Visually Summarising Software Change

Arbuckle, Tom

doi:10.1109/iv.2008.58

Cited by 8 publications

(1 citation statement)

References 41 publications

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“…Arbuckle et al (2007) are the first to apply normalized compression distance in software engineering field. In his series publications, Arbuckle demonstrated how normalized compression distance can be used to visualize software changes and understand software evolutions (Arbuckle, 2008;Arbuckle, 2009;Arbuckle, 2011). Threm et al (2015) redefined normalized compression distance and used it to study the evolutionary stability of software systems.…”

Section: Ncd X Y C Xymentioning

confidence: 99%

Using Kolmogorov Complexity to Study the Coevolution of Header Files and Source Files of C-alike Programs

2017

International Journal of Knowledge and Systems Science

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In C-alike programs, the source code is separated into header files and source files. During the software evolution process, both these two kinds of files need to adapt to changing requirement and changing environment. This paper studies the coevolution of header files and source files of C-alike programs. Using normalized compression distance that is derived from Kolmogorov complexity, we measure the header file difference and source file difference between versions of an evolving software product. Header files distance and source files distance are compared to understand their difference in pace of evolution. Mantel tests are performed to investigate the correlation of header file evolution and source file evolution. The study is performed on the source code of Apache HTTP web server.

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