Demo Data from EDBT 2026 / reviewers in the wild / expert
Antonio Oliveira Filho
dblp:41/8164
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 first-author
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 · 67% Software maintenance and evolution · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Requirements engineering and software design
business rules |
0.1 | 1 | 2010 | Change impact analysis from business rules · ICSE (2) 2010 |
Software maintenance and evolution
change impact analysis |
0.1 | 1 | 2010 | Change impact analysis from business rules · ICSE (2) 2010 |
Requirements engineering and software design
requirements traceability |
0.1 | 1 | 2010 | Change impact analysis from business rules · ICSE (2) 2010 |
Methods — techniques the papers use, named apart from their topics
traceability model · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Change impact analysis from business rulesabstractImpact analysis is the identification of the potential consequences of a change, or estimating what needs to be modified to accomplish a change, including related costs and schedule estimates. In this work, we distinguish between two kinds of concerns related to impact analysis: (1) business-specific concerns, those related to stakeholders interested in checking if other business rules are impacted by the change and also need to be modified; and (2) software-specific concerns, those related to stakeholders interested in the impacted software artifacts that need to be modified. Several traceability techniques have been studied and none of them supported impact analysis that dealt with business-specific concerns with reasonable values of precision and recall for the discovered impacts. Our research work aims to support business-specific concerns during impact analysis, by proposing and evaluating a traceability technique that resorts on a new traceability model defined over business rules, with expected precision and recall values of 100%. Antonio Oliveira Filho |
ICSE (2) | 1 |