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A Dataset of Simplified Syntax Trees for C#

Proksch, Sebastian and Amann, Sven and Nadi, Sarah and Mezini, Mira (2016):
A Dataset of Simplified Syntax Trees for C#.
In: Proceedings of the 13th International Conference on Mining Software Repositories, In: 13th International Conference on Mining Software Repositories, Austin, Texas, USA, May 14–15, 2016, In: MSR'16, [Online-Edition: http://doi.acm.org/10.1145/2901739.2903507],
[Conference or Workshop Item]

Abstract

In this paper, we present a curated collection of 2833 C# solutions taken from Github. We encode the data in a new intermediate representation (IR) that facilitates further analysis by restricting the complexity of the syntax tree and by avoiding implicit information. The dataset is intended as a standardized input for research on recommendation systems for software engineering, but is also useful in many other areas that analyze source code.

Item Type: Conference or Workshop Item
Erschienen: 2016
Creators: Proksch, Sebastian and Amann, Sven and Nadi, Sarah and Mezini, Mira
Title: A Dataset of Simplified Syntax Trees for C#
Language: English
Abstract:

In this paper, we present a curated collection of 2833 C# solutions taken from Github. We encode the data in a new intermediate representation (IR) that facilitates further analysis by restricting the complexity of the syntax tree and by avoiding implicit information. The dataset is intended as a standardized input for research on recommendation systems for software engineering, but is also useful in many other areas that analyze source code.

Title of Book: Proceedings of the 13th International Conference on Mining Software Repositories
Series Name: MSR'16
Divisions: 20 Department of Computer Science > Software Technology
20 Department of Computer Science
Event Title: 13th International Conference on Mining Software Repositories
Event Location: Austin, Texas, USA
Event Dates: May 14–15, 2016
Date Deposited: 20 Apr 2016 07:15
Official URL: http://doi.acm.org/10.1145/2901739.2903507
Identification Number: doi:10.1145/2901739.2903507
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