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Highly nonlinear spatial-temporal patterns are inevitable features of lasing in the low-Q (bad) cavities where a photon lifetime, T E , is less than a polarization relaxation time (a lifetime of the optical dipole oscillations), T 2 , of the individual active centers excited by pumping [1]. A theoretical analysis of the spatial-temporal dynamics of the field and its spectral and correlation features in such lasers, known as the superradiant lasers, cannot be based on a standard decomposition on neither ‘cold’ no ‘hot’ modes which have fixed spatial profiles and are defined, respectively, by a cavity without or with taking into account the active medium. A progress in modern technologies, especially in the field of semiconductor heterostructures, leaves no doubts about near fabrication of these lasers and their applications in the optical information processing, the wideband dynamical spectroscopy, and diagnostics of many-particle systems in condensed active media.

Modern software development is currently seeking new paths to improve quality and meet time and cost constraints. Reuse of existing software components is considered one of these paths. However, this process experiences significant problems related to efficiently maintaining component repositories, and, moreover, providing the means to discover and retrieve the most suitable ones. This paper aims to provide a methodology to improve the component-based software development process. Specifically, its objective is to introduce an approach that reduces the time to locate suitable software components. The suggested methodology meets the requirements for the efficient searching of components in repositories and also addresses the need for adequate retrieval of the most suitable software components based on the needs of developers. To achieve this we employ a combination of partitional clustering algorithms borrowed from the field of computational intelligence and fuzzy logic thus creating a subset of the available components that are most suitable to the developers' preferences.