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V nalogi smo za obdobje 1976%2005 preučevali odzive telesnih kazalnikov jelenjadi glede na številčnost jelenjadi, ki je določenega leta poseljevala območje LPN Jelen Sneţnik. Telesni kazalci, ki smo jih analizirali, so telesna masa ločeno po spolu in starostnih kategorijah za vse osebke, pri odraslih jelenih smo analizirali še maso rogovja in število CIC točk rogovja. Populacijsko gostoto smo rekonstruirali s pomočjo povratnega računanja iz podatkov, dobljenih iz evidenc odvzete jelenjadi. Rezultati so pokazali, da se je številčnost populacije gibala od 5,8 pa do 2,6 osebka na 100 hektarjev. Analize kaţejo, da populacijska gostota ni statistično značilno vplivala na telesno maso telet in enoletne jelenjadi. Pokazal pa se je vpliv populacijske gostote na telesno maso odrasle jelenjadi in to pri obeh spolih. Pri analizi vplivov na maso rogovja in število CIC točk rogovja smo ugotovili, da nanju pozitivno vplivata višja starost in višja telesna masa, negativno pa nanju vpliva populacijska gostota. In this graduation thesis we were analyzing body indicators of red deer in the area of LPN Jelen Sneţnik, depending to population density in the period from 1976 to 2005. Analyzed body indicators are: body mass separated by sex and age category for all individuals, for adult male we analyzed also antler mass and CIC points of antler. Population density was reconstructed using reverse calculation, from data obtained from year harvesting. The results showed that the population density varied from 2,6 up to 5,8 individuals per 100 hectares. Analysis show that population density do not statistically significant influence the body weight of deer calves and yearlings. On the other hand we found statistically significant influence of population density on body weight for both sex of older animals. In analyzing the effects on antler weight and number of antler CIC points, we found a positive influence on them by older age and higher body weight, but they were influenced negatively by population density.

[EN] Mutation Testing is a well-established technique for assessing the quality of test cases by checking how well they detect faults injected into a software artefact (mutant). Using this technique, the most critical activity is the adequate design of mutation operators so that they reflect typical defects of the artefact under test. This paper presents the design of a set of mutation operators for Conceptual Schemas (CS) based on UML Class Diagrams (CD). In this paper, the operators are defined in accordance with an existing defects classification for UML CS and relevant elements identified from the UML-CD meta-model. The operators are subsequently used to generate first order mutants for a CS under test. Finally, in order to analyse the usefulness of the mutation operators, we measure some basic characteristics of mutation operators with three different CSs under test., This work has been developed with the financial support by SENESCYT of the Republic of Ecuador, European Commission (CaaS project) and Generalitat Valenciana (PROMETEOII/2014/039)

International audience; Observing information systems projects shows that information systems engineering (ISE) methods are underused. The iAMF project aims at (a) tracing stakeholders' activities to identify whether this statement is true and (b) proposing more efficient ISE methods. To trace stakeholders' activities, we need a tool able to record any computerized actions - as opening applications, modifying documents, compiling programs, etc. This paper presents a review of trace-based tools that was undertaken to address the issue of recording information systems engineering methods enactment. We followed the MADISE decision making approach to select the most appropriate trace-based tool for the iAMF project.

Organization’s concerns as controlling costs, improving quality, increasing effectiveness, and managing risk increasingly impose strong requirements on Business-IT alignment (B-ITa). Several Maturity Models came into being for considering improvement actions in B-ITa. The IT-Enabled Collaborative Network organizations (ICoNOs) maturity model specifically addresses the processes needed for achieving B-ITa in networked organizations. We have evaluated ICoNOs maturity model on a case study in an Asian organization. On the basis of this study, we propose to introduce a new domain named as “Cost Management‿.

Community structure is largely regarded as an intrinsic property of complex real-world networks. However, recent studies reveal that networks comprise even more sophisticated modules than classical cohesive communities. More precisely, real-world networks can also be naturally partitioned according to common patterns of connections between the nodes. Recently, a propagation based algorithm has been proposed for the detection of arbitrary network modules. We here advance the latter with a more adequate community modeling based on network clustering. The resulting algorithm is evaluated on various synthetic benchmark networks and random graphs. It is shown to be comparable to current state-of-the-art algorithms, however, in contrast to other approaches, it does not require some prior knowledge of the true community structure. To demonstrate its generality, we further employ the proposed algorithm for community detection in different unipartite and bipartite real-world networks, for generalized community detection and also predictive data clustering.

Fraud in motor insurance is assessed to incur annual losses in the range of 100 billion dollars. While much research exists in the fraud management field, majority only deals with partial problems and presupposes the independence of specific fraud management activities. Researches on components of fraud management system are rarely explicitly related to business performance improvements. These results in a common problem, which can be observed on the practitioners’ side: only small amount of companies can objectively assess which of the many fraud management system components proposed by researchers and vendors will help to solve their problems in fraud management. The method proposed in this paper can be used as a strategic tool for improvement of fraud management process in motor insurance companies. The method is designed to be used for a selection of fraud management system components, and is based on business performance. The input for the method is a set of key performance indicators that an insurance companies wish to improve. The result is a set of activities, which should be improved, and a set of fraud management system components that should be used to improve these activities. The paper presents and explains the method and its components. The method components have been developed based on the data received from Slovenian motor insurance companies and method is evaluated in three case studies. Article in English. Transporto priemonių draudimo apgavysčių valdymo sistemos komponentų pasirinkimo metodas, grindžiamas verslo veiklos efektyvumu Santrauka.Apgavystės transporto priemonių draudimo srityje lemia draudimo kompanijų nuostolius, kurie vertinami 100 milijardų dolerių per metus. Dėl to apgavysčių valdymo srityje atliekama nemažai tyrimų, tačiau daugumoje iš jų nagrinėjamos tik dalinės problemos ir daromos prielaidos, kad apgavysčių valdymo veiklos rūšys nepriklauso viena nuo kitos. Apgavysčių valdymo sistemų komponentų tyrimai retai tiesiogiai siejami su jų įtaka verslo veiklos efektyvumui. Tai lemia dažną problemą, kuri būdinga praktiniam apgavysčių valdymo sistemų naudojimui: tik nedaug draudimo kompanijų gali objektyviai įvertinti, kuris iš daugelio apgavysčiu valdymo sistemų komponentų, siūlomų tyrėjų ir pardavėjų, padėtu jiems išspręsti problemas, susijusias su apgavysčių valdymu. Darbe siūlomas metodas, kuris gali būti panaudotas kaip strateginė priemonė, skirta apgavysčių valdymo procesui patobulinti transporto priemonių draudimo kompanijose. Metodas sukurtas taip, kad galėtų būti naudojamas apgavysčių valdymo sistemu komponentams pasirinkti remiantis verslo veiklos efektyvumu. Pradiniai metodo naudojami duomenys yra svarbiausių veiklos efektyvumo rodiklių, kuriuos kompanijos nori patobulinti, rinkinys. Rezultatas yra veiklos rūšių, kurios turėtų būti patobulintos, rinkinys ir apgavysčių valdymo sistemos komponentų rinkinys, kuris turėtų būti panaudotas sprendžiant suformuluotą apgavysčių valdymo uždavinį. Straipsnyje aprašytas pasiūlytas metodas ir siūlomi naudoti sistemos komponentai. Metodą realizuojantys komponentai buvo sukurti remiantis duomenimis, kurie gauti iš Slovėnijos transporto priemonių draudimo kompanijų. Pasiūlytas metodas ir jį įgyvendinanti sistema buvo išbandyti atliekant tris praktinius eksperimentus, kurių rezultatai pateikti straipsnyje. Reikšminiai žodžiai: apgavysčių valdymas,apgavysčių valdymo sistemos,apgavysčių valdymo sistemų kūrimas,verslo veiklos efektyvumas,svarbiausi veiklos efektyvumo rodykliai,transporto priemonių draudimas.

Label propagation has proven to be a fast method for detecting communities in complex networks. Recent work has also improved the accuracy and stability of the basic algorithm, however, a general approach is still an open issue. We propose different label propagation algorithms that convey two unique strategies of community formation, namely, defensive preservation and offensive expansion of communities. Furthermore, the strategies are combined in an advanced label propagation algorithm that retains the advantages of both approaches; and are enhanced with hierarchical community extraction, prominent for the use on larger networks. The proposed algorithms were empirically evaluated on different benchmarks networks with planted partition and on over 30 real-world networks of various types and sizes. The results confirm the adequacy of the propositions and give promising grounds for future analysis of (large) complex networks. Nevertheless, the main contribution of this work is in showing that different types of networks (with different topological properties) favor different strategies of community formation.

Situational method engineering (SME) is concerned with the design, construction, and evaluation of methods that are aimed at the development of particular software products in well-defined development situations. The SME approach features characteristics such as flexibility, adaptability, modularity, reusability, and reference to situational aspects. These aspects may not only be useful for the engineering of software but also for the engineering of work systems, organizational structures, or enterprises. This paper therefore presents exemplary applications of the SME approach in domains that are different from software engineering. It furthermore discusses potentials and limitations of the transfer and application of SME principles, concepts, and techniques to those subject areas.