We carry out a syntactic analysis of two stateof-the-art sentiment analyzers, Google Cloud Natural Language and Stanford CoreNLP, to assess their classification accuracy on sentences with negative polarity items.We were motivated by the absence of studies investigating sentiment analyzer performance on sentences with polarity items, a common construct in human language.Our analysis focuses on two sentential structures: downward entailment and non-monotone quantifiers; and demonstrates weaknesses of Google Natural Language and CoreNLP in capturing polarity item information.We describe the particular syntactic phenomenon that these analyzers fail to understand that any ideal sentiment analyzer must.We also provide a set of 150 test sentences that any ideal sentiment analyzer must be able to understand.

The greater versatility and increasingly smaller sizes of computing, sensing, and networking devices have resulted in a new computing paradigm called Cyber-Physical Systems (CPSs), which integrates computation and sensing into physical processes producing a wealth of exciting applications in many domains of life, such as transportation, medicine, and agriculture. In order to equip students with the essential knowledge and skills to be successful in the future, this paradigm requires an expansion in the scope of computer science curricula to enable students to understand and overcome the complexity inherent in CPSs. In this paper, we describe our experience with teaching CPS via a set of course modules that rely heavily on modeling and verification. By using the popular Android platform, we aim to engage students to successfully build CPS applications while enhancing their understanding of intellectually challenging concepts.

Mixed-signal designs integrate digital and analog circuits which complicates the already difficult verification problem. This paper presents a model, labeled hybrid Petri nets (LHPNs), that is developed to model this heterogeneous set of components. To support formal verification, this paper presents an efficient zone-based state space exploration algorithm for LHPNs. This algorithm uses a process known as warping which allows zones to describe continuous variables changing at variable rates. Finally, this paper describes the application of this algorithm to analog/mixed-signal circuit examples.

This paper presents two symbolic model checking algorithms for the verification of analog/mixed-signal circuits. The first model checker utilizes binary decision diagrams while the second is a bounded model checker that uses a satisfiability modulo theory solver. Both methods have been implemented, and preliminary results are promising.

This paper presents a Boolean based symbolic model checking algorithm for the verification of analog/mixed-signal (AMS) circuits. The systems are modeled in VHDL-AMS, a hardware description language for AMS circuits. The VHDL-AMS description is compiled into labeled hybrid Petri nets (LH-PNs) in which analog values are modeled as continuous variables that can change at rates in a bounded range and digital values are modeled using Boolean signals. System properties are specified as temporal logic formulas using timed CTL (TCTL). The verification proceeds over the structure of the formula and maps separation predicates to Boolean variables. The state space is thus represented as a Boolean function using a binary decision diagram (BDD) and the verification algorithm relies on the efficient use of BDD operations.

System on a chip design results in the integration of digital, analog, and mixed-signal circuits on the same substrate which further complicates the already difficult validation problem. This paper presents a new model, labeled hybrid Petri nets (LHPNs), that is developed to be capable of modeling such a heterogeneous set of components. This paper also describes a compiler from VHDL-AMS to LHPNs. To support formal verification, this paper presents an efficient zone-based state space exploration algorithm for LHPNs. This algorithm uses a process known as warping to allow zones to describe continuous variables that may be changing at variable rates. Finally, this paper describes the application of this algorithm to a couple of analog/mixed-signal circuit examples.

This paper presents a method to address state explosion in timed-circuit verification by using abstraction directed by the failure model. This method allows us to decompose the verification problem into a set of subproblems, each of which proves that a specific failure condition does not occur. To each subproblem, abstraction is applied using safe transformations to reduce the complexity of verification. The abstraction preserves all essential behaviors conservatively for the specific failure model in the concrete description. Therefore, no violations of the given failure model are missed when only the abstract description is analyzed. An algorithm is also shown to examine the abstract error trace to either find a concrete error trace or report that it is a false negative. This paper presents results using the proposed failure-directed abstractions as applied to several large timed-circuit designs.

We present a method to address state explosion in timed circuit verification by using abstraction directed by the failure model. This method allows us to decompose the verification problem into a set of subproblems, each of which proves that a specific failure condition does not occur. To each subproblem, abstraction is applied using safe transformations to reduce the complexity of verification. The abstraction preserves all essential behaviors conservatively for the specific failure model in the concrete description. Therefore, no violations of the given failure model are missed when only the abstract description is analyzed. An algorithm is also shown to examine the abstract error trace to either find a concrete error trace or report that it is a false negative. We present results using the proposed failure directed abstractions as applied to two large timed circuit designs.