Demo Data from EDBT 2026 / reviewers in the wild / expert
Linwood Watkins
dblp:156/7588
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
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 |
Requirements engineering and software design · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Requirements engineering and software design › software process
process modeling |
0.2 | 1 | 2015 | Customizing the Representation Capabilities of Process Models: Understanding the Effects of Perceived Modeling Impediments · IEEE Trans. Software Eng. 2015 |
Methods — techniques the papers use, named apart from their topics
grounded theory · 0.2case study · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Customizing the Representation Capabilities of Process Models: Understanding the Effects of Perceived Modeling ImpedimentsabstractProcess modeling is useful during the analysis and design of systems. Prior research acknowledges both impediments to process modeling that limits its use as well as customizations that can be employed to help improve the creation of process models. However, no research to date has provided a rich examination of the linkages between perceived process modeling impediments and process modeling customizations. In order to help address this gap, we first conceptualized perceived impediments to using process models as a “lack of fit” between process modeling and another factor: 1) the role the process model is intended for; and 2) the task at hand. We conducted a case study at two large health insurance carriers to understand why the lack of fit existed and then show different types of process modeling customizations used to address the lack of fit and found a variety of “physical” and “process” customizations employed to overcome the lack of fits. We generalize our findings into propositions for future research that examinethe dynamic interaction between process models and their need to be understood by individuals during systems analysis and design. Binny M. Samuel, Linwood Watkins, Andrew Ehle, Vijay Khatri |
IEEE Trans. Software Eng. | 2 |