1. Effects of differential time and difficulty weighting on the improvement of OSCE quality metricsMatic Mihevc, Klara Masnik, Tadej Petreski, Nejc Pulko, Sebastjan Bevc, 2022, izvirni znanstveni članek Ključne besede: OSCE, clinical skills, peer assessment, quality metrics, weighting, outliers
Objavljeno v DKUM: 17.01.2023; Ogledov: 186; Prenosov: 25
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2. Quantitative model for economic analyses of information security investment in an enterprise information systemRok Bojanc, Borka Jerman-Blažič, 2012, izvirni znanstveni članek Opis: The paper presents a mathematical model for the optimal security-technology investment evaluation and decision-making processes based on the quantitative analysis of security risks and digital asset assessments in an enterprise. The model makes use of the quantitative analysis of different security measures that counteract individual risks by identifying the information system processes in an enterprise and the potential threats. The model comprises the target security levels for all identified business processes and the probability of a security accident together with the possible loss the enterprise may suffer. The selection of security technology is based on the efficiency of selected security measures. Economic metrics are applied for the efficiency assessment and comparative analysis of different protection technologies. Unlike the existing models for evaluation of the security investment, the proposed model allows direct comparison and quantitative assessment of different security measures. The model allows deep analyses and computations providing quantitative assessments of different options for investments, which translate into recommendations facilitating the selection of the best solution and the decision-making thereof. The model was tested using empirical examples with data from real business environment.
Ključne besede: modelling, security technology, economic metrics, investment, enterprise information system
Objavljeno v DKUM: 22.01.2018; Ogledov: 930; Prenosov: 348
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3. Usage, Potentials and Challenges of Building Information Modelling (BIM) in Slovenia, Austria, Germany and SwitzerlandAmanda Jus, 2017, magistrsko delo Opis: In the master’s thesis, the main potentials, challenges and usage of Information Building Modelling (BIM) in Slovenia, Austria, Germany and Switzerland are presented, including its, because BIM is currently the most widely discussed topic in civil engineering.
The study was based on a questionnaire that was carefully created at the HSLU (Hochschule Luzern) in Switzerland. We participated in the last phases of its development. With the help of the results of the questionnaire, we evaluated the current usage and acceptance of BIM among all participants in the building process.
Ključne besede: civil engineering, BIM, Building Information Modelling, BIM metrics
Objavljeno v DKUM: 25.09.2017; Ogledov: 1793; Prenosov: 219
Celotno besedilo (6,88 MB)
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4. XML Schema metrics for quality evaluationMaja Pušnik, Marjan Heričko, Zoran Budimac, Boštjan Šumak, 2014, izvirni znanstveni članek Opis: In XML Schema development, the quality of XML Schemas is a crucial issue for further steps in the life cycle of an application, closely correlated with the structure of XML Schemas and different building blocks. Current research focuses on measuring complexity of XML Schemas and mainly do not consider other quality aspects. This paper proposes a novel quality measuring approach, based on existing software engineering metrics, additionally defining the quality aspects of XML Schemas using the following steps: (1) definition of six schema quality aspects, (2) adoption of 25 directly measurable XML Schema variables, (3) proposition of six composite metrics, applying 25 measured variables and (4) composite metrics validation. An experiment was conducted using 250 standard XML Schemas collected from available e-business information systems. The results illustrate the influence of XML Schemaʼs characteristics on its quality and evaluate the applicability of metrics in the measurement process, a useful tool for software developers while building or adopting XML Schemas.
Ključne besede: XML, metrics, quality variables, quality index, evaluation, validation
Objavljeno v DKUM: 06.07.2017; Ogledov: 1150; Prenosov: 387
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5. On automata and language based grammar metricsMatej Črepinšek, Tomaž Kosar, Marjan Mernik, Julien Cervelle, Rémi Forax, Gilles Roussel, 2010, izvirni znanstveni članek Opis: Grammar metrics have been introduced to measure the quality and the complexity of the formal grammars. The aim of this paper is to explore the meaning of these notions and to experiment, on several grammars of domain specific languages and of general-purpose languages, existing grammar metrics together with the new metrics that are based on grammar LR automaton and on the language recognized. We discuss the results of this experiment and focus on the comparison between grammars of domain specific languages as well as of general-purpose languages and on the evolution of the metrics between several versions of the same language.
Ključne besede: grammar metrics, software language engineering, grammar engineering, grammarware
Objavljeno v DKUM: 06.07.2017; Ogledov: 1323; Prenosov: 367
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6. A programming language independent framework for metrics-based software evolution and analysisČrt Gerlec, Gordana Rakić, Zoran Budimac, Marjan Heričko, 2012, izvirni znanstveni članek Opis: Knowledge about different aspects of software quality during software evolution can be valuable information for developers and project managers. It helps to reduce the number of defects and improves the internal structure of software. However, determining softwarećs quality and structure in heterogeneous systems is a difficult task. In this paper, a programming language independent framework for evaluating software metrics and analyzing software structure during software development and its evolution will be presented. The framework consists of the SMIILE tool for calculation of software metrics, extended with an analysis of software structure. The data are stored in a central repository via enriched Concrete Syntax Tree (eCST) for universal source code representation. The framework is demonstrated in a case study. The development of such a framework is a step forward to consistent support for software evolution by providing a change analysis and quality control. The significance of this consistency is growing today, when software projects are more complex, consisting of components developed in diverse programming languages.[Acknowledgments. Work of the second and third author is partially supported by the Serbian Ministry of Science and Technological Development through project no. OI174023 ĆIntelligent Techniquesand Their Integration into Wide-Spectrum Decision SupportĆ. Bilateral project between Slovenian Research Agency and Serbian Ministry of Science and Technological Development (Grant BI-SR/10-11-027) enabled the exchange of visits and ideas between authors of this paper and their institutions.]
Ključne besede: software evolution, software development, quality, structure, metrics
Objavljeno v DKUM: 06.07.2017; Ogledov: 1721; Prenosov: 351
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7. Planar cell polarity genes frizzled4 and frizzled6 exert patterning influence on arterial vessel morphogenesisRene Markovič, Julien Peltan, Marko Gosak, Denis Horvat, Borut Žalik, Benjamin Seguy, Remi Chauvel, Gregoire Malandain, Thierry Couffinhal, Cécile Dupláa, Marko Marhl, Etienne Roux, izvirni znanstveni članek Opis: Quantitative analysis of the vascular network anatomy is critical for the understanding of the vasculature structure and function. In this study, we have combined microcomputed tomography (microCT) and computational analysis to provide quantitative three-dimensional geometrical and topological characterization of the normal kidney vasculature, and to investigate how 2 core genes of the Wnt/planar cell polarity, Frizzled4 and Frizzled6, affect vascular network morphogenesis. Experiments were performed on frizzled4 (Fzd4-/-) and frizzled6 (Fzd6-/-) deleted mice and littermate controls (WT) perfused with a contrast medium after euthanasia and exsanguination. The kidneys were scanned with a high-resolution (16 μm) microCT imaging system, followed by 3D reconstruction of the arterial vasculature. Computational treatment includes decomposition of 3D networks based on Diameter-Defined Strahler Order (DDSO). We have calculated quantitative (i) Global scale parameters, such as the volume of the vasculature and its fractal dimension (ii) Structural parameters depending on the DDSO hierarchical levels such as hierarchical ordering, diameter, length and branching angles of the vessel segments, and (iii) Functional parameters such as estimated resistance to blood flow alongside the vascular tree and average density of terminal arterioles. In normal kidneys, fractal dimension was 2.07±0.11 (n = 7), and was significantly lower in Fzd4-/- (1.71±0.04; n = 4), and Fzd6-/- (1.54±0.09; n = 3) kidneys. The DDSO number was 5 in WT and Fzd4-/-, and only 4 in Fzd6-/-. Scaling characteristics such as diameter and length of vessel segments were altered in mutants, whereas bifurcation angles were not different from WT. Fzd4 and Fzd6 deletion increased vessel resistance, calculated using the Hagen-Poiseuille equation, for each DDSO, and decreased the density and the homogeneity of the distal vessel segments. Our results show that our methodology is suitable for 3D quantitative characterization of vascular networks, and that Fzd4 and Fzd6 genes have a deep patterning effect on arterial vessel morphogenesis that may determine its functional efficiency.
Ključne besede: cell polarity, vascular network, metrics, quantitative analyses
Objavljeno v DKUM: 19.06.2017; Ogledov: 1049; Prenosov: 374
Celotno besedilo (2,56 MB)
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8. METRICS-BASED RECOMMENDATION SYSTEM FOR SOFTWARE ENGINEERINGMarko Gašparič, 2013, magistrsko delo Opis: This thesis presents the state-of-the-art of recommendation systems for software engineering. The systematic literature review and the survey of authors of analyzed publications showed that the most successful characteristics of the systems are a modular architecture, that is not distributed, and a reactive behavior. Existing RSSEs are mostly standalone solutions or Eclipse plugins.
When developers study their own activities they improve their estimating and planning skills and reduce the number of defects in their work. We developed a prototype that is an Eclipse plugin and visualizes an overall team effort spent per source code artifact, source code metrics, and recommendations for source code improvements.
To evaluate the prototype we conducted nine interviews. Interviews showed that users find the functionalities of our system useful and would also like to get more information, particularly about an effort per developer. Additionally, interviews revealed that developers are willing to execute a non-repetitive task to use the system, while they are not willing to leave the development environment to obtain the same information and recommendations.
Ključne besede: recommendation system, software engineering, metrics
Objavljeno v DKUM: 05.09.2013; Ogledov: 1772; Prenosov: 167
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9. Analysis of neuromuscular disorders using statistical and entropy metrics on surface EMGRok Istenič, Prodromos A. Kaplanis, Constantinos S. Pattichis, Damjan Zazula, 2008, izvirni znanstveni članek Opis: This paper introduces the surface electromyogram (EMG) classification system based on statistical and entropy metrics. The system is intended for diagnostic use and enables classification of examined subject as normal, myopathic or neuropathic, regarding to the acquired EMG signals. 39 subjects in total participated in the experiment, 19 normal, 11 myopathic and 9 neuropathic. Surface EMG was recorded using 4-channel surface electrodes on the biceps brachii muscle at isometric voluntary contractions. The recording time was only 5 seconds long to avoid muscle fatigue, and contractions at fiveforce levels were performed, i.e. 10, 30, 50, 70 and 100 % of maximal voluntary contraction. The feature extraction routine deployed the wavelet transform and calculation of the Shannon entropy across all the scales in order to obtain a feature set for each subject. Subjects were classified regarding the extracted features using three machine learning techniques, i.e. decision trees, support vector machines and ensembles of support vector machines. Four 2-class classifications and a 3-class classification were performed. The scored classification rates were the following: 64+-11% for normal/abnormal, 74+-7% for normal/myopathic, 79+-8% for normal/neuropathic, 49+-20% for myopathic/neuropathic, and 63+-8% for normal/myopathic/neuropathic.
Ključne besede: surface electromyography, neuromuscular disorders, neuropathy, myopathy, EMG signals, signal processing, wavelet transform, metrics
Objavljeno v DKUM: 31.05.2012; Ogledov: 1691; Prenosov: 41
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