Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/129194
Citations
Scopus Web of Science® Altmetric
?
?
Type: Conference paper
Title: An annotated dataset of stack overflow post edits
Author: Baltes, S.
Wagner, M.
Citation: Proceedings of the 2020 Genetic and Evolutionary Computation Conference (GECCO'20). GECCO 2020 Companion, 2020, pp.1923-1925
Publisher: Association for Computing Machinery
Publisher Place: online
Issue Date: 2020
ISBN: 9781450371278
Conference Name: Genetic and Evolutionary Computation Conference (GECCO) (8 Jul 2020 - 12 Jul 2020 : virtual online)
Statement of
Responsibility: 
Sebastian Baltes, Markus Wagner
Abstract: To improve software engineering, software repositories have been mined for code snippets and bug fixes. Typically, this mining takes place at the level of files or commits. To be able to dig deeper and to extract insights at a higher resolution, we hereby present an annotated dataset that contains over 7 million edits of code and text on Stack Overflow. Our preliminary study indicates that these edits might be a treasure trove for mining information about fine-grained patches, e.g., for the optimisation of non-functional properties.
Keywords: Software documentation; software evolution; patches; mining software repositories; stack overflow
Rights: © 2020 Copyright held by the owner/author(s). Publication rights licensed to ACM.
DOI: 10.1145/3377929.3398108
Published version: https://dl.acm.org/doi/proceedings/10.1145/3377929
Appears in Collections:Aurora harvest 4
Computer Science publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.