1. A product quality impacts of a mobile software product line : an empirical studyLuka Pavlič, Tina Beranič, Marjan Heričko, 2021, izvirni znanstveni članek Opis: Background: The software product lines (SPL) enable development teams to fully address a systematic reuse of shared assets to deliver a family of similar software products. Mobile applications are an obvious candidate for employing an SPL approach. This paper presents our research outcomes, based on empirical data from an industry-level development project. Two development teams were confronted with the same functionalities set to be delivered through a family of native mobile applications for Android and iOS.
Methods: Empirical data was gathered before, during and after a year of full-time development. The data demonstrate the impact of a SPL approach by comparing the SPL and non-SPL multiple edition development. One family of products (Android apps) was developed using an SPL approach, while another (iOS apps), functionally the same, was developed without employing an SPL approach. The project generated a volume of raw and aggregated empirical data to support our research questions.
Results: The paper reports a positive impact of an SPL approach on product quality (internal and external) and feature output per week. As data shows, it also increases the delivery of functionalities (240% in 6 more editions), while investing the same amount of effort needed for a single-edition development. As a result of system-supported separation of development and production code, developers had a high confidence in further development. On the other hand, the second team delivered less new functionalities, only two new application editions, and lower software quality than the team that manages multi-edition development by employing an SPL approach.
Ključne besede: software product line, Android, simultaneous development, iOS, Software quality, software product editions
Objavljeno v DKUM: 17.04.2025; Ogledov: 0; Prenosov: 0
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2. Software quality: how much does it matter?Peter Kokol, 2022, pregledni znanstveni članek Opis: Interconnected computers and software systems have become an indispensable part of
people’s lives in the period of digital transformation. Consequently, software quality research is
becoming more and more critical. There have been multiple attempts to synthesise knowledge
gained in software quality research; however, they were focused mainly on single aspects of software
quality and did not structure the knowledge holistically. To fill this gap, we harvested software
quality publications indexed in the Scopus bibliographic database. We analysed them using synthetic
content analysis which is a triangulation of bibliometrics and content analysis. The search resulted in
15,468 publications. The performance bibliometric analysis showed that the production of research
publications relating to software quality is currently following an exponential growth trend and that
the software quality research community is growing. The most productive country was the United
States, followed by China. The synthetic content analysis revealed that the published knowledge
could be structured into six themes, the most important being the themes regarding software quality
improvement by enhancing software engineering, advanced software testing and improved defect
and fault prediction with machine learning and data mining.
Ključne besede: software engineering, software quality, knowledge synthesis, bibliometrics, synthetic knowledge synthesis
Objavljeno v DKUM: 07.04.2025; Ogledov: 0; Prenosov: 2
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3. Measuring system for determining the quality of LED light sources and an overview of LED light bulbs for household useMatic Markovič, Andrej Orgulan, Primož Sukič, 2022, izvirni znanstveni članek Opis: Modern LED light sources have many advantages, as well as some disadvantages. One of
the disadvantages is the pulsating luminous flux, which, in some cases, affects people’s health and
well-being negatively. The paper describes the design and making process of a measuring system
for determining the quality of LED substitutes for conventional light bulbs and gives an overview
of LED light bulbs for household use. The measurement system is controlled using the MATLAB
software environment, in which data processing and plotting of the results are also performed. We
acquired 59 different LED light bulbs from 37 manufacturers, and performed the measurements.
The light bulbs are classified based on the percentage of fluctuations in the luminous flux, and the
percentage of deviation of the measured luminous flux compared to the value stated on the packaging
by the manufacturer.
Ključne besede: angular distribution of light, fluctuations in the luminous flux, LED light quality, measuring system, Red Pitaya
Objavljeno v DKUM: 01.04.2025; Ogledov: 0; Prenosov: 2
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4. When technology meets sustainability: microplastic removal from industrial wastewater, including impact analysis and life cycle assessmentJan Puhar, Michael Toni Sturm, Erika Myers, Dennis Schober, Anika Korzin, Annamaria Vujanović, Katrin Schuhen, 2025, izvirni znanstveni članek Opis: Microplastics (MPs) that are ubiquitous in aquatic environments and industrial wastewater streams have been identified as key hotspots of MP contamination. It is significantly more effective to remove MPs at these points before they enter municipal wastewater streams. This study is an environmental assessment of a novel pilot plant for the removal of MPs and the chemical oxygen demand (COD) from wastewater with a high MP contamination from a plastics manufacturer in Germany. MP removal is based on physical–chemical agglomeration–fixation by organosilanes. Formed agglomerates are separated using a belt filter. The COD is removed by an adsorption process. The resulting MP removal was 98.0 ± 1.1% by mass and 99.9987 ± 0.0007% by particle count, while the COD was reduced by 96 ± 2.7%. The system’s sustainability is evaluated using the Life Cycle Assessment methodology, evaluating system construction, operation, and end-of-life considerations. The current pilot plant is also compared to an optimized circular and sustainable upgrade, where drivers of environmental burdens are eliminated and collected MPs are reused. Significant reductions in environmental impact categories are achieved and the global warming potential is reduced by 96%. This study provides a sustainability assessment of a novel technology and circular solution to remove MPs from highly polluted industrial wastewater.
Ključne besede: microplastics, life cycle assessment, impact analysis, removal technology, sustainable process design, carbon footprint, water quality, circular economy
Objavljeno v DKUM: 14.03.2025; Ogledov: 0; Prenosov: 3
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5. Multicriteria assessment of the quality of waste sorting centers - ǂaǂ case studyKarmen Pažek, Jernej Prišenk, Simon Bukovski, Boris Prevolšek, Črtomir Rozman, 2020, izvirni znanstveni članek Opis: In this paper, the quality of the municipal waste sorting process in seven waste management centers in Slovenia was assessed using the qualitative multicriteria analysis (MCA) method DEX (Decision EXpert) implemented in DEXi software, which is based on multicriteria decomposition of the problem and utility functions in the form of ʺif-thenʺ decision rules. The study was based on eight types of secondary raw materials. The quality of the secondary raw materials, the regularity of the delivery of secondary raw materials to recycling units based on the sorting efficiency, and the loading weight of the individual baled fractions in the transport of secondary raw materials for recycling were the main parameters used in the model. The final assessment shows good waste management service in centers A and D. Centers B, C, and F were rated ʺaverageʺ. The ʺbadʺ rating was assigned to centers E and G.
Ključne besede: waste sorting, quality management, multicriteria decision analysis, expert system DEXi
Objavljeno v DKUM: 03.02.2025; Ogledov: 0; Prenosov: 4
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6. The impact of weather conditions on alpha-acid content in hop (Humulus lupulus L.) cv. AuroraDouglas MacKinnon, Viljem Pavlovič, Barbara Čeh, Boštjan Naglič, Martin Pavlovič, 2020, izvirni znanstveni članek Opis: The influence of four main weather attributes on the content of alpha-acids of the hop cv. Aurora for the period 1994-2019 was studied. By analysing correlation coefficients, specific times of the year when the weather conditions affect the alpha-acid content with the goal of creating a forecasting model in Slovenia were identified. The most significant periods of weather that impacted the alpha-acid contents throughout the growing time of year are recognised as attributes of temperatures (T), rainfall (R) and sunshine (S) calculated from the 25th to 30th week (T2530, r = -0.78, P < 0.01; R2529, r = 0.72, P < 0.01 and S2529, r = -0.81, P < 0.01) and attributes of relative humidity (RH) from the 27th to 32nd week (RH2732, r = 0.82, P < 0.01). T2530 stands for the amount of active temperatures from June 18 to July 29. Likewise, R2530 matches to the precipitation (in mm or L/m2) during the same time period.
Ključne besede: alpha-acids, α-acids, weather attributes, cv. Aurora, forecasting, hop quality, brewing process, biosynthesis, vegetative period
Objavljeno v DKUM: 28.01.2025; Ogledov: 0; Prenosov: 3
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7. Quality of life of colorectal cancer survivors : mapping the key indicators by expert consensus and measures for their assessmentUrška Smrke, Sara Abalde-Cela, Catherine Loly, Jean-Paul Calbimonte, Liliana Pires, Simon Lin, Alberto Sánchez, Sara Tement, Izidor Mlakar, 2024, izvirni znanstveni članek Ključne besede: quality of life, surveys and questionnaires, adult oncology, colorectal cancer survivors, Delphi study, scoping review, expert consensus
Objavljeno v DKUM: 15.01.2025; Ogledov: 0; Prenosov: 2
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8. Big data usage in European Countries : cluster analysis approachMirjana Pejić Bach, Tine Bertoncel, Maja Meško, Daila Suša-Vugec, Lucija Ivančić, 2020, izvirni znanstveni članek Opis: The goal of this research was to investigate the level of digital divide among selected European countries according to the big data usage among their enterprises. For that purpose, we apply the K-means clustering methodology on the Eurostat data about the big data usage in European enterprises. The results indicate that there is a significant difference between selected European countries according to the overall usage of big data in their enterprises. Moreover, the enterprises that use internal experts also used diverse big data sources. Since the usage of diverse big data sources allows enterprises to gather more relevant information about their customers and competitors, this indicates that enterprises with stronger internal big data expertise also have a better chance of building strong competitiveness based on big data utilization. Finally, the substantial differences among the industries were found according to the level of big data usage.
Ključne besede: big data, cluster analysis, digital divide, k-means, enterprise, industry, Europe, quality
Objavljeno v DKUM: 14.01.2025; Ogledov: 0; Prenosov: 3
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9. Optimizing laser cutting of stainless steel using latin hypercube sampling and neural networksKristijan Šket, David Potočnik, Lucijano Berus, Jernej Hernavs, Mirko Ficko, 2025, izvirni znanstveni članek Opis: Optimizing cutting parameters in fiber laser cutting of austenitic stainless steel is challenging due to the complex interplay of multiple variables and quality metrics. To solve this problem, Latin hypercube sampling was used to ensure a comprehensive and efficient exploration of the parameter space with a smaller number of trials (185), coupled with feedforward neural networks for predictive modeling. The networks were trained with a leave-oneout cross-validation strategy to mitigate overfitting. Different configurations of hidden layers, neurons, and training functions were used. The approach was focused on minimizing dross and roughness on both the top and bottom areas of the cut surfaces. During the testing phase, an average MSE of 0.063 and an average MAPE of 4.68% were achieved by the models. Additionally, an experimental test was performed on the best parameter settings predicted by the models. Initial modelling was conducted for each quality metric individually, resulting in an average percentage difference of 1.37% between predicted and actual results. Grid search was also per formed to determine an optimal input parameter set for all outputs, with predictions achieving an average ac curacy of 98.34%. Experimental validation confirmed the accuracy and robustness of the model predictions, demonstrating the effectiveness of the methodology in optimizing multiple parameters of complex laser cutting processes.
Ključne besede: laser cutting optimization, cut surface quality, dross formation, Latin hypercube sampling, feedforward neural network
Objavljeno v DKUM: 10.01.2025; Ogledov: 0; Prenosov: 22
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10. Dojemanje oskrbe, osredotočene na pacienta, v treh klinikah za zdravljenje neplodnosti : vpliv zdravljenja v domačem okolju ali tujini in povračila stroškovVeljko Vlaisavljević, Borut Kovačič, 2024, izvirni znanstveni članek Opis: Namen te študije je bil oceniti izkušnje bolnikov z oskrbo, osredotočeno na bolnika (PCC), na treh klinikah za zdravljenje neplodnosti glede na kritje stroškov zdravljenja in kraj, kjer so bili zdravljeni.
Ključne besede: assisted reproductive therapy, cross-border patients, patient treatment experience, patient centeredness, quality of care
Objavljeno v DKUM: 07.01.2025; Ogledov: 0; Prenosov: 21
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