DynaDoc: Automated On-demand Context-Specific Documentation

Ahmed Tamrawi, Sharwan Ram, Payas Awadhutkar, Benjamin Holland, Ganesh Ram Santhanam, S. Kothari
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引用次数: 1

Abstract

This 2018 DOCGEN Challenge paper describes DynaDoc, an automated documentation system for on-demand context-specific documentation. A key novelty is the use of graph database technology with an eXtensible Common Software Graph Schema (XCSG). Using XCSG-based query language, DynaDoc can mine efficiently and accurately a variety of program artifacts and graph abstractions from millions of lines of code to provide semantically rich documentation. DynaDoc leverages the extensibility of XCSG to link program artifacts to supplementary information such as commits and issues.
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DynaDoc:自动按需上下文特定文档
这篇2018年DOCGEN挑战赛的论文描述了DynaDoc,一个用于按需特定上下文文档的自动化文档系统。一个关键的新颖之处是图形数据库技术与可扩展通用软件图形模式(XCSG)的结合。使用基于xcsg的查询语言,DynaDoc可以从数百万行代码中高效、准确地挖掘各种程序工件和图形抽象,从而提供语义丰富的文档。DynaDoc利用XCSG的可扩展性将程序构件与补充信息(如提交和问题)链接起来。
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Catalogen: Generating Catalogs of Code Examples Collected from OSS Automatically Redocumenting Source Code with Method and Class Stereotypes Generating an Interactive View of Dynamic Aspects of API Usage Examples DynaDoc: Automated On-demand Context-Specific Documentation Title Page i
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