2019
DOI: 10.1007/s11704-019-8231-0
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Compiler testing: a systematic literature analysis

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 co… Show more

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Cited by 29 publications
(11 citation statements)
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References 63 publications
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“…The literature reveals that several bibliometric studies have been conducted to evaluate research output in particular subject areas [15][16][17][18][19]. Some other studies are carried out to perform bibliometric analysis on particular journals [20][21][22][23][24].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The literature reveals that several bibliometric studies have been conducted to evaluate research output in particular subject areas [15][16][17][18][19]. Some other studies are carried out to perform bibliometric analysis on particular journals [20][21][22][23][24].…”
Section: Literature Reviewmentioning
confidence: 99%
“…To provide accurate keyword analysis, we extract three keywords from the abstract information by using the TextRank [49] algorithm, a graph‐based ranking model for text processing that has been effectively employed by the authors in Refs. [15]. Following Ref.…”
Section: Methodsmentioning
confidence: 99%
“…Following Ref. [15], we use the TextRank algorithm to choose at least three keywords for each primary study without keywords. This information is used to answer RQ1 and RQ2.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Compiler testing is a broad research field with a range of techniques that target, e.g., the test case generation [49,31,23] or the oracle problem [22]. Several surveys give an overview of these methods [56,26,39,25]. Our study however shows that existing approaches suffer from two weaknesses.…”
Section: Related Workmentioning
confidence: 95%