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Экстремальное программирование как гибкая методология разработки программного обеспечения

Экстремальное программирование как гибкая методология разработки программного обеспечения

Abstract

Методология разработки программного обеспечения «Экстремальное программирование» обратила на себя значительное внимание в последние годы. Важным преимуществом экстремального программирования является его гибкость в отношении простоты управления меняющимися требованиями заказчика. Мы рассматриваем практики экстремального программирования в контексте преподавания дисциплин программной инженерии в вузе, пытаемся оценить влияние практик экстремального программирования на овладение инженерными навыками для разработки программного обеспечения.

The eXtreme Programming (XP) software development methodology has received considerable attention in recent years. The adherents of XP anecdotally extol its benefits, particularly as a method that is highly responsive to changing customer's desires. We explore the practices of XP in the context of software engineering education. To do so, we must examine the practices of XP as they influence the acquisition of software engineering skills.

Keywords

ГИБКИЕ МЕТОДЫ, ЭКСТРЕМАЛЬНОЕ ПРОГРАММИРОВАНИЕ, РЕФАКТОРИНГ, МОДУЛЬНОЕ ТЕСТИРОВАНИЕ

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average