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Wyszukujesz frazę "Madeyski, Lech" wg kryterium: Wszystkie pola

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    Wyświetlanie 1-4 z 4
    Tytuł:
    Factors influencing user story estimations: an industrial interview and a conceptual model
    Autorzy:
    MAJCHRZAK,, Marek
    MADEYSKI, Lech
    Powiązania:
    https://bibliotekanauki.pl/articles/529802.pdf
    Data publikacji:
    2016-12-31
    Wydawca:
    Wyższa Szkoła Bankowa we Wrocławiu
    Tematy:
    estimation
    user story
    agile
    defect prediction
    Scrum
    Opis:
    A proper estimation of time in user stories is a crucial task for both the IT team as well as for the customer, especially in agile projects. Although agile practices offer a lot of flexibility and promote a culture of continuous change, there are always clearly de need timeboxed periods where an IT company has to commit to delivering working soft-ware. Estimating time of user story implementation provides clarity and the opportunity to control the project by the management, yet at the same time, it can increase pressure on software developers. Thus, incorrectly estimated user stories may lead to quality problems including system malfunction, technical debt, and general user experience issues. The paper describes user story characteristics, reasons of user story estimation inaccuracy as well as a model of their potential impact on post-release defects in large IT software ventures, all derived from the conducted interview with practitioners in Capgemini software development company.
    Źródło:
    Central and Eastern European Journal of Management and Economics (CEEJME); 2016, 4; 261-280
    2353-9119
    Pojawia się w:
    Central and Eastern European Journal of Management and Economics (CEEJME)
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Technical Debt Aware Estimations in Software Engineering: a Systematic Mapping Study
    Autorzy:
    Klimczyk, Paweł
    Madeyski, Lech
    Powiązania:
    https://bibliotekanauki.pl/articles/384112.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    software estimation
    technical debt
    project management
    decision making
    change impact
    Opis:
    Context: The Technical Debt metaphor has grown in popularity. More software is being created and has to be maintained. Agile methodologies, in particular Scrum, are widely used by development teams around the world. Estimation is an often practised step in sprint planning. The subject matter of this paper is the impact technical debt has on estimations. Objective: The goal of this research is to identify estimation problems and their solutions due to previously introduced technical debt in software projects. Method: The Systematic mapping study (SMS) method was applied in the research. Papers were selected from the popular digital databases (IEEE, ACM, Scopus, etc.) using defined search criteria. Afterwards, a snowballing procedure was performed and the final publication set was filtered using inclusion/exclusion criteria. Results: 42 studies were selected and evaluated. Five categories of problems and seven proposed solutions to the problems have been extracted from the papers. Problems include items related to business perspective (delivery pressure or lack of technical debt understanding by business decision-makers) and technical perspective (difficulties in forecasting architectural technical debt impact or limits of source code analysis). Solutions were categorized in: more sophisticated decision-making tools for business managers, better tools for estimation support and technical debt management tools on an architectural-level, portfolio approach to technical debt, code audit and technical debt reduction routine conducted every sprint. Conclusion: The results of this mapping study can help taking the appropriate approach in technical debt mitigation in organizations. However, the outcome of the conducted research shows that the problem of measuring technical debt impact on estimations has not yet been solved. We propose several directions for further investigation. In particular, we would focus on more sophisticated decision-making tools.
    Źródło:
    e-Informatica Software Engineering Journal; 2020, 14, 1; 61-76
    1897-7979
    Pojawia się w:
    e-Informatica Software Engineering Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    OECD Recommendation’s draft concerning access to research data from public funding: a review
    Autorzy:
    Madeyski, Lech
    Lewowski, Tomasz
    Kitchenham, Barbara
    Powiązania:
    https://bibliotekanauki.pl/articles/2173542.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    open data
    open access
    empirical research
    data-driven research
    data science
    otwarte dane
    otwarty dostęp
    badanie empiryczne
    badania oparte na danych
    nauka o danych
    Opis:
    Sharing research data from public funding is an important topic, especially now, during times of global emergencies like the COVID-19 pandemic, when we need policies that enable rapid sharing of research data. Our aim is to discuss and review the revised Draft of the OECD Recommendation Concerning Access to Research Data from Public Funding. The Recommendation is based on ethical scientific practice, but in order to be able to apply it in real settings, we suggest several enhancements to make it more actionable. In particular, constant maintenance of provided software stipulated by the Recommendation is virtually impossible even for commercial software. Other major concerns are insufficient clarity regarding how to finance data repositories in joint private-public investments, inconsistencies between data security and user-friendliness of access, little focus on the reproducibility of submitted data, risks related to the mining of large data sets, and sensitive (particularly personal) data protection. In addition, we identify several risks and threats that need to be considered when designing and developing data platforms to implement the Recommendation (e.g., not only the descriptions of the data formats but also the data collection methods should be available). Furthermore, the non-even level of readiness of some countries for the practical implementation of the proposed Recommendation poses a risk of its delayed or incomplete implementation.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 1; art. no. e135401
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    OECD Recommendation’s draft concerning access to research data from public funding: a review
    Autorzy:
    Madeyski, Lech
    Lewowski, Tomasz
    Kitchenham, Barbara
    Powiązania:
    https://bibliotekanauki.pl/articles/2090696.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    open data
    open access
    empirical research
    data-driven research
    data science
    otwarte dane
    otwarty dostęp
    badanie empiryczne
    badania oparte na danych
    nauka o danych
    Opis:
    Sharing research data from public funding is an important topic, especially now, during times of global emergencies like the COVID-19 pandemic, when we need policies that enable rapid sharing of research data. Our aim is to discuss and review the revised Draft of the OECD Recommendation Concerning Access to Research Data from Public Funding. The Recommendation is based on ethical scientific practice, but in order to be able to apply it in real settings, we suggest several enhancements to make it more actionable. In particular, constant maintenance of provided software stipulated by the Recommendation is virtually impossible even for commercial software. Other major concerns are insufficient clarity regarding how to finance data repositories in joint private-public investments, inconsistencies between data security and user-friendliness of access, little focus on the reproducibility of submitted data, risks related to the mining of large data sets, and sensitive (particularly personal) data protection. In addition, we identify several risks and threats that need to be considered when designing and developing data platforms to implement the Recommendation (e.g., not only the descriptions of the data formats but also the data collection methods should be available). Furthermore, the non-even level of readiness of some countries for the practical implementation of the proposed Recommendation poses a risk of its delayed or incomplete implementation.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 1; e135401, 1--5
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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