Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "mining software" wg kryterium: Temat

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-7 z 7
    Tytuł:
    Mining software repository for improvement of IT project management process
    Autorzy:
    Guziur, J.
    Poniszewska-Marańda, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/94761.pdf
    Data publikacji:
    2017
    Wydawca:
    Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
    Tematy:
    software mining
    software analytics
    MSR tools
    Opis:
    With the growing number of IT projects and their complexity their deeper analysis became necessary. For this purpose, the historical data on previously completed projects began to collect – it has enabled projects undergo a detailed analysis, which allowed the efficient implementation of projects and allowed in advance to detect the potential problems. Thus a new area of research, Mining Software Repository (MSR), was born. Research in the field of MSR brings very promising results. The increasing importance of research for gaining the tools to support the process of collecting and analyzing the data related to software development is observed. The data from version control systems, bug tracking systems and issue tracking systems is the most popular. This paper presents the existing MSR tools carries out its analysis and describes the weaknesses of each individual solutions.
    Źródło:
    Information Systems in Management; 2017, 6, 3; 169-180
    2084-5537
    2544-1728
    Pojawia się w:
    Information Systems in Management
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    NRFixer: Sentiment Based Model for Predicting the Fixability of Non-Reproducible Bugs
    Autorzy:
    Goyal, A.
    Sardana, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/384057.pdf
    Data publikacji:
    2017
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    bug report
    bug triaging
    non-reproducible bugs
    sentiment analysis
    mining software repositories
    Opis:
    Software maintenance is an essential step in software development life cycle. Nowadays, software companies spend approximately 45% of total cost in maintenance activities. Large software projects maintain bug repositories to collect, organize and resolve bug reports. Sometimes it is difficult to reproduce the reported bug with the information present in a bug report and thus this bug is marked with resolution non-reproducible (NR). When NR bugs are reconsidered, a few of them might get fixed (NR-to-fix) leaving the others with the same resolution (NR). To analyse the behaviour of developers towards NR-to-fix and NR bugs, the sentiment analysis of NR bug report textual contents has been conducted. The sentiment analysis of bug reports shows that NR bugs’ sentiments incline towards more negativity than reproducible bugs. Also, there is a noticeable opinion drift found in the sentiments of NR-to-fix bug reports. Observations driven from this analysis were an inspiration to develop a model that can judge the fixability of NR bugs. Thus a framework, NRFixer, which predicts the probability of NR bug fixation, is proposed. NRFixer was evaluated with two dimensions. The first dimension considers meta-fields of bug reports (model-1) and the other dimension additionally incorporates the sentiments (model-2) of developers for prediction. Both models were compared using various machine learning classifiers (Zero-R, naive Bayes, J48, random tree and random forest). The bug reports of Firefox and Eclipse projects were used to test NRFixer. In Firefox and Eclipse projects, J48 and Naive Bayes classifiers achieve the best prediction accuracy, respectively. It was observed that the inclusion of sentiments in the prediction model shows a rise in the prediction accuracy ranging from 2 to 5% for various classifiers.
    Źródło:
    e-Informatica Software Engineering Journal; 2017, 11, 1; 103-116
    1897-7979
    Pojawia się w:
    e-Informatica Software Engineering Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Operations research in open-pit mining
    Badania operacyjne w górnictwie odkrywkowym
    Autorzy:
    Maksymowicz, Marcin
    Powiązania:
    https://bibliotekanauki.pl/articles/2030555.pdf
    Data publikacji:
    2020
    Wydawca:
    Poltegor-Instytut Instytut Górnictwa Odkrywkowego
    Tematy:
    decision-making processes
    operations research
    open-pit mining
    optimization
    modeling
    simulations
    long-term planning
    short-term planning
    losed-loop management
    equipment allocation
    mining software
    proces podejmowania decyzji
    badania operacyjne
    górnictwo odkrywkowe
    optymalizacja
    modelowanie
    symulacje
    planowanie długoterminowe
    planowanie krótkoterminowe
    zamknięta pętla w zarządzaniu
    alokacja maszyn i urządzeń
    oprogramowanie dla górnictwa
    Opis:
    In striving to maximize profits, maximize safety and to meet environmental requirements, management decisions being made in surface mining industry should always be optimal. Operations research, as a discipline supporting the decision-making processes helps to achieve this. In this paper, basic issues related to operations research in open-pit mining are explained. Significance of the operations research is emphasized, presenting the wide range of its applications in open-pit mining industry.
    Dążąc do maksymalizacji zysków, maksymalizacji bezpieczeństwa oraz spełnienia wymagań środowiskowych, decyzje zarządcze podejmowane w górnictwie odkrywkowym powinny być zawsze optymalne. Badania operacyjne - jako dyscyplina wspierająca procesy decyzyjne, pomagają to osiągać. W artykule wyjaśniono podstawowe zagadnienia dotyczące badań operacyjnych w branży górnictwa odkrywkowego oraz podkreślono ich znaczenie, przedstawiając szeroki wachlarz zastosowań.
    Źródło:
    Górnictwo Odkrywkowe; 2020, 61, 3; 31--38
    0043-2075
    Pojawia się w:
    Górnictwo Odkrywkowe
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Enhancing business process event logs with software failure data
    Autorzy:
    Gruszczyński, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/411307.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Oddział w Lublinie PAN
    Tematy:
    business process modeling
    exceptional process paths
    software reliability
    failure classification
    process mining
    Opis:
    Process mining techniques allow for the analysis of the real process flow. This flow might be disturbed for many reasons, including software failures. It is also possible for failure occurrence to be the consequence of the faulty process execution. A method for measuring the harmfulness of the software failure regarding business processes executed by the user would be a valuable asset for quality and reliability improvement. In this paper, we take the first step towards developing this method by providing a tool for enhancing XES event logs with failure data. We begin with an introduction to this topic and background analysis in the field of failure classification and process mining techniques supporting failure analysis. Then we present our method for merging operational and failure data. By carrying out a case study based on real data, we evaluate our tool and present the aim of our future work.
    Źródło:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2019, 8, 1; 27-32
    2084-5715
    Pojawia się w:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Modelling of processes with use of process mining techniques
    Autorzy:
    Brzychczy, E.
    Napieraj, A.
    Sukiennik, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/322982.pdf
    Data publikacji:
    2018
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    process mining
    Petri net
    process model
    ProM software
    process discovery
    eksploracja procesów
    sieć Petriego
    model procesu
    oprogramowanie ProM
    Opis:
    The main purpose of the paper is presentation of new opportunities for process modelling. In the literature review section, Petri nets as one of the formal modelling notation of processes is highlighted and introduction of relatively young research discipline – process mining – is presented. One of the process mining tasks is process model discovery from event logs gathered in informatics systems in enterprise. In the article practical example of process model discovery with ProM software is given with use of real event log from Volvo IT Belgium. In conclusions further opportunities of process mining techniques in process management are emphasized.
    Źródło:
    Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2018, 116; 23-36
    1641-3466
    Pojawia się w:
    Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Governance in Peer Production Communities: the Case of Debian Project Leader Elections
    Autorzy:
    Rogiński, Mikołaj
    Powiązania:
    https://bibliotekanauki.pl/articles/22858339.pdf
    Data publikacji:
    2023-06-28
    Wydawca:
    Polskie Towarzystwo Socjologiczne
    Tematy:
    text mining
    virtual community
    quantitative approach
    management practices
    FLOSS (free/libre and open source software)
    commons-based peer production
    Opis:
    The purpose of this article is to explore the Debian Project, which is a peer production organization, and to answer the main research question of what topics were discussed in Project Leader candidates’ program statements. One of the organizational solutions, voting for the Project Leader, was subjected to detailed analysis. According to the usual practice, candidates for the leadership position each publish a program declaration. The study collected all such declarations from 1999–2020 and analyzed them using quantitative text analysis methods. As a result, it was possible to define the most important topics appearing in the declarations, and to track changes in their proportions over time. It was found that management has always been an important topic for candidates. In turn, analysis using Structural Topic Modeling showed at a detailed level which sub-topics related to management were discussed, and how their share changed over time.
    Źródło:
    Polish Sociological Review; 2023, 222, 2; 263-282
    1231-1413
    2657-4276
    Pojawia się w:
    Polish Sociological Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Data mining system for air quality monitoring networks
    Autorzy:
    Czechowski, P.
    Badyda, A.
    Majewski, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/204820.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    air pollutants
    data quality analysis
    data mining
    estimation
    exploratory methods
    harmonic
    principal component analysis
    statistical tests outliers
    influential
    leverage observations
    analytical software system
    programming
    Eco Data Miner
    EDM
    Winsorized mean
    Cook
    Mahalanobis distance
    DFITS
    COVRATIO
    Opis:
    The use of quantitative methods, including stochastic and exploratory techniques in environmental studies does not seem to be sufficient in practical aspects. There is no comprehensive analytical system dedicated to this issue, as well as research regarding this subject. The aim of this study is to present the Eco Data Miner system, its idea, construction and implementation possibility to the existing environmental information systems. The methodological emphasis was placed on the one-dimensional data quality assessment issue in terms of using the proposed QAAH1 method - using harmonic model and robust estimators beside the classical tests of outlier values with their iterative expansions. The results received demonstrate both the complementarity of proposed classical methods solution as well as the fact that they allow for extending the range of applications significantly. The practical usefulness is also highly significant due to the high effectiveness and numerical efficiency as well as simplicity of using this new tool.
    Źródło:
    Archives of Environmental Protection; 2013, 39, 4; 123-147
    2083-4772
    2083-4810
    Pojawia się w:
    Archives of Environmental Protection
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies