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    Wyświetlanie 1-6 z 6
    Tytuł:
    Games and ADHD-ADD: A Systematic Mapping Study
    Autorzy:
    Contreras-Espinosa, Ruth S.
    Serra, Angel
    Terrón, Jose Luis
    Powiązania:
    https://bibliotekanauki.pl/articles/485131.pdf
    Data publikacji:
    2019
    Wydawca:
    Univerzita sv. Cyrila a Metoda. Fakulta masmediálnej komunikácie
    Tematy:
    adolescents
    attention deficit disorder
    attention deficit hyperactivity disorder digital games
    children
    literature review
    systematic mapping study
    Opis:
    Attention Deficit Hyperactivity Disorder (ADHD) is a neuro-developmental disorder that starts in childhood and has a persistent pattern of behaviour involving lack of attention and/or hyperactivity-impulsiveness that interferes in social, academic or work processes, or reduces the quality of them. Through activities with games, children and adolescents improve memory, concentration, motor planning and time management skills. According to some studies these may present positive effects for the attention span, executive functions, working memory and other cognitive skills. However, there are few studies that explain their effects. This paper presents a systematic mapping study and underlines the direction taken by the empirical studies undertaken on the use of digital games in treating ADHD and ADD. A total of 12 articles, covering 2005 to 2015, were selected. The research questions behind the study were: RQ1 What particular characteristics have been investigated by researchers?; RQ2 What research methods have been used?; and RQ3 On which game has the study on ADD-ADHD been focused?. There are studies are focused on the risk of addiction, increased attention deficit or behaviour problems and studies evaluating the improvement in executive functions, reduction in hyperactivity and motivation. The research methods used were experimental and exploratory methods. Finally, the digital games are analyzed without distinguishing between the genres and theme of the game.
    Źródło:
    Acta Ludologica; 2019, 2, 2; 4-26
    2585-8599
    Pojawia się w:
    Acta Ludologica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Empirical Studies on Software Product Maintainability Prediction: A Systematic Mapping and Review
    Autorzy:
    Elmidaoui, Sara
    Cheikhi, Laila
    Idri, Ali
    Abran, Alain
    Powiązania:
    https://bibliotekanauki.pl/articles/384171.pdf
    Data publikacji:
    2019
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    systematic mapping study
    systematic literature review
    software product maintainability
    empirical studies
    Opis:
    Background: Software product maintainability prediction (SPMP) is an important task to control software maintenance activity, and many SPMP techniques for improving software maintainability have been proposed. In this study, we performed a systematic mapping and review on SPMP studies to analyze and summarize the empirical evidence on the prediction accuracy of SPMP techniques in current research. Objective: The objective of this study is twofold: (1) to classify SPMP studies reported in the literature using the following criteria: publication year, publication source, research type, empirical approach, software application type, datasets, independent variables used as predictors, dependent variables (e.g. how maintainability is expressed in terms of the variable to be predicted), tools used to gather the predictors, the successful predictors and SPMP techniques, (2) to analyze these studies from three perspectives: prediction accuracy, techniques reported to be superior in comparative studies and accuracy comparison of these techniques. Methodology: We performed a systematic mapping and review of the SPMP empirical studies published from 2000 up to 2018 based on an automated search of nine electronic databases. Results: We identified 82 primary studies and classified them according to the above criteria. The mapping study revealed that most studies were solution proposals using a history-based empirical evaluation approach, the datasets most used were historical using object-oriented software applications, maintainability in terms of the independent variable to be predicted was most frequently expressed in terms of the number of changes made to the source code, maintainability predictors most used were those provided by Chidamber and Kemerer (C&K), Li and Henry (L&H) and source code size measures, while the most used techniques were ML techniques, in particular artificial neural networks. Detailed analysis revealed that fuzzy & neuro fuzzy (FNF), artificial neural network (ANN) showed good prediction for the change topic, while multilayer perceptron (MLP), support vector machine (SVM), and group method of data handling (GMDH) techniques presented greater accuracy prediction in comparative studies. Based on our findings SPMP is still limited. Developing more accurate techniques may facilitate their use in industry and well-formed, generalizable results be obtained. We also provide guidelines for improving the maintainability of software.
    Źródło:
    e-Informatica Software Engineering Journal; 2019, 13, 1; 141-202
    1897-7979
    Pojawia się w:
    e-Informatica Software Engineering Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Empirical AI Transformation Research: A Systematic Mapping Study and Future Agenda
    Autorzy:
    Peretz-Andersson, Einav
    Torkar, Richard
    Powiązania:
    https://bibliotekanauki.pl/articles/2079604.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    AI transformation
    digital transformation
    organizational change
    systematic mapping study
    Opis:
    Background: Intelligent software is a significant societal change agent. Recent research indicates that organizations must change to reap the full benefits of AI. We refer to this change as AI transformation (AIT). The key challenge is to determine how to change and which are the consequences of increased AI use. Aim: The aim of this study is to aggregate the body of knowledge on AIT research. Method: We perform an systematic mapping study (SMS) and follow Kitchenham’s procedure. We identify 52 studies from Scopus, IEEE, and Science Direct (2010–2020). We use the Mixed-Methods Appraisal Tool (MMAT) to critically assess empirical work. Results Work on AIT is mainly qualitative and originates from various disciplines. We are unable to identify any useful definition of AIT. To our knowledge, this is the first SMS that focuses on empirical AIT research. Only a few empirical studies were found in the sample we identified. Conclusions We define AIT and propose a research agenda. Despite the popularity and attention related to AI and its effects on organizations, our study reveals that a significant amount of publications on the topic lack proper methodology or empirical data.
    Źródło:
    e-Informatica Software Engineering Journal; 2022, 16, 1; art. no. 220108
    1897-7979
    Pojawia się w:
    e-Informatica Software Engineering Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Systematic Mapping Study on Software Measurement Programs in SMEs
    Autorzy:
    Tahir, T.
    Rasool, G.
    Noman, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/384081.pdf
    Data publikacji:
    2018
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    software measurement process
    software measurement program
    small enterprise (SME)
    medium enterprise (SME)
    software metrics
    software measures
    systematic mapping study
    GQM
    Opis:
    Context: Software measurement programs are essential to understand, evaluate, improve and predict the software processes, products and resources. However, successful implementation of software measurement programs (MPs) in small and medium enterprises (SMEs) is challenging. Objective: To perform a detailed analysis of studies on MPs for highlighting the existing measurement models, tools, metrics selection methods and challenges for implementing MPs in SMEs. Methods: A Systematic Mapping Study (SMS) is conducted. Results: In total, 35 primary studies are comprehensively analyzed. We identified 29 software measurement models and 4 tools specifically designed for MPs in SMEs. Majority of the measurement models (51%) are built upon software process improvement approaches. With respect to measurement purposes of models, the distribution of MPs was identified as: characterization (63%), evaluation (83%), improvement (93%) and prediction (16%). Majority of primary studies discussed the use of measurement experts and experience (60%) followed by the use of measurement standards (40% and the use of automated tools (22%) for metrics selection in MPs. We found that the SMEs and large organization face different challenges as studies in SMEs report challenges that exist even before the implementation of MPs due to infrastructure and management processes of SMEs. The challenges reported by studies in large organizations are mostly related to the issues discovered while implementing MPs. Conclusion: The analysis of measurement models, tools, metrics selection methods and challenges of implementing MPs should help the SMEs to make a feasibility study before implementing a MP.
    Źródło:
    e-Informatica Software Engineering Journal; 2018, 12, 1; 133-165
    1897-7979
    Pojawia się w:
    e-Informatica Software Engineering Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    How good are my search strings? Reflections on using an existing review as a quasi-gold standard
    Autorzy:
    Tran, Huynh Khanh Vi
    Börstler, Jürgen
    Ali, Nauman bin
    Unterkalmsteiner, Michael
    Powiązania:
    https://bibliotekanauki.pl/articles/2060914.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    search string construction
    automated search validation
    quasi-gold standard
    systematic literature review
    systematic mapping study
    Opis:
    Background: Systematic literature studies (SLS) have become a core research methodology in Evidence-based Software Engineering (EBSE). Search completeness, i.e., finding all relevant papers on the topic of interest, has been recognized as one of the most commonly discussed validity issues of SLSs. Aim: This study aims at raising awareness on the issues related to search string construction and on search validation using a quasi-gold standard (QGS). Furthermore, we aim at providing guidelines for search string validation. Method: We use a recently completed tertiary study as a case and complement our findings with the observations from other researchers studying and advancing EBSE. Results: We found that the issue of assessing QGS quality has not seen much attention in the literature, and the validation of automated searches in SLSs could be improved. Hence, we propose to extend the current search validation approach by the additional analysis step of the automated search validation results and provide recommendations for the QGS construction. Conclusion: In this paper, we report on new issues which could affect search completeness in SLSs. Furthermore, the proposed guideline and recommendations could help researchers implement a more reliable search strategy in their SLSs.
    Źródło:
    e-Informatica Software Engineering Journal; 2022, 16, 1; art. no. 220103
    1897-7979
    Pojawia się w:
    e-Informatica Software Engineering Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Model Driven Web Engineering: A Systematic Mapping Study
    Autorzy:
    Wakil, K
    Jawawi, D N A
    Powiązania:
    https://bibliotekanauki.pl/articles/384061.pdf
    Data publikacji:
    2015
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    model driven web engineering
    MDWE
    web engineering
    systematic mapping study
    Opis:
    Background: Model Driven Web Engineering (MDWE) is the application of the model driven paradigm to the domain of web software development, where it is particularly helpful because of the continuous evolution of Web technologies and platforms. Objective: In this paper, we prepare a survey of primary studies on MDWE to explore current work and identify needs for future research. Method: Systematic mapping study uses for finding the most relevant studies and classification. In this study, we found 289 papers and a classification scheme divided them depending on their research focus, contribution type and research type. Results: The papers of solution proposal (20%) research type are majority. The most focused areas of MDWE appear to be: Web Applicability (31%), Molding and Notation (19%), and Services and Oriented (18%). The majority of contributions are methods (33%). Moreover, this shows MDWE as a wide, new, and active area to publications. Conclusions: Whilst additional analysis is warranted within the MDWE scope, in literature, composition mechanisms have been thoroughly discoursed. Furthermore, we have witnessed that the recurrent recommendation for Validation Research, Solution Proposal and Philosophical Papers has been done through earlier analysis.
    Źródło:
    e-Informatica Software Engineering Journal; 2015, 9, 1; 107-142
    1897-7979
    Pojawia się w:
    e-Informatica Software Engineering Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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