Authors
Deeksha M Arya, Jin LC Guo, Martin P Robillard
Publication date
2023/3
Journal
Empirical Software Engineering
Volume
28
Issue
2
Pages
23
Publisher
Springer US
Description
When learning a new technology, programmers often have to sift through multiple online resources to find information that addresses their questions. Prior work has reported that information seekers use a number of different strategies, including following scents, or indicators, to locate appropriate resources. We present a qualitative and quantitative investigation of how programmers learning a new technology employ these strategies to navigate between online resources and evaluate the pertinence of these resources. We performed a diary and interview study with ten programmers learning a new technology, to study how users navigate from the question they have to the resource that satisfies this need. Based on our observations, we propose a resource-seeking model that represents the online resource seeking behaviour of programmers when learning a new technology. The model is comprised of six …
Total citations
202220232024141
Scholar articles
DM Arya, JLC Guo, MP Robillard - Empirical Software Engineering, 2023