English

Compiler Testing: A Systematic Literature Analysis

Software Engineering 2018-11-01 v2

Abstract

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.

Keywords

Cite

@article{arxiv.1810.02718,
  title  = {Compiler Testing: A Systematic Literature Analysis},
  author = {Yixuan Tang and Zhilei Ren and Weiqiang Kong and He Jiang},
  journal= {arXiv preprint arXiv:1810.02718},
  year   = {2018}
}

Comments

20 pages, 15 figures

R2 v1 2026-06-23T04:29:47.286Z