Crypto-currencies are digital assets designed to work as a medium of exchange, eg, Bitcoin,
but they are susceptible to attacks (dishonest behavior of participants). A framework for the …

The popular model checker PRISM has been successfully used for the modeling and
analysis of complex probabilistic systems. As one way to tackle the challenging state …

Within product lines, collections of several related products are defined through their
commonalities in terms of features rather than specifying them individually one-by-one. In …

The concept of quantiles is well-known in statistics, but its benefits for the formal quantitative
analysis of probabilistic systems have been noticed only recently. To compute quantiles in …

Plenty of novel emerging technologies are being proposed and evaluated today, mostly at
the device and circuit levels. It is unclear what the impact of different new technologies at the …

Abstract Consumption Markov Decision Processes (CMDPs) are probabilistic decision-
making models of resource-constrained systems. In a CMDP, the controller possesses a …

Probabilistic model checking (PMC) is a well-established and powerful method for the
automated quantitative analysis of parallel distributed systems. Classical PMC-approaches …

The paper addresses the problem of computing maximal conditional expected accumulated
rewards until reaching a target state (briefly called maximal conditional expectations) in finite …

The Skolem problem and the related Positivity problem for linear recurrence sequences are
outstanding number-theoretic problems whose decidability has been open for many …

This paper investigates a series of optimization problems for one-counter Markov decision
processes (MDPs) and integer-weighted MDPs with finite state space. Specifically, it …