The relevance of software documentation, tools and technologies: a survey

By Andrew Forward, Timothy C. Lethbridge. ACM Symposium on Document Engineering, 2002

310 citations recorded by the source corpus.

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A Neural Model for Generating Natural Language Summaries of Program Subroutines (2019, background): “Forward et al. pointed out in 2002 that “software professionals value technologies that improve automation of the documentation process,” and “that documentation tools should seek to better extract knowledge from core resources”, such as source code [7].”
Improved Code Summarization via a Graph Neural Network (2020, background): “Programmers are notorious for neglecting the manual eort of writing summaries themselves [12, 26, 45, 48], and automation has long been cited as a desirable alternative [17].”
“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI (2021, result): “Although the behaviour of AI systems is critically determined by data, even more so than code [111]; many of our practitioner strategies mirrored best practices in software engineering [38, 83].”
Reducing the Barrier to Entry of Complex Robotic Software: a MoveIt! Case Study (2014, background): “Documentation is arguably the most important factor in reducing the barrier to entry of new software [35].”