Demo Data from EDBT 2026 / reviewers in the wild / expert
Anand Raghavendran
dblp:40/2936
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1995
—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 |
Empirical software engineering · 33% Requirements engineering and software design · 33% 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 › requirements analysis
domain analysis |
0.0 | 1 | 1995 | An Organizational Learning Approach to Domain Analysis · ICSE 1995 |
Empirical software engineering
mining software repositories |
0.0 | 1 | 1995 | An Organizational Learning Approach to Domain Analysis · ICSE 1995 |
Software maintenance and evolution
software reuse |
0.0 | 1 | 1995 | An Organizational Learning Approach to Domain Analysis · ICSE 1995 |
Methods — techniques the papers use, named apart from their topics
organizational learning · 0.0case-based reasoning · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | An Organizational Learning Approach to Domain AnalysisabstractAs the application of computer technology continues to proliferate and diversify, the identification and understanding of application domains is becoming increasingly important to software development methodologies.Domain analysis techniques have been developed to accumulate and formalize the knowledge necessary for successful software reuse.These techniques have been shown to be useful, but suffer from defining the domain too restrictively, burying important relationships deep in domain taxonomies, and prohibiting flexible identification of domains with common issues.Techniques are needed that dynamically detect recurring patterns of activities in development projects, This paper presents a method for developing and refining the knowledge and experience accumulated by a development organization so it can learn from previous efforts.A case-based repository of project experiences supports the re-use and refinement of domain knowledge to reduce duplicate effort, build on successful efforts, and avoid repeating mistakes in the process of building quality software systems. Scott Henninger, Kris Lappala, Anand Raghavendran |
ICSE | 3 |