Combinatory process synthesis

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

We report on a type-theoretic method for functional synthesis of processes from repositories of components. Our method relies on the existing framework for composition synthesis based on combinatory logic, (CL)S. Simple types for BPMN 2.0 components and a taxonomy of domain specific concepts are used to assign types to BPMN 2.0 fragments and functional fragment constructors. Both serve as input for the automatic creation of meaningful processes. Staging synthesis into two levels provides a separation of concerns between the easy task of extracting fragments from existing processes and the more sophisticated task of deducing functional fragment transformations. We study the applicability of the described approach by synthesizing control processes for LEGO® Mindstorms® NXT robots deployed on the Activiti platform. We evaluate experimental results analyzing synthesized processes regarding correctness, variability and the time consumed for their creation by the (CL)S framework. Additionally, the steps necessary to target a different application domain are described.

OriginalsprogEngelsk
TitelLeveraging Applications of Formal Methods, Verification and Validation : Foundational Techniques - 7th International Symposium, ISoLA 2016, Proceedings
RedaktørerTiziana Margaria, Bernhard Steffen
Antal sider16
ForlagSpringer Verlag
Publikationsdato1 jan. 2016
Sider266-281
ISBN (Trykt)9783319471655
DOI
StatusUdgivet - 1 jan. 2016
Eksternt udgivetJa
Begivenhed7th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2016 - Imperial, Corfu, Grækenland
Varighed: 10 okt. 201614 okt. 2016

Konference

Konference7th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2016
LandGrækenland
ByImperial, Corfu
Periode10/10/201614/10/2016
NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind9952 LNCS
ISSN0302-9743

ID: 230703115