Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
7-2020
Abstract
Software developers often reuse code from online sources such as Stack Overflow within their projects. However, the process of searching for code snippets and integrating them within existing source code can be tedious. In order to improve efficiency and reduce time spent on code reuse, we present an automated code reuse tool for the Eclipse IDE (Integrated Developer Environment), NLP2TestableCode. NLP2TestableCode can not only search for Java code snippets using natural language tasks, but also evaluate code snippets based on a user’s existing code, modify snippets to improve fit and correct errors, before presenting the user with the best snippet, all without leaving the editor. NLP2TestableCode also includes functionality to automatically generate customisable test cases and suggest argument and return types, in order to further evaluate code snippets. In evaluation, NLP2TestableCode was capable of finding compilable code snippets for 82.9% of tasks, and testable code snippets for 42.9%.
Keywords
Crowd-generated code snippets, Optimisation, Stack overflow
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
Proceedings of the 9th International Workshop on Genetic Improvement, Cancún, Mexico, 2020 July 8-12
First Page
1945
Last Page
1953
ISBN
9781450371278
Identifier
10.1145/3377929.3398087
Publisher
ACM
City or Country
Cancun, Mexico
Citation
REID, Brittany; TREUDE, Christoph; and WAGNER, Markus.
Optimising the fit of stack overflow code snippets into existing code. (2020). Proceedings of the 9th International Workshop on Genetic Improvement, Cancún, Mexico, 2020 July 8-12. 1945-1953.
Available at: https://ink.library.smu.edu.sg/sis_research/8804
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3377929.3398087