{"has_accepted_license":"1","author":[{"full_name":"Christin Platenius, Marie","last_name":"Christin Platenius","first_name":"Marie"}],"department":[{"_id":"76"}],"file":[{"file_id":"1295","file_size":730490,"date_updated":"2018-03-15T10:36:38Z","relation":"main_file","date_created":"2018-03-15T10:36:38Z","creator":"florida","access_level":"closed","success":1,"file_name":"527-p715-platenius.pdf","content_type":"application/pdf"}],"doi":"10.1145/2491411.2492405","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Subprojekt B1","_id":"9"},{"_id":"3","name":"SFB 901 - Project Area B"}],"citation":{"chicago":"Christin Platenius, Marie. “Fuzzy Service Matching in On-The-Fly Computing.” In Proceedings of the Doctoral Symposium of the 9th Joint Meeting of the European Software Engineering Conference (ESEC) and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE), 715–18, 2013. https://doi.org/10.1145/2491411.2492405.","ieee":"M. Christin Platenius, “Fuzzy Service Matching in On-The-Fly Computing,” in Proceedings of the Doctoral Symposium of the 9th joint meeting of the European Software Engineering Conference (ESEC) and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE), 2013, pp. 715–718.","apa":"Christin Platenius, M. (2013). Fuzzy Service Matching in On-The-Fly Computing. In Proceedings of the Doctoral Symposium of the 9th joint meeting of the European Software Engineering Conference (ESEC) and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE) (pp. 715–718). https://doi.org/10.1145/2491411.2492405","ama":"Christin Platenius M. Fuzzy Service Matching in On-The-Fly Computing. In: Proceedings of the Doctoral Symposium of the 9th Joint Meeting of the European Software Engineering Conference (ESEC) and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE). ; 2013:715-718. doi:10.1145/2491411.2492405","bibtex":"@inproceedings{Christin Platenius_2013, title={Fuzzy Service Matching in On-The-Fly Computing}, DOI={10.1145/2491411.2492405}, booktitle={Proceedings of the Doctoral Symposium of the 9th joint meeting of the European Software Engineering Conference (ESEC) and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE)}, author={Christin Platenius, Marie}, year={2013}, pages={715–718} }","short":"M. Christin Platenius, in: Proceedings of the Doctoral Symposium of the 9th Joint Meeting of the European Software Engineering Conference (ESEC) and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE), 2013, pp. 715–718.","mla":"Christin Platenius, Marie. “Fuzzy Service Matching in On-The-Fly Computing.” Proceedings of the Doctoral Symposium of the 9th Joint Meeting of the European Software Engineering Conference (ESEC) and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE), 2013, pp. 715–18, doi:10.1145/2491411.2492405."},"publication":"Proceedings of the Doctoral Symposium of the 9th joint meeting of the European Software Engineering Conference (ESEC) and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE)","language":[{"iso":"eng"}],"type":"conference","user_id":"477","year":"2013","title":"Fuzzy Service Matching in On-The-Fly Computing","ddc":["040"],"date_updated":"2022-01-06T07:01:48Z","status":"public","date_created":"2017-10-17T12:42:35Z","abstract":[{"text":"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. ","lang":"eng"}],"_id":"527","page":" 715-718 ","file_date_updated":"2018-03-15T10:36:38Z"}