Building expert systems
Knowledge elicitation techniques for knowledge-based systems
Knowledge elicitation: principle, techniques and applications
Journal of Systems and Software
Second generation expert systems
Second generation expert systems
An overview of knowledge acquisition
Second generation expert systems
Varieties of knowledge elicitation techniques
International Journal of Human-Computer Studies
Expert systems: failure or success?
Journal of Systems and Software
COBRA: a hybrid method for software cost estimation, benchmarking, and risk assessment
Proceedings of the 20th international conference on Software engineering
Scenarios in System Development: Current Practice
IEEE Software
Acquiring COTS Software Selection Requirements
IEEE Software
Proceedings of the International Workshop on Experimental Software Engineering Issues: Critical Assessment and Future Directions
CBR for Experimental Software Engineering
Case-Based Reasoning Technology, From Foundations to Applications
Practical Evaluation of an Organizational Memory Using the Goal-Question-Metric Technique
XPS '99 Proceedings of the 5th Biannual German Conference on Knowledge-Based Systems: Knowledge-Based Systems - Survey and Future Directions
Modelling the application domains of software engineering technologies
ASE '97 Proceedings of the 12th international conference on Automated software engineering (formerly: KBSE)
Perceptions of software quality: a pilot study
Software Quality Control
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Many tasks in experimental software engineering (ESE) involve the acquisition of knowledge. Only for very few of them systematic knowledge acquisition (KA) practices have been established. It is expected that these ESE tasks can be accomplished more effectively if the application of appropriate systematic KA methods is fostered. Most reports on KA applications in software engineering address only some selected aspects. A broader ESE perspective with its additional facets (e.g., quality and knowledge management issues) has not yet been presented so far. This paper surveys applications of knowledge acquisition in experimental software engineering, introduces a repository of knowledge elicitation (KEL) techniques, and suggests a methodology for the development of customised KA methods in experimental software engineering. Repository and methodology aim at fostering the dissemination of systematic KA practices in ESE. They are applied at Fraunhofer IESE to develop methods for the acquisition of experiential software engineering knowledge.