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Talks and Poster Presentations (with Proceedings-Entry):

C. Menghi, C. Tsigkanos, T. Berger, P. Pelliccione:
"PsALM: Specification of Dependable Robotic Missions";
Talk: ICSE 2019 Demonstrations, Montreal, QC, Canada; 2019-05-25 - 2019-05-31; in: "2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings, ICSE-Companion 2019", IEEE, (2019), ISBN: 978-1-7281-1764-5; 99 - 102.



English abstract:
Engineering dependable software for mobile robots is becoming increasingly important. A core asset to engineering mobile robots is the mission specification - a description of the mission that mobile robots shall achieve. Mission specifications are used, among others, to synthesize, verify, simulate or guide the engineering of robot software. However, development of precise mission specifications is challenging, as engineers need to translate requirements into specification structures often expressed in a logical language - a laborious and error-prone task. Specification patterns, as solutions for recurrent specification problems have been recognized as a solution for this problem. Each pattern details the usage intent, known uses, relationships to other patterns, and---most importantly---a template mission specification in temporal logic. Patterns constitute reusable building blocks that can be used by engineers to create complex mission specifications while reducing mistakes. To this end, we describe PsALM, a toolchain supporting the development of dependable robotic missions. PsALM supports the description of mission requirements through specification patterns and allows automatic generation of mission specifications. PsALM produces specifications expressed in LTL and CTL temporal logics to be used by planners, simulators and model checkers, supporting systematic mission design.

The pattern catalog and PsALM is available on our dedicated website: www.roboticpatterns.com


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/ICSE-Companion.2019.00048


Created from the Publication Database of the Vienna University of Technology.