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Nature Inspired System Analysis

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dc.contributor.authorTenev, Vasil
dc.date.accessioned2017-09-26T20:08:18Z
dc.date.available2017-09-26T20:08:18Z
dc.date.issued2017
dc.description.abstractThe process of cloning variants of a system to accommodate increasing customization is often state of the practice where code duplication is caused by the combination of maintenance problems, high customization, and time pressure. This particular situation motivates the research on similarity analysis of system variants. Similarity determination, variability information recovery, and evolu- tion history reconstruction are prime goals in this context. Analogous research problems appear in the bioinformatics. The growing amount of DNA/RNA sequence data requires efficient similarity analysis and proper visualizations. This branch of computer science faces the tasks of simultaneous aligning for multiple genome sequences, and estimating evolutionary correlations in a given set of taxa. Hence, we applied these techniques to analyze a group of related systems from the BSD Unix family as prove of concept towards model-based variant analysis of complex systems.en
dc.identifier.pissn0720-8928
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/4687
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V., Fachgruppe PARS
dc.relation.ispartofSoftwaretechnik-Trends: Vol. 37, No. 2
dc.subjectreverse engineering
dc.subjectsoftware variants
dc.subjectsoftware evolution
dc.subjectvisualization
dc.titleNature Inspired System Analysisen
gi.citation.endPage45
gi.citation.publisherPlaceBerlin
gi.citation.startPage44
gi.conference.sessiontitle19. Workshop Software-Reengineering und -Evolution der der GI-Fachgruppe Software Reengineering (SRE) und 8. Workshop “Design for Future” des GI-Arbeitskreises “Langlebige Softwaresysteme (L2S2)” am 2.-4. Mai 2016, Bad-Honnef

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Softwaretechnik-Trends 37(2) - 2017