What should I document? A preliminary systematic mapping study into API documentation knowledge
July 30, 2019 Β· Declared Dead Β· π International Symposium on Empirical Software Engineering and Measurement
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Authors
Alex Cummaudo, Rajesh Vasa, John Grundy
arXiv ID
1907.13260
Category
cs.SE: Software Engineering
Citations
8
Venue
International Symposium on Empirical Software Engineering and Measurement
Last Checked
4 months ago
Abstract
Background: Good API documentation facilities the development process, improving productivity and quality. While the topic of API documentation quality has been of interest for the last two decades, there have been few studies to map the specific constructs needed to create a good document. In effect, we still need a structured taxonomy against which to capture knowledge. Aims: This study reports emerging results of a systematic mapping study. We capture key conclusions from previous studies that assess API documentation quality, and synthesise the results into a single framework. Method: By conducting a systematic review of 21 key works, we have developed a five dimensional taxonomy based on 34 categorised weighted recommendations. Results: All studies utilise field study techniques to arrive at their recommendations, with seven studies employing some form of interview and questionnaire, and four conducting documentation analysis. The taxonomy we synthesise reinforces that usage description details (code snippets, tutorials, and reference documents) are generally highly weighted as helpful in API documentation, in addition to design rationale and presentation. Conclusions: We propose extensions to this study aligned to developer's utility for each of the taxonomy's categories.
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