Demo Data from EDBT 2026 / reviewers in the wild / expert
F. Dumont
dblp:59/1296
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1997
—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 |
Software maintenance and evolution · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution › software reengineering › software modernization
software migration |
0.0 | 1 | 1997 | Applying Concept Formation Methods to Object Identification in Procedural Code · ASE 1997 |
Methods — techniques the papers use, named apart from their topics
concept formation · 0.0clustering · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | Applying Concept Formation Methods to Object Identification in Procedural CodeabstractLegacy software systems present a high level of entropy combined with imprecise documentation. This makes their maintenance more difficult, more time consuming, and costlier. In order to address these issues, many organizations have been migrating their legacy systems to new technologies. In this paper, we describe a computer-supported approach aimed at supporting the migration of procedural software systems to the object-oriented (OO) technology, which supposedly fosters reusability, expandability, flexibility, encapsulation, information hiding, modularity, and maintainability. Our approach relies heavily on the automatic formation of concepts based on information extracted directly from code to identify objects. The approach tends, thus, to minimize the need for domain application experts. We also propose rules for the identification of OO methods from routines. A well known and self-contained example is used to illustrate the approach. We have applied the approach on medium/large procedural software systems, and the results show that the approach is able to find objects and to identify their methods from procedures and functions. Houari Sahraoui, Walcélio L. Melo, Hakim Lounis, F. Dumont |
ASE | 4 |