Development and Verification of Rule Based Systems -- A Survey of Developers

Authors:
Valentin Zacharias
Affiliations:
FZI Research Center for Information Technologies at the University of Karlsruhe,
Venue:
RuleML '08 Proceedings of the International Symposium on Rule Representation, Interchange and Reasoning on the Web
Year:
2008

Citing 9
Cited 7

A survey on quality related activities in open source

ACM SIGSOFT Software Engineering Notes
Algorithmic program debugging

Algorithmic program debugging
Quality assurance under the open source development model

Journal of Systems and Software
Software Development Worldwide: The State of the Practice

IEEE Software
Iterative and Incremental Development: A Brief History

Computer
What Do We Know about Defect Detection Methods?

IEEE Software
Handbook of Research on Emerging Rule-based Languages and Technologies: Open Solutions and Approaches

Handbook of Research on Emerging Rule-based Languages and Technologies: Open Solutions and Approaches
WhyNot: debugging failed queries in large knowledge bases

IAAI'02 Proceedings of the 14th conference on Innovative applications of artificial intelligence - Volume 1
The role of abduction in declarative authorization policies

PADL'08 Proceedings of the 10th international conference on Practical aspects of declarative languages

Decision table based approach for business rules modelling in UML/OCL

Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies
Advanced empirical testing

Knowledge-Based Systems
HalVA - rule analysis framework for XTT2 rules

RuleML'2011 Proceedings of the 5th international conference on Rule-based reasoning, programming, and applications
An MDA approach to knowledge engineering

Expert Systems with Applications: An International Journal
Situated cognition and knowledge acquisition research

International Journal of Human-Computer Studies
Improving the performance of a named entity recognition system with knowledge acquisition

EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
Knowledge acquisition based on learning of maximal structure fuzzy rules

Knowledge-Based Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

While there is great interest in rule based systems and their development, there is little data about the tools and methods used and the issues facing the development of these systems. To address this deficiency, this paper presents the results from a survey of developers of rule based systems. The results from the survey give an overview of the methods and tools used for development and the major issues hindering the development of rule based systems. Recommendations for possible future research directions are presented. The results point to verification and validation, debugging and overall tool support as the main issues negatively affecting the development of rule based systems. Further a lack of methodologies that appropriately support developers of these systems was found.