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EN
Mutation testing – a fault-based technique for software testing – is a computationally expensive approach. One of the powerful methods to improve the performance of mutation without reducing effectiveness is to employ parallel processing, where mutants and tests are executed in parallel. This approach reduces the total time needed to accomplish the mutation analysis. This paper proposes three strategies for parallel execution of mutants on multicore machines using the Parallel Computing Toolbox (PCT) with the Matlab Distributed Computing Server. It aims to demonstrate that the computationally intensive software testing schemes, such as mutation, can be facilitated by using parallel processing. The experiments were carried out on eight different Simulink models. The results represented the efficiency of the proposed approaches in terms of execution time during the testing process.
EN
The paper addresses the problem of face recognition, using matrix description of original face images. Reduced dimensionality matrix representation of face image is obtained with linear discriminant analysis (LDA) applied simultaneously to rows and columns of original image matrix, called LDArc. We have extended the applicability of LDA to a case of one training image per person, using simple methods of training image “replication” with so called “down-sampling” procedure. Developed method is applied with success to a few well known face database, like ORL, FERET and Face94.
PL
W artykule przedstawiono strukturę i model specyficznego FaRetSys. Przedstawiono sposoby działania oraz zastosowania FaRetSys. Ocena skuteczności wyszukiwania podobnych do QF obrazów twarzy, została uzasadniona teoretycznie i udowodniona drogą eksperymentów na standardowych bazach obrazów twarzy: FERET i ORL.
EN
In this article, the problem of retrieval faces similar to the pattern from large, national and international face databases it addressed. The mam assumptions of face database and appropriate strategies in forming face retrieval system are described. The article also presents the idea of specialized FaRetSys working in the cascade structure. High efficiency of the proposed system was proved in the theoretical and experimental way on the standard face images databases: ORL and FERET.
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