  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.
