Demo Data from EDBT 2026 / reviewers in the wild / expert
Elena Orazi
dblp:94/11
· DBLP profile ↗
1ranked-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 · 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 · 87% Software maintenance and evolution · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Empirical software engineering › software metrics
goal-question-metric |
0.0 | 1 | 1998 | Applying GQM in an Industrial Software Factory · ACM Trans. Softw. Eng. Methodol. 1998 |
Empirical software engineering
software metrics |
0.0 | 1 | 1998 | Applying GQM in an Industrial Software Factory · ACM Trans. Softw. Eng. Methodol. 1998 |
Software maintenance and evolution
software process improvement |
0.0 | 1 | 1998 | Applying GQM in an Industrial Software Factory · ACM Trans. Softw. Eng. Methodol. 1998 |
Methods — techniques the papers use, named apart from their topics
GQM · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | Applying GQM in an Industrial Software FactoryabstractGoal/Question/Metric GQM) is a paradigm for the systematic definition, establishment, and exploitation of measurement programs supporting the quantitative evaluation of softare processes and products. Although GQM is a quite well-known method, detailed guidelines for establishing a GQM program in an industrial environment are still limited. Also, there are few reported experiences on the application of GQM to industrial cases. Finally, the technological support for GQM is still inadequate. This article describes the experience we have gained in applying GQM at Digital Laboratries in Italy. The procedures, experiences, and technology that have been employed in this study are largely reusable by other industrial organizations willing to introduce a GQM-based measurement program in their development environments. Alfonso Fuggetta, Luigi Lavazza, Sandro Morasca, Stefano Cinti, Giandomenico Oldano, Elena Orazi |
ACM Trans. Softw. Eng. Methodol. | 6 |