Demo Data from EDBT 2026 / reviewers in the wild / expert
Alan P. Sheng
dblp:21/5853
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1984
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 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 · 77% Software maintenance and evolution · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Empirical software engineering
software quality and productivity |
0.0 | 1 | 1984 | Building-In Quality and Productivity to a Large Software System · ICDE 1984 |
Methods — techniques the papers use, named apart from their topics
metric analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1984 | Building-In Quality and Productivity to a Large Software SystemabstractThe ever-increasing demand for more and larger software systems requires that new and more effective ways of developing software be developed to increase the levels of quality and productivity. Experience with the 5ESS1" switching system development at Bell Laboratories showed that simultaneous gains in productivity and quality were made by improving the methodology and the environment surrounding the development. This paper describes the key aspects of the management approach and the development methodology that directly contributed to those improvements in the software quality and project productivity. In addition, efforts for further improvements, including the implementation of productivity and quality circles, data and metric analysis, etc., are discussed. Although these experiences resulted from the development of a very large project, the basic ideas and techniques can still be applied to most software projects involving more than a small group of programmers. Edward M. Prell, Alan P. Sheng |
ICDE | 2 |