Demo Data from VLDB 2026 / reviewers in the wild / expert
Robert S. Maness
dblp:73/5174
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1989
—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 · 67% Compilers and program optimization · 33% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Empirical software engineering
software metrics |
0.0 | 1 | 1989 | A Software Science Model of Compile Time · IEEE Trans. Software Eng. 1989 |
Empirical software engineering › software metrics
software science metrics |
0.0 | 1 | 1989 | A Software Science Model of Compile Time · IEEE Trans. Software Eng. 1989 |
Methods — techniques the papers use, named apart from their topics
nonlinear regression · 0.0halstead software science · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1989 | A Software Science Model of Compile TimeabstractThe Halstead theory of software science is used to describe the compilation process and generate a compiler performance index. A nonlinear model of compile time is estimated for four Ada compilers. A fundamental relation between compile time and program modularity is proposed. Issues considered include data collection procedures, the development of a counting strategy, the analysis of the complexity measures used, and the investigation of significant relationships between program characteristics and compile time. The results indicate that the model has a high predictive power and provides interesting insights into compiler performance phenomena. The research suggests that the discrimination rate of a compiler is a valuable performance index and is preferred to average compile-time statistics.> Wade H. Shaw Jr., James W. Howatt, Robert S. Maness, Dennis M. Miller |
IEEE Trans. Software Eng. | 3 |