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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
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
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Computer Science publications

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