Faculty and Student Publications
Document Type
Article
Publication Date
3-1-2020
Abstract
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Automation and autonomous systems are quickly becoming a more engrained aspect of modern society. The need for effective, secure computer code in a timely manner has led to the creation of automated code repair techniques to resolve issues quickly. However, the research to date has largely ignored the human factors aspects of automated code repair. The current study explored trust perceptions, reuse intentions, and trust intentions in code repair with human generated patches versus automated code repair patches. In addition, comments in the headers were manipulated to determine the effect of the presence or absence of comments in the header of the code. Participants were 51 programmers with at least 3 years’ experience and knowledge of the C programming language. Results indicated only repair source (human vs. automated code repair) had a significant influence on trust perceptions and trust intentions. Specifically, participants consistently reported higher levels of perceived trustworthiness, intentions to reuse, and trust intentions for human referents compared to automated code repair. No significant effects were found for comments in the headers.
Relational Format
journal article
Recommended Citation
Alarcon, G. M., Walter, C., Gibson, A. M., Gamble, R. F., Capiola, A., Jessup, S. A., & Ryan, T. J. (2020). Would You Fix This Code for Me? Effects of Repair Source and Commenting on Trust in Code Repair. Systems, 8(1), 8. https://doi.org/10.3390/systems8010008
DOI
10.3390/systems8010008
Accessibility Status
Searchable text