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Studying programmer behaviour at scale : a case study using Amazon Mechanical Turk
- Source :
- Programming
- Publication Year :
- 2021
- Publisher :
- Association for Computing Machinery, Inc, 2021.
-
Abstract
- Funding: This work was funded by an EPSRC studentship and EPSRC grant EP/R004471/1. Data available at https://doi.org/10.17863/CAM.66593. Developing and maintaining a correct and consistent model of how code will be executed is an ongoing challenge for software developers. However, validating the tools and techniques we develop to aid programmers can be a challenge plagued by small sample sizes, high costs, or poor generalisability. This paper serves as a case study using a web-based crowdsourcing approach to study programmer behaviour at scale. We demonstrate this method to create controlled coding experiments at modest cost, highlight the efficacy of this approach with objective validation, and comment on notable findings from our prototype experiment into one of the most ubiquitous, yet understudied, features of modern software development environments: syntax highlighting. Postprint
- Subjects :
- QA75
Computer science
Computer Networks and Communications
QA75 Electronic computers. Computer science
Crowdsourcing
programming
QA76
Software
QA76 Computer software
Code (cryptography)
Behaviour
Programmer
MCC
business.industry
Scale (chemistry)
Small sample
DAS
NIS
behaviour
Human-Computer Interaction
Programming
crowdsourcing
Computer Vision and Pattern Recognition
business
Software engineering
Syntax highlighting
Coding (social sciences)
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Programming
- Accession number :
- edsair.doi.dedup.....eaa8a9f7169f78a45bbc93681631b7fb