Adapting Behaviors via Reactive Synthesis

Gal Amram, Suguman Bansal, Dror Fried, Lucas Martinelli Tabajara, Moshe Y. Vardi, Gera Weiss

פרסום מחקרי: פרק בספר / בדוח / בכנספרסום בספר כנסביקורת עמיתים

תקציר

In the Adapter Design Pattern, a programmer implements a Target interface by constructing an Adapter that accesses an existing Adaptee code. In this work, we present a reactive synthesis interpretation to the adapter design pattern, wherein an algorithm takes an Adaptee and a Target transducers, and the aim is to synthesize an Adapter transducer that, when composed with the Adaptee, generates a behavior that is equivalent to the behavior of the Target. One use of such an algorithm is to synthesize controllers that achieve similar goals on different hardware platforms. While this problem can be solved with existing synthesis algorithms, current state-of-the-art tools fail to scale. To cope with the computational complexity of the problem, we introduce a special form of specification format, called Separated GR(k), which can be solved with a scalable synthesis algorithm but still allows for a large set of realistic specifications. We solve the realizability and the synthesis problems for Separated GR(k), and show how to exploit the separated nature of our specification to construct better algorithms, in terms of time complexity, than known algorithms for GR(k) synthesis. We then describe a tool, called SGR(k), that we have implemented based on the above approach and show, by experimental evaluation, how our tool outperforms current state-of-the-art tools on various benchmarks and test-cases.

שפה מקוריתאנגלית
כותר פרסום המארחComputer Aided Verification - 33rd International Conference, CAV 2021, Proceedings
עורכיםAlexandra Silva, K. Rustan Leino
מוציא לאורSpringer Science and Business Media Deutschland GmbH
עמודים870-893
מספר עמודים24
מסת"ב (מודפס)9783030816841
מזהי עצם דיגיטלי (DOIs)
סטטוס פרסוםפורסם - 2021
אירוע33rd International Conference on Computer Aided Verification, CAV 2021 - Virtual, Online
משך הזמן: 20 יולי 202123 יולי 2021

סדרות פרסומים

שםLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
כרך12759 LNCS
ISSN (מודפס)0302-9743
ISSN (אלקטרוני)1611-3349

כנס

כנס33rd International Conference on Computer Aided Verification, CAV 2021
עירVirtual, Online
תקופה20/07/2123/07/21

הערה ביבליוגרפית

Publisher Copyright:
© 2021, The Author(s).

טביעת אצבע

להלן מוצגים תחומי המחקר של הפרסום 'Adapting Behaviors via Reactive Synthesis'. יחד הם יוצרים טביעת אצבע ייחודית.

פורמט ציטוט ביבליוגרפי