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Contribution Details
| Type | Book Chapter |
| Scope | Discipline-based scholarship |
| Title | A practical guide to analyzing IDE usage data |
| Organization Unit | |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
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| Booktitle | Perspectives on Data Science for Software Engineering |
| ISBN | 9780128042069 |
| Place of Publication | Burlington, Massachusetts |
| Publisher | Morgan Kaufmann/Elsevier |
| Page Range | 85 - 136 |
| Date | 2015 |
| Abstract Text | Integrated development environments such as Eclipse and Visual Studio provide tools and capabilities to perform tasks such as navigating among classes and methods, continuous compilation, code refactoring, automated testing, and integrated debugging, all designed to increase productivity. Instrumenting the integrated development environment to collect usage data provides a more fine-grained understanding of developers' work than was previously possible. Usage data supports analysis of how developers spend their time, what activities might benefit from greater tool support, where developers have difficulty comprehending code, and whether they are following specific practices such as test-driven development. With usage data, we expect to uncover more nuggets of how developers create mental models, how they investigate code, how they perform mini trial-and-error experiments, and what might drive productivity improvements for everyone. |
| Digital Object Identifier | 10.1016/B978-0-12-411519-4.00005-7 |
| Other Identification Number | merlin-id:13566 |
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