求j.test AD 45回到70回的英语中级听力 原文原文,可以发qq邮箱。 不胜感激 不全也不要紧

求步非烟&梵花坠影&TXT格式. 不胜感激,可发QQ邮箱! QQ:_百度知道
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出门在外也不愁求inventor作品,没金币了,帮个忙吧!不胜感激!qq发我qq邮箱_百度知道
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非常感谢你的帮助,有个稍微简单的会好点,老师的要求没这么复杂,U盘,手机,闹钟之类的就可以了……
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Thesaurus-Based Tag Clouds for Test-Driven Code Search
Otavio A. L. Lemos (Federal University of S?o Paulo, Brazil)
Adriano C. de Paula (Federal University of S?o Paulo, Brazil)
Gustavo Konishi (Federal University of S?o Paulo, Brazil)
Sushil Bajracharya (Black Duck Software, Inc., USA)
Joel Ossher (University of California, USA)
Cristina Lopes (University of California, USA)
Abstract: Test-driven code search (TDCS) is an approach to
code search and reuse that uses test cases as inputs to form the
search query. Together with the test cases that provide more
semantics to the search task, keywords taken from class and method
names are still required. Therefore, the effectiveness of the
approach also relies on how good these keywords are, i.e., how
frequently they are chosen by developers to name the desired
functions. To help users choose adequate words in their query test
cases, visual aids can be used. In this paper we propose
thesaurus-based tag clouds to show developers
terms that are more frequently used in the code repository to
improve their search. Terms are generated by looking up words
similar to the initial keywords on a thesaurus. Tag clouds are then
formed based on the frequency in which these terms appear in the
code base. Our approach was implemented with an English thesaurus as
an extension to CodeGenie, a Java- and Eclipse-based TDCS tool. Our
evaluation shows evidence that the approach can help improve the
number of returned results, recall (by ~28%, on average), and
precision (by ~14%, on average). We also noticed the visual
aid can be especially useful for non-native speakers of the language
in which the code repository is written. These users are frequently
unaware of the most common terms used to name specific functionality
in the code, in the given language.
Keywords: code search, software reuse, tag clouds, test-driven code search
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