How are Java software developers using the Elipse IDE?

By Gail C. Murphy, Mik Kersten, Leah Findlater. IEEE Software, 2006

419 citations recorded by the source corpus.

Subfields: Information Systems, Software

View Paper: https://www.semanticscholar.org/paper/6dd38e533bf912364f8d5af73f66c67263933dd5

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Citations in the corpus

Pythia: AI-assisted Code Completion System (2019, background): “for both intra and cross-project settings. Keywords Code completion, neural networks, naturalness of software 1 Introduction In software development through Integrated Development Environments (IDEs) [1], code completion is one of the most widely used features. Intelligent code completion [2] assist”
Learning Autocompletion from Real-World Datasets (2020, methodology): “ng, neural networks, software language models, naturalness, code completion, integrated development environments, software tools I. INTRODUCTION Autocompletion is the most frequently used IDE feature [1]. Beyond its utility as a typing assistant, code completion also helps software developers discov”
Asking and Answering Questions during a Programming Change Task (2008, methodology): “report on observations around how programmers are using the Eclipse Java Development Environment [67].”
Why we refactor? confessions of GitHub contributors (2016, methodology): “maintain a healthy code base [10, 4, 27, 19]. For this reason, vast empirical research was recently conducted to extend our knowledge on this practice. Studies on refactoring practices: Murphy et al. [20] record the rst results on refactoring usage, collected using the Mylar Monitor, a standalone fr”
How Program History Can Improve Code Completion (2008, background): “At any time, an IDE such as Eclipse maintains a full queryable program model.”
Learning from examples to improve code completion systems (2009, background): “The code completion feature of modern integrated development environments (IDEs) is extensively used by developers, up to several times per minute [21].”
Using task context to improve programmer productivity (2006, methodology): “5.1 Participants The target subjects for our study were industry Java programmers who used the Eclipse IDE.”
How we refactor, and how we know it (2009, methodology): “The first set we will call Users; it was originally collected in the latter half of 2005 by Murphy and colleagues [7], who used the Mylyn Monitor tool to capture and analyze fine-grained usage data from 41 volunteer programmers in the wild using the Eclipse development environment (http://eclipse.”
Is GitHub Copilot a Substitute for Human Pair-programming? An Empirical Study (2022, background): “to possibly discover the best practice of software development [6].”