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Lukas Vogel 0002

dblp:183/6378-2 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Empirical software engineering · 77% Software maintenance and evolution · 23%
Human-computer interaction and pervasive computing
1 paper
User interface design and tools · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
User interface design and tools › programming environments
integrated development environment
0.212016
The IDE as a scriptable information system · ASE 2016
Empirical software engineering › developer studies › developer behavior
developer information needs
0.212016
The IDE as a scriptable information system · ASE 2016
Software maintenance and evolution
refactoring
0.112016
The IDE as a scriptable information system · ASE 2016

Methods — techniques the papers use, named apart from their topics

scripting · 0.5query mechanism · 0.5
YearPublicationVenuePosition
2016 The IDE as a scriptable information system
abstract
Software engineering is extremely information-intensive. Every day developers work with source code, version repositories, issue trackers, documentation, web-based and other information resources. However, three key aspects of information work lack good support: (i) combining information from different sources; (ii) flexibly presenting collected information to enable easier comprehension; and (iii) automatically acting on collected information, for example to perform a refactoring. Poor support for these activities makes many common development tasks time-consuming and error-prone. We propose an approach that directly addresses these three issues by integrating a flexible query mechanism into the development environment. Our approach enables diverse ways to process and visualize information and can be extended via scripts. We demonstrate how an implementation of the approach can be used to rapidly write queries that meet a wide range of information needs.
Dimitar Asenov, Peter Müller 0001, Lukas Vogel 0002
ASE3