Demo Data from EDBT 2026 / reviewers in the wild / expert
Sandro Perlini
dblp:99/6101
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1998
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2
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 · 50% Empirical software engineering · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution
software evolution |
0.0 | 1 | 1998 | Assessment of System Evolution Through Characterization · ICSE 1998 |
Empirical software engineering
software metrics |
0.0 | 1 | 1998 | Assessment of System Evolution Through Characterization · ICSE 1998 |
Methods — techniques the papers use, named apart from their topics
software metrics · 0.0histograms · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | Metrics and Tool for System AssessmentabstractA wide increment of object-oriented diffusion has been registered. This is accompanied by the needs of metrics and tools for assessing class reusability, maintainability, complexity, etc. Metrics have to produce confident results and have to be continuously revalidated on the basis of the specific purpose of their adoption. Tools for system assessment must be capable of satisfying the needs of each company by supporting the definition of more specific metrics and by providing appropriate views of software characteristics. These views are useful to give the developers as well as the managers immediately understandable representations of the system status. In this paper a new approach is proposed for system assessment. This approach is based on the adoption of new and well-known metrics together with a set of histograms and profiles that give a clear characterization of the system under development. The semantics of these histograms has been validated against several projects. A brief overview of the tool, TAC++, developed for system assessment is also included. Giacomo Bucci, Fabrizio Fioravanti, Paolo Nesi, Sandro Perlini |
ICECCS | 4 |
| 1998 | Assessment of System Evolution Through CharacterizationabstractOwing to the growing diffusion of the object-oriented paradigm and the need to keep the process of software development under control, industries are looking for metrics/indicators capable of evaluating system evolution to control quality, reusability, maintainability, etc. Some new metrics are proposed for monitoring system development and maintenance. These metrics are used with a set of histograms to give a clear characterization of the system under development. Histograms call be profitably used to detect critical conditions during the system life-cycle. The semantics of these histograms has been validated against several projects: an example is also reported. Fabrizio Fioravanti, Paolo Nesi, Sandro Perlini |
ICSE | 3 |