Gawrysiak Piotr, Kryszkiewicz Marzena (eds.): Emerging Intelligent Technologies in Industry, Studies in Computational Intelligence, vol. 369, 2011, Springer, ISBN 978-3-642-22731-8, 342 p., DOI:10.1007/978-3-642-22732-5
Keywords in Englishfault injection – software dependability – mobile systems
ASJC Classification1702 Artificial Intelligence
ProjectAdapting fault injection techniques to improve Samsung mobile products. Project leader: Sosnowski Janusz, , Phone: 22 234-7915, start date 11-01-2010, end date 06-01-2011, II/2010/PUK/2, Completed
Languageen angielski
Gaw-Paw-Sos-Cabaj-Gajda.pdf 471.67 KB
Score (nominal)4
Publication indicators WoS Citations = 6; Scopus Citations = 8; Scopus SNIP (Source Normalised Impact per Paper): 2011 = 0.384
Citation count*10 (2020-02-18)
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