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Stephen N. Zilles

dblp:80/3689 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1979
—ORCID · none

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

Software engineering, systems software and programming languages · 2

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
Requirements engineering and software design · 55% Empirical software engineering · 29% Program verification · 16%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Requirements engineering and software design
formal specification
0.011975
Specification Techniques for Data Abstractions · IEEE Trans. Software Eng. 1975
Empirical software engineering
mining software repositories
0.011979
Prediction and Management of Program Quality · ICSE 1979
Program verification
correctness proof
0.011975
Specification Techniques for Data Abstractions · IEEE Trans. Software Eng. 1975
YearPublicationVenuePosition
1979 Prediction and Management of Program Quality
Horst Remus, Stephen N. Zilles
ICSE2
1975 Specification Techniques for Data Abstractions
abstract
Discusses the importance of formal specifications and surveys a number of promising specification techniques. The role of formal specifications both in proofs of program correctness and in programming methodologies leading to programs which are correct by construction, is explained. Some criteria are established for evaluating the practical potential of specification techniques. The importance of providing specifications at the right level of abstraction is discussed, and a particularly interesting class of specification techniques, those used to construct specifications of data abstractions, is identified. A number of specification techniques for describing data abstractions are surveyed and evaluated with respect to the criteria.
Barbara Liskov, Stephen N. Zilles
IEEE Trans. Software Eng.2