Title :
Towards adaptive web agents
Author :
Murdock, J. William ; Goel, Ashok K.
Author_Institution :
Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
There is an increasingly large demand for software systems which are able to operate effectively in dynamic environments. In such environments, automated software engineering is extremely valuable since a system needs to evolve in order to respond to changing requirements. One way for software to evolve is for it to reflect upon a model of its own design. A key challenge in reflective evolution is credit assignment: given a model representing the design elements of a complex system, how might that system localize, identify and prioritize prospective candidates for potential modification. We describe a model-based credit assignment mechanism. We also report on an experiment on evolving the design of Mosaic 2.4, an early network browser
Keywords :
computer aided software engineering; online front-ends; software agents; Mosaic 2.4; adaptive web agents; automated software engineering; changing requirements; credit assignment; Displays; Ear; Educational institutions; Electrical capacitance tomography; Identity-based encryption; Intelligent agent; Microwave integrated circuits; Roads; Software systems; Web sites;
Conference_Titel :
Automated Software Engineering, 1999. 14th IEEE International Conference on.
Conference_Location :
Cocoa Beach, FL
Print_ISBN :
0-7695-0415-9
DOI :
10.1109/ASE.1999.802367
