Understanding computers and cognition
Understanding computers and cognition
Beyond the chalkboard: computer support for collaboration and problem solving in meetings
Communications of the ACM
Software Development Environments
Computer
Semantic database modeling: survey, applications, and research issues
ACM Computing Surveys (CSUR)
Recording the reasons for design decisions
ICSE '88 Proceedings of the 10th international conference on Software engineering
gIBIS: a hypertext tool for exploratory policy discussion
ACM Transactions on Information Systems (TOIS)
A software process data model for knowledge engineering in information systems
Information Systems - Knowledge engineering
Database application development as an object modeling activity
Proceedings of the sixteenth international conference on Very large databases
A decision-based configuration process model
ICSE '90 Proceedings of the 12th international conference on Software engineering
Telos: representing knowledge about information systems
ACM Transactions on Information Systems (TOIS)
From information system requirements to designs: a mapping framework
Information Systems
Group work in software projects
Proceedings of the IFIP WG 8.4 confernece on Multi-user interfaces and applications
ISHYS: Designing an Intelligent Software Hypertext System
IEEE Expert: Intelligent Systems and Their Applications
System development (Prentice-Hall International series in computer science)
System development (Prentice-Hall International series in computer science)
| Hi-index | 0.00 |
When developing, implementing, and maintaining large-scale information systems, many facets of knowledge become relevant. Based on experiences in ESPRIT project DAIDA, we analyze these facets and sketch a comprehensive formal model of knowledge relevant to IS development and maintenance. Such a model can be used to structure development environments, to discuss and control software projects, and to support design decisions and their tool-assisted execution in CASE environments. Based on this model, we have implemented a knowledge-based and decision-oriented software information system called ConceptBase which provides efficient management of large bases of conceptual models and tools for exploratory analysis and (group) decision-making in IS engineering.