Termination analysis of probabilistic programs through Positivstellensatz's
We consider nondeterministic probabilistic programs with the most basic liveness property of
termination. We present efficient methods for termination analysis of nondeterministic …
termination. We present efficient methods for termination analysis of nondeterministic …
Cost analysis of nondeterministic probabilistic programs
We consider the problem of expected cost analysis over nondeterministic probabilistic
programs, which aims at automated methods for analyzing the resource-usage of such …
programs, which aims at automated methods for analyzing the resource-usage of such …
Sound and complete witnesses for template-based verification of LTL properties on polynomial programs
We study the classical problem of verifying programs with respect to formal specifications
given in the linear temporal logic (LTL). We first present novel sound and complete …
given in the linear temporal logic (LTL). We first present novel sound and complete …
Non-polynomial worst-case analysis of recursive programs
We study the problem of developing efficient approaches for proving worst-case bounds of
non-deterministic recursive programs. Ranking functions are sound and complete for …
non-deterministic recursive programs. Ranking functions are sound and complete for …
Automated recurrence analysis for almost-linear expected-runtime bounds
We consider the problem of developing automated techniques for solving recurrence
relations to aid the expected-runtime analysis of programs. The motivation is that several …
relations to aid the expected-runtime analysis of programs. The motivation is that several …
Parameterized and algebro-geometric advances in static program analysis
A Goharshady - 2020 - hal.science
In this thesis, we consider several of the most classical and fundamental problems in static
analysis and formal verification, including invariant generation, reachability analysis …
analysis and formal verification, including invariant generation, reachability analysis …
Synthesis of ranking functions via DNN
W Tan, Y Li - Neural Computing and Applications, 2021 - Springer
We propose a new approach to synthesis of non-polynomial ranking functions for loops via
deep neural network (DNN). Firstly, we construct a ranking function template by DNN …
deep neural network (DNN). Firstly, we construct a ranking function template by DNN …
Synthesizing nested ranking functions for loop programs via svm
Termination of programs is probably the most famous undecidable problem in computer
science. Despite this undecidability result, a lot of effort has been spent on improving …
science. Despite this undecidability result, a lot of effort has been spent on improving …
Reachable set estimation and safety verification of nonlinear systems via iterative sums of squares programming
W Lin, Z Yang, Z Ding - Journal of Systems Science and Complexity, 2022 - Springer
In this paper, the problems of forward reachable set estimation and safety verification of
uncertain nonlinear systems with polynomial dynamics are addressed. First, an iterative …
uncertain nonlinear systems with polynomial dynamics are addressed. First, an iterative …
Ranking function detection via SVM: a more general method
Y Yuan, Y Li - IEEE Access, 2019 - ieeexplore.ieee.org
The existence of a ranking function implies the termination of a loop. Different methods are
designed for detection of different classes of ranking functions. Moreover, for loops with …
designed for detection of different classes of ranking functions. Moreover, for loops with …