Download Advanced Information Systems Engineering Workshops: CAiSE by Lazaros Iliadis, Michael Papazoglou, Klaus Pohl PDF

By Lazaros Iliadis, Michael Papazoglou, Klaus Pohl

This e-book constitutes the completely refereed lawsuits of 5 foreign workshops held in Thessaloniki, Greece, together with the twenty sixth overseas convention on complex details structures Engineering, CAiSE 2014, in June 2014.

The 24 complete and 8 brief papers have been conscientiously chosen from sixty three submissions.

The 5 workshops have been the 1st foreign Workshop on complicated likelihood and data in info structures (APSIS), the 1st overseas Workshop on Advances in companies layout in keeping with the proposal of strength, the second one overseas Workshop on Cognitive facets of data platforms Engineering (COGNISE), the 3rd Workshop on New iteration company and enterprise Innovation structures (NGEBIS), and the 4th overseas Workshop on details platforms protection Engineering (WISSE).

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Read or Download Advanced Information Systems Engineering Workshops: CAiSE 2014 International Workshops, Thessaloniki, Greece, June 16-20, 2014. Proceedings PDF

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Additional info for Advanced Information Systems Engineering Workshops: CAiSE 2014 International Workshops, Thessaloniki, Greece, June 16-20, 2014. Proceedings

Sample text

The Mahalanobis - Taguchi (MT) strategy is a statistical methodology combining various mathematical concepts and is used for diagnosis and classification in multidimensional systems. MT is a very efficient method and has been applied to a wide range of disciplines so far. However, its feature selection phase, which uses experimental designs (orthogonal arrays), is susceptible to improvement. In this paper, we propose a methodology that incorporates MT and a Genetic Algorithm (MT-GA), with the latter being used both for optimizing the feature selection step of MT and for determining the most suitable training set.

Our sample set of open source Java projects are quite diverse with respect to application domains, number of revisions, number of elements etc. The process described in this paper is independent of a specific programming language, though. It can be easily applied and used to analyze the evolution of projects which are coded in a different programming language. The only two constraints are: 1) a suitable design model representation for the respective language exists and 2) there is a model differencing tool capable of comparing these models.

Step 4: Reconstruction of the scale. After selecting the subset of the most useful features, the measurement scale is reconstructed using only these variables. The reconstructed scale is used to compute the MD values for any unknown cases, in order to take any corrective actions, if necessary. The final measurement scale can be used for future diagnosis after defining an appropriate threshold. 3 Genetic Algorithm The Genetic algorithm (GA) is a part of the field of evolutionary computing, which is an artificial intelligence area dealing with combinatorial optimization problems.

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