Towards Crowd-Sourced API Documentation

被引：0

作者：

Uddin, Gias ^{[1
]}

Khomh, Foutse ^{[1
]}

Roy, Chanchal K. ^{[2
]}

机构：

[1] Polytech Montreal, SWAT Lab, Montreal, PQ, Canada

[2] Univ Saskatchewan, Dept Comp Sci, Saskatoon, SK, Canada

来源：

2019 IEEE/ACM 41ST INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: COMPANION PROCEEDINGS (ICSE-COMPANION 2019) | 2019年

关键词：

API; Mining; Usage; Documentation;

D O I：

10.1109/ICSE-Companion.2019.00129

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The learnability of an API suffers when the official documentation of the API is incomplete. Developers discuss usage scenarios of APIs in the online developer forums. As such, by automatically mining such crowd-sourced documentation of APIs, we can address the shortcomings of API official documentation. We present a framework to automatically mine usage scenarios about APIs from online developer forums. Each usage scenario of an API consists of a code example, a summary description, and the reactions (i.e., positive and negative opinions) of other developers towards the code example. We evaluate our API usage mining framework by producing a benchmark dataset. We observed a precision of 0.947 and a recall of 1.0 with the linking of a code example to an API mention in the forum.

引用

页码：310 / 311

页数：2

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