Fuzzy Service Matching in On-The-Fly Computing

In the future vision of software engineering, services from world-wide markets are composed automated in order to build custom-made systems.Supporting such scenarios requires an adequate service matching approach.Many existing approaches do not fulfill two key requirements of emerging concepts like On-The-Fly-Computing, namely (1) comprehensiveness, i.e., the consideration of different service aspects that cover not only functional properties, but also non-functional properties and (2) fuzzy matching, i.e., the ability to deliver gradual results in order to cope with a certain extent of uncertainty, incompleteness, and tolerance ranges.In this paper, I present a fuzzy matching process that distinguishes between different fuzziness sources and leverages fuzziness in different matching steps which consider different service aspects, e.g., behavior and quality properties.