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Robert S. Maness

dblp:73/5174 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Empirical software engineering
software metrics
0.011989
A Software Science Model of Compile Time · IEEE Trans. Software Eng. 1989
Empirical software engineering › software metrics
software science metrics
0.011989
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
YearPublicationVenuePosition
1989 A Software Science Model of Compile Time
abstract
The 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