点击次数：

论文类型：期刊论文

发表时间：2020-02-01

发表刊物：FRONTIERS OF COMPUTER SCIENCE

收录刊物：EI、SCIE

卷号：14

期号：1

页面范围：1-20

ISSN号：2095-2228

关键字：software engineering; compiler-theory and techniques; literature analysis; collaboration network; bibliometric analysis

摘要：Compilers are widely-used infrastructures in accelerating the software development, and expected to be trustworthy. In the literature, various testing technologies have been proposed to guarantee the quality of compilers. However, there remains an obstacle to comprehensively characterize and understand compiler testing. To overcome this obstacle, we propose a literature analysis framework to gain insights into the compiler testing area. First, we perform an extensive search to construct a dataset related to compiler testing papers. Then, we conduct a bibliometric analysis to analyze the productive authors, the influential papers, and the frequently tested compilers based on our dataset. Finally, we utilize association rules and collaboration networks to mine the authorships and the communities of interests among researchers and keywords. Some valuable results are reported. We find that the USA is the leading country that contains the most influential researchers and institutions. The most active keyword is "random testing". We also find that most researchers have broad interests within small-scale collaborators in the compiler testing area.