Conference proceeding
What Information about Code Snippets Is Available in Different Software-Related Documents? An Exploratory Study
2017 IEEE 24TH INTERNATIONAL CONFERENCE ON SOFTWARE ANALYSIS, EVOLUTION, AND REENGINEERING (SANER), pp.382-386
01 Jan 2017
Abstract
A large corpora of software-related documents is available on the Web, and these documents offer the unique opportunity to learn from what developers are saying or asking about the code snippets that they are discussing. For example, the natural language in a bug report provides information about what is not functioning properly in a particular code snippet. Previous research has mined information about code snippets from bug reports, emails, and Q&A forums. This paper describes an exploratory study into the kinds of information that is embedded in different software-related documents. The goal of the study is to gain insight into the potential value and difficulty of mining the natural language text associated with the code snippets found in a variety of software-related documents, including blog posts, API documentation, code reviews, and public chats.
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5 Record Views
Details
- Title
- What Information about Code Snippets Is Available in Different Software-Related Documents? An Exploratory Study
- Creators
- Preetha Chatterjee - University of DelawareManziba Akanda Nishi - Virginia Commonwealth UniversityKostadin Damevski - Virginia Commonwealth UniversityVinay Augustine - ABB Corp Res, Raleigh, NC USALori Pollock - University of DelawareNicholas A. Kraft - ABB Corp Res, Raleigh, NC USA
- Contributors
- M Pinzger (Editor)G Bavota (Editor)A Marcus (Editor)
- Publication Details
- 2017 IEEE 24TH INTERNATIONAL CONFERENCE ON SOFTWARE ANALYSIS, EVOLUTION, AND REENGINEERING (SANER), pp.382-386
- Conference
- 2017 IEEE 24TH INTERNATIONAL CONFERENCE ON SOFTWARE ANALYSIS, EVOLUTION, AND REENGINEERING (SANER), 24th
- Publisher
- IEEE
- Number of pages
- 5
- Grant note
- FA8750-16-2-0288 / DARPA MUSE program under Air Force Research Lab
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Identifiers
- 991021883914504721
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- Web of Science research areas
- Computer Science, Software Engineering