Trend Analysis on the Metadata of Program Comprehension Papers
Mat\'u\v{s} Sul\'ir, Jaroslav Porub\"an
TL;DR
This paper analyzes publication trends in program comprehension research from 2000 to 2014 using n-gram frequency analysis, identifying rising and falling research topics over time.
Contribution
It provides a comprehensive trend analysis of program comprehension papers, highlighting shifts in research focus over 15 years.
Findings
Feature location and open source systems are rising trends.
Program slicing and legacy systems are declining in research focus.
Analysis covers 1885 articles from 2000-2014.
Abstract
As program comprehension is a vast research area, it is necessary to get an overview of its rising and falling trends. We performed an n-gram frequency analysis on titles, abstracts and keywords of 1885 articles about program comprehension from the years 2000-2014. According to this analysis, the most rising trends are feature location and open source systems, the most falling ones are program slicing and legacy systems.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.