{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T03:43:08Z","timestamp":1743046988005,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031368882"},{"type":"electronic","value":"9783031368899"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-36889-9_15","type":"book-chapter","created":{"date-parts":[[2023,7,15]],"date-time":"2023-07-15T21:01:50Z","timestamp":1689454910000},"page":"199-214","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Towards Uncertainty Reduction Tactics for\u00a0Behavior Adaptation"],"prefix":"10.1007","author":[{"given":"Andreas","family":"Kreutz","sequence":"first","affiliation":[]},{"given":"Gereon","family":"Weiss","sequence":"additional","affiliation":[]},{"given":"Mario","family":"Trapp","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,7,16]]},"reference":[{"issue":"3731","key":"15_CR1","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1126\/science.153.3731.34","volume":"153","author":"R Bellman","year":"1966","unstructured":"Bellman, R.: Dynamic programming. Science 153(3731), 34\u201337 (1966). https:\/\/doi.org\/10.1126\/science.153.3731.34","journal-title":"Science"},{"issue":"5","key":"15_CR2","doi-asserted-by":"publisher","first-page":"1163","DOI":"10.1007\/s10270-019-00741-0","volume":"19","author":"MF Bertoa","year":"2019","unstructured":"Bertoa, M.F., Burgue\u00f1o, L., Moreno, N., Vallecillo, A.: Incorporating measurement uncertainty into OCL\/UML primitive datatypes. Softw. Syst. Model. 19(5), 1163\u20131189 (2019). https:\/\/doi.org\/10.1007\/s10270-019-00741-0","journal-title":"Softw. Syst. Model."},{"key":"15_CR3","unstructured":"BIPM, IEC, IFCC, ISO, IUPAC, IUPAP, OIML: Evaluation of Measurement Data - Guide to the Expression of Uncertainty in Measurement (GUM) (September 2008)"},{"key":"15_CR4","doi-asserted-by":"publisher","unstructured":"Blair, G., Bencomo, N., France, R.B.: Models@ run.time. Computer 42(10), 22\u201327 (2009). https:\/\/doi.org\/10.1109\/MC.2009.326","DOI":"10.1109\/MC.2009.326"},{"key":"15_CR5","unstructured":"Boscher, S., et al.: Symbiotic Autonomous Systems: White Paper III. Tech. rep, IEEE DigitalReality (November 2019)"},{"key":"15_CR6","doi-asserted-by":"publisher","unstructured":"Burgue\u00f1o, L., Bertoa, M.F., Moreno, N., Vallecillo, A.: Expressing confidence in models and in model transformation elements. In: Proceedings of the 21th ACM\/IEEE International Conference on Model Driven Engineering Languages and Systems, pp. 57\u201366. ACM, Copenhagen Denmark (Oct 2018). https:\/\/doi.org\/10.1145\/3239372.3239394","DOI":"10.1145\/3239372.3239394"},{"key":"15_CR7","doi-asserted-by":"publisher","unstructured":"Calinescu, R., Mirandola, R., Perez-Palacin, D., Weyns, D.: Understanding uncertainty in self-adaptive systems. In: 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), pp. 242\u2013251. IEEE, Washington, DC, USA (August 2020). https:\/\/doi.org\/10.1109\/ACSOS49614.2020.00047","DOI":"10.1109\/ACSOS49614.2020.00047"},{"key":"15_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1007\/978-3-319-08915-7_4","volume-title":"Models@run.time","author":"BHC Cheng","year":"2014","unstructured":"Cheng, B.H.C., et al.: Using models at runtime to address assurance for self-adaptive systems. In: Bencomo, N., France, R., Cheng, B.H.C., A\u00dfmann, U. (eds.) Models@run.time. LNCS, vol. 8378, pp. 101\u2013136. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-08915-7_4"},{"key":"15_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1007\/978-3-319-74781-1_35","volume-title":"Software Engineering and Formal Methods","author":"J C\u00e1mara","year":"2018","unstructured":"C\u00e1mara, J., Peng, W., Garlan, D., Schmerl, B.: Reasoning about sensing uncertainty in decision-making for self-adaptation. In: Cerone, A., Roveri, M. (eds.) SEFM 2017. LNCS, vol. 10729, pp. 523\u2013540. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-74781-1_35"},{"key":"15_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1007\/978-3-642-35813-5_9","volume-title":"Software Engineering for Self-Adaptive Systems II","author":"N Esfahani","year":"2013","unstructured":"Esfahani, N., Malek, S.: Uncertainty in self-adaptive software systems. In: de Lemos, R., Giese, H., M\u00fcller, H.A., Shaw, M. (eds.) Software Engineering for Self-Adaptive Systems II. LNCS, vol. 7475, pp. 214\u2013238. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-35813-5_9"},{"key":"15_CR11","doi-asserted-by":"publisher","unstructured":"Garlan, D.: Software engineering in an uncertain world. In: Proceedings of the FSE\/SDP Workshop on Future of Software Engineering Research - FoSER 2010. p. 125. ACM Press, Santa Fe, New Mexico, USA (2010). https:\/\/doi.org\/10.1145\/1882362.1882389","DOI":"10.1145\/1882362.1882389"},{"issue":"30","key":"15_CR12","doi-asserted-by":"publisher","first-page":"17491","DOI":"10.1073\/pnas.2003162117","volume":"117","author":"D Harel","year":"2020","unstructured":"Harel, D., Marron, A., Sifakis, J.: Autonomics: In search of a foundation for next-generation autonomous systems. Proc. Natl. Acad. Sci. 117(30), 17491\u201317498 (2020). https:\/\/doi.org\/10.1073\/pnas.2003162117","journal-title":"Proc. Natl. Acad. Sci."},{"key":"15_CR13","doi-asserted-by":"publisher","unstructured":"Kinneer, C., Coker, Z., Wang, J., Garlan, D.: Managing uncertainty in self-adaptive systems with plan reuse and stochastic search. In: Proceedings of the 13th International Conference on Software Engineering for Adaptive and Self-Managing Systems, p. 11 (2018). https:\/\/doi.org\/10.1145\/3194133.3194145","DOI":"10.1145\/3194133.3194145"},{"key":"15_CR14","doi-asserted-by":"publisher","unstructured":"Mahdavi-Hezavehi, S., Avgeriou, P., Weyns, D.: A classification framework of uncertainty in architecture-based self-adaptive systems with multiple quality requirements. In: Managing Trade-Offs in Adaptable Software Architecture, pp. 45\u201377. Elsevier (2017). https:\/\/doi.org\/10.1016\/B978-0-12-802855-1.00003-4","DOI":"10.1016\/B978-0-12-802855-1.00003-4"},{"issue":"4","key":"15_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3487921","volume":"15","author":"S Mahdavi-Hezavehi","year":"2020","unstructured":"Mahdavi-Hezavehi, S., Weyns, D., Avgeriou, P., Calinescu, R., Mirandola, R., Perez-Palacin, D.: Uncertainty in self-adaptive systems: a research community perspective. ACM Trans. Autono. Adapt. Syst. 15(4), 1\u201336 (2020). https:\/\/doi.org\/10.1145\/3487921","journal-title":"ACM Trans. Autono. Adapt. Syst."},{"key":"15_CR16","doi-asserted-by":"publisher","unstructured":"Moreno, G.A., Camara, J., Garlan, D., Schmerl, B.: Efficient decision-making under uncertainty for proactive self-adaptation. In: 2016 IEEE International Conference on Autonomic Computing (ICAC), pp. 147\u2013156. IEEE, Wurzburg (July 2016). https:\/\/doi.org\/10.1109\/ICAC.2016.59","DOI":"10.1109\/ICAC.2016.59"},{"key":"15_CR17","doi-asserted-by":"publisher","unstructured":"Moreno, G.A., C\u00e1mara, J., Garlan, D., Klein, M.: Uncertainty reduction in self-adaptive systems. In: Proceedings of the 13th International Conference on Software Engineering for Adaptive and Self-Managing Systems, pp. 51\u201357. ACM, Gothenburg Sweden (May 2018). https:\/\/doi.org\/10.1145\/3194133.3194144","DOI":"10.1145\/3194133.3194144"},{"key":"15_CR18","doi-asserted-by":"publisher","unstructured":"Palmerino, J., Yu, Q., Desell, T., Krutz, D.: Improving the decision-making process of self-adaptive systems by accounting for tactic volatility. In: 2019 34th IEEE\/ACM International Conference on Automated Software Engineering (ASE), pp. 949\u2013961. IEEE, San Diego, CA, USA (November 2019). https:\/\/doi.org\/10.1109\/ASE.2019.00092","DOI":"10.1109\/ASE.2019.00092"},{"key":"15_CR19","doi-asserted-by":"publisher","unstructured":"Perez-Palacin, D., Mirandola, R.: Uncertainties in the modeling of self-adaptive systems: a taxonomy and an example of availability evaluation. In: Proceedings of the 5th ACM\/SPEC International Conference on Performance Engineering. pp. 3\u201314. ACM, Dublin Ireland (March 2014). https:\/\/doi.org\/10.1145\/2568088.2568095","DOI":"10.1145\/2568088.2568095"},{"key":"15_CR20","doi-asserted-by":"publisher","unstructured":"Ramirez, A.J., Jensen, A.C., Cheng, B.H.C.: A taxonomy of uncertainty for dynamically adaptive systems. In: 2012 7th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), pp. 99\u2013108 (June 2012). https:\/\/doi.org\/10.1109\/SEAMS.2012.6224396","DOI":"10.1109\/SEAMS.2012.6224396"},{"key":"15_CR21","doi-asserted-by":"publisher","unstructured":"Solano, G.F., Caldas, R.D., Rodrigues, B.N., Vogel, T., Pelliccione, P.: Taming uncertainty in the assurance process of self-adaptive systems: a goal-oriented approach. In: Proceedings of the 2019 IEEE\/ACM 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems SEAMS 2019. p. 11 (May 2019). https:\/\/doi.org\/10.1109\/SEAMS.2019.00020","DOI":"10.1109\/SEAMS.2019.00020"},{"key":"15_CR22","doi-asserted-by":"publisher","unstructured":"Trapp, M., Schneider, D., Weiss, G.: Towards safety-awareness and dynamic safety management. In: 2018 14th European Dependable Computing Conference (EDCC), pp. 107\u2013111. IEEE (2018). https:\/\/doi.org\/10.1109\/EDCC.2018.00027","DOI":"10.1109\/EDCC.2018.00027"},{"issue":"4","key":"15_CR23","doi-asserted-by":"publisher","first-page":"1183","DOI":"10.1007\/s10270-020-00842-1","volume":"20","author":"J Troya","year":"2021","unstructured":"Troya, J., Moreno, N., Bertoa, M.F., Vallecillo, A.: Uncertainty representation in software models: a survey. Softw. Syst. Model. 20(4), 1183\u20131213 (2021). https:\/\/doi.org\/10.1007\/s10270-020-00842-1","journal-title":"Softw. Syst. Model."}],"container-title":["Lecture Notes in Computer Science","Software Architecture. ECSA 2022 Tracks and Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-36889-9_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,15]],"date-time":"2023-07-15T21:03:06Z","timestamp":1689454986000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-36889-9_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031368882","9783031368899"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-36889-9_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"16 July 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Software Architecture","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Prague","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Czech Republic","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecsa2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conf.researchr.org\/home\/ecsa-2022","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"61","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"26","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"43% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2 tutorial papers","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}