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The Incremental Maintenance of Transition Tour

Németh G. A., Pap Z.

Fundamenta Informaticae

2014

Vol. 129, nr 3

279--300

While evolutionary developmentmethodologies have become increasingly prevalent, incremental testing methods are lagging behind. Most traditional test generation algorithms – including the Transition Tour method – rebuild test sequences from scratch even if minimal changes to the system have been made. In the current paper we propose two incremental algorithms to update a Transition Tour test sequence after changes in a deterministic finite state machine model. Our solution uses existing information – the Eulerian graph of a previous version of the system and an Euler tour in it – to update the test cases of the system in response to modification. The first algorithm keeps an Eulerian graph up to date, while the second algorithm maintains an Euler tour in the augmented graph. Analytical and practical analyses show that our algorithms are very efficient in the case of changing specifications. We also demonstrate our methods through an example.

Efficient implementation of background generation method based on pixel occurrences

Bubliński Z., Pawlik P.

Image Processing & Communications

2013

Vol. 18, no. 2-3

43--47

The paper presents the implementation of modified background generation algorithm based on analysis of the frequency of occurrences of pixels. The proposed solution allows the use of the algorithm in real-time systems, which was quite difficult in the original method. The results show that the modified algorithm gives practically the same background as the original method but in significantly less time and can be applied in many tasks related to the detection and analysis of moving objects.