Automatic documentation generation from source code
Author(s)
Che, Denise
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Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
David Karger.
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Show full item recordAbstract
Many systems lack robust documentation because writing documentation comes at a cost for developers and offers little immediate benefits. To motivate developers to write more documentation, we need a framework that beneficially incorporates documentation into the functionalities of the codebase. We explored this idea in the context of Exhibit, a data publishing framework developed at MIT CSAIL's Haystack group. Exhibit enables those without much programming experience to create data-rich interactive webpages. We created an automatic documentation system with an approach that motives the creation of rich specifications by developers, which leads to good documentation. The code required for documentation benefits developers by simplifying the codebase and providing fault tolerance through a modular error checking mechanism. This system intends to aid new and returning users of Exhibit in learning the Exhibit syntax and in creating their Exhibits by providing extensive, up-to-date documentation for all the available views and facets in Exhibit along with an interactive example component. The interactive example component provides an interface that allows users to experiment with combinations of the different settings and also aids developers during the unit testing process.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (page 46).
Date issued
2016Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer SciencePublisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.