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William W. Agresti

dblp:98/6292 · DBLP profile ↗
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13ranked-venue papers
4as first author
0since 2021 · last 2005
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 10 · 2 first-authorArtificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author

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
2 papers
Empirical software engineering · 56% Requirements engineering and software design · 44%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Empirical software engineering
software defect prediction
0.011992
Projecting Software Defects From Analyzing Ada Designs · IEEE Trans. Software Eng. 1992
Requirements engineering and software design
software design quality
0.011986
An Empirical Study of Software Design Practices · IEEE Trans. Software Eng. 1986

Methods — techniques the papers use, named apart from their topics

static analysis · 0.0multivariate regression · 0.0contingency table analysis · 0.0
YearPublicationVenuePosition
2005 Older drivers and accidents: A meta analysis and data mining application on traffic accident data
Evrim Bayam, Jay Liebowitz, William W. Agresti
Expert Syst. Appl.3
1999 Introduction to the Special Issue: Papers from the Fifth International Symposium on Software Metrics
William W. Agresti, Marvin V. Zelkowitz
Empir. Softw. Eng.1
1997 The Impact of Environment Evolution on Requirements Changes
Nazim H. Madhavji, Ted Thompson, Peri Loucopoulos, William W. Agresti, Karel Vredenburg
RE4
1992 Projecting Software Defects From Analyzing Ada Designs
abstract
Models for projecting software defects from analyses of Ada designs are described. The research is motivated by the need for technology to analyze designs for their likely effect on software quality. The models predict defect density based on product and process characteristics. Product characteristics are extracted from a static analysis of Ada subsystems, focusing on context coupling, visibility, and the import-export of declarations. Process characteristics provide for effects of reuse level and extent of changes. Multivariate regression analyses were conducted with empirical data from industry/government-developed projects: 16 Ada subsystems totaling 149000 source lines of code. The resulting models explain 63-74% of the variation in defect density of the subsystems. Context coupling emerged as a consistently significant variable in the models.>
William W. Agresti, William M. Evanco
IEEE Trans. Software Eng.1
1990 More on software science
David N. Card, William W. Agresti
J. Syst. Softw.2
1989 Further remarks on software science
David N. Card, William W. Agresti
J. Syst. Softw.2
1989 Measuring Ada for software development in the Software Engineering Laboratory
Frank E. McGarry, William W. Agresti
J. Syst. Softw.2
1988 Measuring software design complexity
David N. Card, William W. Agresti
J. Syst. Softw.2
1987 Resolving the software science anomaly
David N. Card, William W. Agresti
J. Syst. Softw.2
1987 Comments on resolving the software science anomaly
David N. Card, William W. Agresti
J. Syst. Softw.2
1986 An Empirical Study of Software Design Practices
abstract
Results of an empirical study of software design practices in one specific environment are reported. The practices examined affect module size, module strength, data coupling, descendant span, unreferenced variables, and software reuse. Measures characteristic of these practices were extracted from 887 Fortran modules developed for five flight dynamics software projects monitored by the Software Engineering Laboratory. The relationship of these measures to cost and fault rate was analyzed using a contingency table procedure. The results show that some recommended design practices, despite their intuitive appeal, are ineffective in this environment, whereas others are very effective.
David N. Card, Victor E. Church, William W. Agresti
IEEE Trans. Software Eng.3
1979 Register assignment in tree-structured programs
William W. Agresti
Inf. Sci.1
1976 Computer science as an interdisciplinary study
abstract
The organization of computer science education as an interdisciplinary program is described. First, various possible relationships among disciplines are traced, and the features of interdisciplinarity are explained. Next, a specific interdisciplinary program in computer science is introduced, including experiences with the administration and operation of the program. An appraisal of the interdisciplinary approach to computer science education follows. The advantages are significant: a lower cost program, a more adaptive program, and one that is better able to treat the interfaces of computer science with other areas. Such a favorable report suggests that the interdisciplinary approach merits consideration, especially by colleges which want to offer a computer science degree but have limited funds.
William W. Agresti
SIGCSE1