期刊论文详细信息
Data Science | |
Reducing the effort for systematic reviews in software engineering | |
article | |
Francesco Osborne1  Henry Muccini2  Patricia Lago3  Enrico Motta1  | |
[1] Knowledge Media Institute, The Open University;DISIM Department, University of L’Aquila;Department of Computer Science, Vrije Universiteit Amsterdam | |
关键词: Systematic reviews; software engineering; ontology learning; semantic web; software architecture; digital libraries; | |
DOI : 10.3233/DS-190019 | |
来源: IOS Press | |
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【 摘 要 】
Context:Systematic Reviews (SRs) are means for collecting and synthesizing evidence from the identification and analysis of relevant studies from multiple sources. To this aim, they use a well-defined methodology meant to mitigate the risks of biases and ensure repeatability for later updates. SRs, however, involve significant effort.
【 授权许可】
Unknown
【 预 览 】
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RO202307140005132ZK.pdf | 912KB | ![]() |