Janis A. Bubenko Jr.

dblp:b/JABubenko · DBLP profile ↗
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13ranked-venue papers
7as first author
0since 2021 · last 2005
—ORCID · none

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

Databases, data management, data science and information retrieval · 8 · 5 first-authorSoftware engineering, systems software and programming languages · 5 · 2 first-authorArtificial intelligence and machine learning · 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.

Databases, data mining, and information retrieval
5 papers
Data models and query languages · 49% Database system architecture and tuning · 39% Knowledge graphs · 12%
Software engineering, system software, and programming languages
4 papers
Requirements engineering and software design · 100%

Topics — the 8 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database system architecture and tuning › database design
database design tools
0.021982
IDBD - An Interactive Design Tool for CODASYL-DBTG-Type Data bases · VLDB 1982
Data Base Design Tools · VLDB 1978
Data models and query languages
conceptual modeling
0.011979
On the Role of 'Understanding Models' in Conceptual Schema Design · VLDB 1979
Data models and query languages › conceptual modeling
conceptual schema
0.011977
IAM: An Inferential Abstract Modeling Approach to Design of Conceptual Schema · SIGMOD Conference 1977
Knowledge graphs › knowledge graph construction › knowledge extraction
entity typing
0.011977
IAM: An Inferential Abstract Modeling Approach to Design of Conceptual Schema · SIGMOD Conference 1977
Data models and query languages › conceptual modeling
information modeling
0.011977
Validation and Verification Aspects of Information Modeling · VLDB 1977
Requirements engineering and software design › database design
conceptual schema design
0.011977
IAM: An Inferential Abstract Modeling Approach to Design of Conceptual Schema · SIGMOD Conference 1977
Requirements engineering and software design
conceptual modeling
0.021979
On the Role of 'Understanding Models' in Conceptual Schema Design · VLDB 1979
Validation and Verification Aspects of Information Modeling · VLDB 1977
Data models and query languages › data modeling
network data model
0.011982
IDBD - An Interactive Design Tool for CODASYL-DBTG-Type Data bases · VLDB 1982

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

verification · 0.0validation · 0.0understanding models · 0.0information inference analysis · 0.0functional dependency analysis · 0.0
YearPublicationVenuePosition
2005 A Historical Perspective on Conceptual Modelling: from Information Algebra to Enterprise Modelling and Ontologies
Janis A. Bubenko Jr.
EMMSAD1
2002 Requirements Engineering and Technology Transfer: Obstacles, Incentives and Improvement Agenda
Hermann Kaindl, Sjaak Brinkkemper, Janis A. Bubenko Jr., Barbara Farbey, Sol J. Greenspan, Constance L. Heitmeyer, Julio César Sampaio do Prado Leite, Nancy R. Mead, John Mylopoulos, Jawed I. A. Siddiqi
Requir. Eng.3
1996 Semantic Similarity Relations and Computation in Schema Integration
William Song, Paul Johannesson, Janis A. Bubenko Jr.
Data Knowl. Eng.3
1995 Challenges in requirements engineering
abstract
We discuss a number of essential problems of software requirements engineering, related to management, organisations, users, stakeholders, methodology, tools, and education. Most of the problems seem to have their roots in how requirements engineering is appreciated at the business management and IT management levels.
Janis A. Bubenko Jr.
RE1
1994 Software requirements acquisition through enterprise modelling
Marite Kirikova, Janis A. Bubenko Jr.
SEKE2
1994 Guest Editorial for the Special Issue on Extending Database Technology
Janis A. Bubenko Jr., Matthias Jarke, Keith G. Jeffery
Inf. Syst.1
1993 Theories underlying requirements engineering: an overview of NATURE at Genesis
abstract
NATURE is a collaborative basic research project on theories underlying requirements engineering funded by the ESPRIT III program of the European communities. Its goals are to develop a theory of knowledge representation that embraces subject, usage and development worlds surrounding the system, including expressive freedoms; a theory of domain engineering that facilitates the identification, acquisition and formalization of domain knowledge as well as similarity-based matching and classifying of software engineering knowledge; and a process engineering theory that promotes context and decision-based control of the development process. These theories are integrated and evaluated in a prototype environment constructed around an extended version of the conceptual modeling language Telos.>
Matthias Jarke, Janis A. Bubenko Jr., Colette Rolland, Alistair G. Sutcliffe, Yannis Vassiliou
RE2
1992 Semantic Similarity Relations in Schema Integration
William Song, Paul Johannesson, Janis A. Bubenko Jr.
ER3
1982 IDBD - An Interactive Design Tool for CODASYL-DBTG-Type Data bases
Roland Dahl, Janis A. Bubenko Jr.
VLDB2
1979 On the Role of 'Understanding Models' in Conceptual Schema Design
Janis A. Bubenko Jr.
VLDB1
1978 Data Base Design Tools
Janis A. Bubenko Jr.
VLDB1
1977 IAM: An Inferential Abstract Modeling Approach to Design of Conceptual Schema
abstract
A method for designing a conceptual schema (information model) for a data base is presented. The basic notion is that a conceptual schema is designed by collecting and integrating 'local' user information requirements and analysis of information inference relationships. The procedure consists of the following phases: 1) collection and specification of information requirements, 2) entity classification, 3) specification of functional dependencies, 4) abstract object specification, integration and analysis, 5) implied information analysis, 6) derivability (precedence) analysis and 7) transformation to an 'external-named-based' model. The phases are performed iteratively in a controlled fashion. Underlying theoretical concepts are defined and arguments presented for the method's practical applicability.
Janis A. Bubenko Jr.
SIGMOD Conference1
1977 Validation and Verification Aspects of Information Modeling
Janis A. Bubenko Jr.
VLDB1