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    Tytuł:
    Software Startups – A Research Agenda
    Autorzy:
    Unterkalmsteiner, M.
    Abrahamsson, P.
    Wang, X. F.
    Nguyen-Duc, A.
    Shah, S.
    Bajwa, S. S.
    Baltes, G. H.
    Conboy, K.
    Cullina, E.
    Dennehy, D.
    Edison, H.
    Fernandez-Sanchez, C
    Garbajosa, J.
    Gorschek, T.
    Klotins, E.
    Hokkanen, L.
    Kon, F.
    Lunesu, I.
    Marchesi, M.
    Morgan, L.
    Oivo, M.
    Selig, C.
    Seppänen, P.
    Sweetman, R.
    Tyrväinen, P.
    Ungerer, C.
    Yagüe, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/953060.pdf
    Data publikacji:
    2016
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    software startup
    research agenda
    software-intensive systems
    Opis:
    Software startup companies develop innovative, software-intensive products within limited time frames and with few resources, searching for sustainable and scalable business models. Software startups are quite distinct from traditional mature software companies, but also from micro-, small-, and medium-sized enterprises, introducing new challenges relevant for software engineering research. This paper’s research agenda focuses on software engineering in startups, identifying, in particular, 70+ research questions in the areas of supporting startup engineering activities, startup evolution models and patterns, ecosystems and innovation hubs, human aspects in software startups, applying startup concepts in non-startup environments, and methodologies and theories for startup research. We connect and motivate this research agenda with past studies in software startup research, while pointing out possible future directions. While all authors of this research agenda have their main background in Software Engineering or Computer Science, their interestin software startups broadens the perspective to the challenges, but also to the opportunities that emerge from multi-disciplinary research. Our audience is therefore primarily software engineering researchers, even though we aim at stimulating collaborations and research that crosses disciplinary boundaries. We believe that with this research agenda we cover a wide spectrum of the software startup industry current needs.
    Źródło:
    e-Informatica Software Engineering Journal; 2016, 10, 1; 89-123
    1897-7979
    Pojawia się w:
    e-Informatica Software Engineering Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Effect of shallow subsurface flow pathway networks on corn yield spatial variation under different weather and nutrient management
    Autorzy:
    Morgan, B.J.
    Daughtry, C.S.T.
    Russ, A.L.
    Dulaney, W.P.
    Gish, T.J.
    Pachepsky, Y.A.
    Powiązania:
    https://bibliotekanauki.pl/articles/2082501.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Tematy:
    subsurface flow pathways
    ground penetrating radar
    geographic weighted regression
    corn yield
    Opis:
    Ground water availability can be a major spatially variable factor of crop yields. In soils with the infiltration-restricting layer, ground water can be organized in the network of channels that conduct water laterally in wet periods and become water storage and water subsidy sources for plants in dry periods. The objective of this work was to quantify the relationships between the distances to the subsurface flow pathway network and corn yield for different weather conditions and nutrient management. Corn yield was monitored across the manured and chemically fertilized fields at the USDA-ARS OPE3 experimental site in Maryland. Data were collected during dry, normal, and above normal years in terms of the amount of precipitation from planting to physiological maturity. The subsurface flow pathway network was delineated using ArcGIS from data on topography of the infiltration-restricting layer found mostly at depths between one and three meters. The geographically weighted regression was used. Adjusted determination coefficients of regressions ranged from 0.485 to 0.655. Decrease of the adjusted determination coefficients from a dry to normal year and an increase from the normal to wet year was found. Factoring the subsurface flow pathway network influence into crop management can be an important component of precision farming strategies.
    Źródło:
    International Agrophysics; 2019, 33, 2; 271-276
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-2 z 2

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