2022
DOI: 10.48550/arxiv.2205.12085
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Information Flow Guided Synthesis (Full Version)

Abstract: Compositional synthesis relies on the discovery of assumptions, i.e., restrictions on the behavior of the remainder of the system that allow a component to realize its specification. In order to avoid losing valid solutions, these assumptions should be necessary conditions for realizability. However, because there are typically many different behaviors that realize the same specification, necessary behavioral restrictions often do not exist. In this paper, we introduce a new class of assumptions for compositio… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
5
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(5 citation statements)
references
References 21 publications
(25 reference statements)
0
5
0
Order By: Relevance
“…The proof is inductive over the words v ∈ (2 Oe ) * and can be found in the full version of this paper [12]. Combining all definitions and theorems of the previous sections, we conclude with the following corollary.…”
Section: Definition 9 (Composition Of Hyper Implementations)mentioning
confidence: 56%
See 4 more Smart Citations
“…The proof is inductive over the words v ∈ (2 Oe ) * and can be found in the full version of this paper [12]. Combining all definitions and theorems of the previous sections, we conclude with the following corollary.…”
Section: Definition 9 (Composition Of Hyper Implementations)mentioning
confidence: 56%
“…Moreover, notice that both Δ p and ψ p are determined by p's specification ϕ p . The following theorem shows that the information flow assumption ψ p is a necessary condition, the proof can be found in the full version of this paper [12]. Theorem 1.…”
Section: Definition 2 (Information Flow Assumption)mentioning
confidence: 93%
See 3 more Smart Citations