Amir Pnueli

Bio: Amir Pnueli is an academic researcher from Weizmann Institute of Science. The author has contributed to research in topics: Temporal logic & Model checking. The author has an hindex of 94, co-authored 331 publications receiving 43351 citations. Previous affiliations of Amir Pnueli include Cold Spring Harbor Laboratory & Harvard University.

The temporal logic of programs

Abstract: A unified approach to program verification is suggested, which applies to both sequential and parallel programs. The main proof method suggested is that of temporal reasoning in which the time dependence of events is the basic concept. Two formal systems are presented for providing a basis for temporal reasoning. One forms a formalization of the method of intermittent assertions, while the other is an adaptation of the tense logic system Kb, and is particularly suitable for reasoning about concurrent programs.

The temporal logic of reactive and concurrent systems

Abstract: Reactive systems are computing systems which are interactive, such as real-time systems, operating systems, concurrent systems and control systems. These are among the most difficult computing systems to program. Temporal logic is a formal tool/language which yields excellent results in specifying reactive systems, and this volume (the first of two), offers an introduction to temporal logic and to the computational model for reactive programs which has been developed by the authors.

On the synthesis of a reactive module

Abstract: @(x, y) is valid over all tree models. For the restricted case that all variables range over finite domains, the validity problem is decidable, and we present an algorithm for constructing the program whenever it exists. The algorithm is based on a new procedure for checking the emptiness of Rabin automata on infinite trees in time exponential in the number of pairs, but only polynomial in the number of states. This leads to a synthesis algorithm whose complexity is double exponential in the length of the given specification.

Temporal Verification of Reactive Systems: Safety

Abstract: 0: Preliminary Concepts.- 0.1 Fair Transition System.- 0.2 A Programming Language (SPL): Syntax.- 0.3 A Programming Language (SPL): Semantics.- 0.4 Modules.- 0.5 Temporal Logic.- 0.6 Specification of Properties.- 0.7 Overview of the Verification Framework.- Problems.- Bibliographic Remarks.- 1: Invariance: Proof Methods.- 1.1 Preliminary Notions.- 1.2 Invariance Rule.- 1.3 Finding Inductive Assertions: The Bottom-Up Approach.- 1.4 Finding Inductive Assertions: The Top-Down Approach.- 1.5 Refining Invariants.- Problems.- Bibliographic Remarks.- 2: Invariance: Applications.- 2.1 Parameterized Programs.- 2.2 Single-Resource Allocation.- 2.3 Multiple-Resource Allocation.- 2.4 Constructing Linear Invariants.- 2.5 Completeness.- 2.6 Finite-State Algorithmic Verification.- Problems.- Bibliographic Remarks.- 3: Precedence.- 3.1 Waiting-for Rule.- 3.2 Nested Waiting-for Rule.- 3.3 Verification Diagrams.- 3.4 Overtaking Analysis for a Resource Allocator.- * 3.5 Completeness.- * 3.6 Finite-State Algorithmic Verification.- Problems.- Bibliographic Remarks.- 4: General Safety.- 4.1 Invariance Rule for Past Formulas.- 4.2 Applications of the Past Invariance Rule.- 4.3 Compositional Verification.- 4.4 Causality Rule.- 4.5 Backward Analysis.- 4.6 Order-Preservation Properties.- 4.7 History Variables.- 4.8 Back-to Rule.- * 4.9 Completeness.- * 4.10 Finite-State Algorithmic Verification.- Problems.- Bibliographic Remarks.- 5: Algorithmic Verification of General Formulas.- 5.1 Satisfiability of a Temporal Formula.- 5.2 Satisfiability over a Finite-State Program.- 5.3 Validity over a Finite-State Program: Examples.- 5.4 Incremental Tableau Construction.- 5.5 Particle Tableaux.- Problems.- Bibliographic Remarks.- References.- Index to Symbols.- General Index.

Petri nets: Properties, analysis and applications

Abstract: Starts with a brief review of the history and the application areas considered in the literature. The author then proceeds with introductory modeling examples, behavioral and structural properties, three methods of analysis, subclasses of Petri nets and their analysis. In particular, one section is devoted to marked graphs, the concurrent system model most amenable to analysis. Introductory discussions on stochastic nets with their application to performance modeling, and on high-level nets with their application to logic programming, are provided. Also included are recent results on reachability criteria. Suggestions are provided for further reading on many subject areas of Petri nets. >

Model checking

Abstract: Turing Lecture from the winners of the 2007 ACM A.M. Turing Award. In 1981, Edmund M. Clarke and E. Allen Emerson, working in the USA, and Joseph Sifakis working independently in France, authored seminal papers that founded what has become the highly successful field of model checking. This verification technology provides an algorithmic means of determining whether an abstract model---representing, for example, a hardware or software design---satisfies a formal specification expressed as a temporal logic (TL) formula. Moreover, if the property does not hold, the method identifies a counterexample execution that shows the source of the problem. The progression of model checking to the point where it can be successfully used for complex systems has required the development of sophisticated means of coping with what is known as the state explosion problem. Great strides have been made on this problem over the past 28 years by what is now a very large international research community. As a result many major hardware and software companies are beginning to use model checking in practice. Examples of its use include the verification of VLSI circuits, communication protocols, software device drivers, real-time embedded systems, and security algorithms. The work of Clarke, Emerson, and Sifakis continues to be central to the success of this research area. Their work over the years has led to the creation of new logics for specification, new verification algorithms, and surprising theoretical results. Model checking tools, created by both academic and industrial teams, have resulted in an entirely novel approach to verification and test case generation. This approach, for example, often enables engineers in the electronics industry to design complex systems with considerable assurance regarding the correctness of their initial designs. Model checking promises to have an even greater impact on the hardware and software industries in the future. ---Moshe Y. Vardi, Editor-in-Chief

The temporal logic of programs

Abstract: A unified approach to program verification is suggested, which applies to both sequential and parallel programs. The main proof method suggested is that of temporal reasoning in which the time dependence of events is the basic concept. Two formal systems are presented for providing a basis for temporal reasoning. One forms a formalization of the method of intermittent assertions, while the other is an adaptation of the tense logic system Kb, and is particularly suitable for reasoning about concurrent programs.