Learning revised models for planning in adaptive systems

• Published in: Proceedings of the 2013 International Conference on Software Engineering pp. 63 - 71
• Main Authors: Sykes, Daniel, Corapi, Domenico, Magee, Jeff, Kramer, Jeff, Russo, Alessandra, Inoue, Katsumi
• Format: Conference Proceeding
• Language: English
• Published: Piscataway, NJ, USA IEEE Press 18.05.2013
• Series: ACM Conferences
• Subjects: Computing methodologies > Machine learning; Computing methodologies > Modeling and simulation > Model development and analysis; Software and its engineering > Software creation and management > Designing software > Software implementation planning > Software design techniques; Software and its engineering > Software creation and management > Software development process management

Environment domain models are a key part of the information used by adaptive systems to determine their behaviour. These models can be incomplete or inaccurate. In addition, since adaptive systems generally operate in environments which are subject to change, these models are often also out of date....