Proksch, Sebastian ; Amann, Sven ; Nadi, Sarah ; Mezini, Mira
:
A Dataset of Simplified Syntax Trees for C#.
[Online-Edition: http://doi.acm.org/10.1145/2901739.2903507]
In: 13th International Conference on Mining Software Repositories, May 14–15, 2016, Austin, Texas, USA.
In: MSR'16
.
[Konferenz- oder Workshop-Beitrag], (2016)
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenz- oder Workshop-Beitrag (Keine Angabe) |
|---|---|
| Erschienen: | 2016 |
| Autor(en): | Proksch, Sebastian ; Amann, Sven ; Nadi, Sarah ; Mezini, Mira |
| Titel: | A Dataset of Simplified Syntax Trees for C# |
| Sprache: | Englisch |
| Kurzbeschreibung (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. |
| Buchtitel: | Proceedings of the 13th International Conference on Mining Software Repositories |
| Reihe: | MSR'16 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik > Softwaretechnik 20 Fachbereich Informatik |
| Veranstaltungstitel: | 13th International Conference on Mining Software Repositories |
| Veranstaltungsort: | Austin, Texas, USA |
| Veranstaltungsdatum: | May 14–15, 2016 |
| Hinterlegungsdatum: | 20 Apr 2016 07:15 |
| Offizielle URL: | http://doi.acm.org/10.1145/2901739.2903507 |
| ID-Nummer: | 10.1145/2901739.2903507 |
| Verwandte URLs: | |
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