{"year":"2023","_id":"12856","alternative_title":["LNCS"],"quality_controlled":"1","doi":"10.1007/978-3-031-30826-0_15","has_accepted_license":"1","date_updated":"2023-04-25T07:19:07Z","author":[{"first_name":"Marek","last_name":"Chalupa","id":"87e34708-d6c6-11ec-9f5b-9391e7be2463","full_name":"Chalupa, Marek"},{"full_name":"Mühlböck, Fabian","first_name":"Fabian","last_name":"Mühlböck","orcid":"0000-0003-1548-0177","id":"6395C5F6-89DF-11E9-9C97-6BDFE5697425"},{"last_name":"Muroya Lei","id":"a376de31-8972-11ed-ae7b-d0251c13c8ff","first_name":"Stefanie","full_name":"Muroya Lei, Stefanie"},{"full_name":"Henzinger, Thomas A","orcid":"0000-0002-2985-7724","last_name":"Henzinger","id":"40876CD8-F248-11E8-B48F-1D18A9856A87","first_name":"Thomas A"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","related_material":{"record":[{"status":"public","relation":"earlier_version","id":"12407"}]},"acknowledgement":"This work was supported in part by the ERC-2020-AdG 101020093. The authors would like to thank the anonymous FASE reviewers for their valuable feedback and suggestions.","status":"public","publication_status":"published","license":"https://creativecommons.org/licenses/by/4.0/","month":"04","publication":"Fundamental Approaches to Software Engineering","citation":{"chicago":"Chalupa, Marek, Fabian Mühlböck, Stefanie Muroya Lei, and Thomas A Henzinger. “Vamos: Middleware for Best-Effort Third-Party Monitoring.” In Fundamental Approaches to Software Engineering, 13991:260–81. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-30826-0_15.","ama":"Chalupa M, Mühlböck F, Muroya Lei S, Henzinger TA. Vamos: Middleware for best-effort third-party monitoring. In: Fundamental Approaches to Software Engineering. Vol 13991. Springer Nature; 2023:260-281. doi:10.1007/978-3-031-30826-0_15","apa":"Chalupa, M., Mühlböck, F., Muroya Lei, S., & Henzinger, T. A. (2023). Vamos: Middleware for best-effort third-party monitoring. In Fundamental Approaches to Software Engineering (Vol. 13991, pp. 260–281). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-30826-0_15","ieee":"M. Chalupa, F. Mühlböck, S. Muroya Lei, and T. A. Henzinger, “Vamos: Middleware for best-effort third-party monitoring,” in Fundamental Approaches to Software Engineering, Paris, France, 2023, vol. 13991, pp. 260–281.","short":"M. Chalupa, F. Mühlböck, S. Muroya Lei, T.A. Henzinger, in:, Fundamental Approaches to Software Engineering, Springer Nature, 2023, pp. 260–281.","ista":"Chalupa M, Mühlböck F, Muroya Lei S, Henzinger TA. 2023. Vamos: Middleware for best-effort third-party monitoring. Fundamental Approaches to Software Engineering. FASE: Fundamental Approaches to Software Engineering, LNCS, vol. 13991, 260–281.","mla":"Chalupa, Marek, et al. “Vamos: Middleware for Best-Effort Third-Party Monitoring.” Fundamental Approaches to Software Engineering, vol. 13991, Springer Nature, 2023, pp. 260–81, doi:10.1007/978-3-031-30826-0_15."},"ddc":["000"],"volume":13991,"day":"20","page":"260-281","intvolume":" 13991","project":[{"grant_number":"101020093","_id":"62781420-2b32-11ec-9570-8d9b63373d4d","name":"Vigilant Algorithmic Monitoring of Software","call_identifier":"H2020"}],"date_created":"2023-04-20T08:29:42Z","language":[{"iso":"eng"}],"file_date_updated":"2023-04-25T07:16:36Z","publication_identifier":{"isbn":["9783031308253"],"eissn":["1611-3349"],"eisbn":["9783031308260"],"issn":["0302-9743"]},"article_processing_charge":"No","title":"Vamos: Middleware for best-effort third-party monitoring","department":[{"_id":"ToHe"}],"conference":{"location":"Paris, France","end_date":"2023-04-27","start_date":"2023-04-22","name":"FASE: Fundamental Approaches to Software Engineering"},"oa_version":"Published Version","date_published":"2023-04-20T00:00:00Z","oa":1,"ec_funded":1,"abstract":[{"text":"As the complexity and criticality of software increase every year, so does the importance of run-time monitoring. Third-party monitoring, with limited knowledge of the monitored software, and best-effort monitoring, which keeps pace with the monitored software, are especially valuable, yet underexplored areas of run-time monitoring. Most existing monitoring frameworks do not support their combination because they either require access to the monitored code for instrumentation purposes or the processing of all observed events, or both.\r\n\r\nWe present a middleware framework, VAMOS, for the run-time monitoring of software which is explicitly designed to support third-party and best-effort scenarios. The design goals of VAMOS are (i) efficiency (keeping pace at low overhead), (ii) flexibility (the ability to monitor black-box code through a variety of different event channels, and the connectability to monitors written in different specification languages), and (iii) ease-of-use. To achieve its goals, VAMOS combines aspects of event broker and event recognition systems with aspects of stream processing systems.\r\nWe implemented a prototype toolchain for VAMOS and conducted experiments including a case study of monitoring for data races. The results indicate that VAMOS enables writing useful yet efficient monitors, is compatible with a variety of event sources and monitor specifications, and simplifies key aspects of setting up a monitoring system from scratch.","lang":"eng"}],"type":"conference","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"publisher":"Springer Nature","file":[{"content_type":"application/pdf","relation":"main_file","file_name":"2023_LNCS_ChalupaM.pdf","checksum":"17a7c8e08be609cf2408d37ea55e322c","creator":"dernst","date_updated":"2023-04-25T07:16:36Z","file_size":580828,"date_created":"2023-04-25T07:16:36Z","success":1,"access_level":"open_access","file_id":"12865"}]}