Abstraction Refinement for Large Scale Model Checking (Integrated Circuits and Systems) - Softcover

Wang, Chao; Hachtel, Gary D.; Somenzi, Fabio

Softcover

ISBN 10: 1489993959 ISBN 13: 9781489993953

Verlag: Springer, 2014

Inhaltsangabe

The techniques proposed in this book are fully automatic and are crucial at improving the performance of abstraction refinement.  Their application to model checking can significantly increase the model checker's ability to handle large designs.  Our experimental studies on some real-world benchmark circuits indicate that these automatic abstraction refinement techniques are the key to applying model checking to industrial-scale systems.

Über diesen Titel

Über die Autorin bzw. den Autor

Chao Wang, Ph.D., is a Professor in the Department of Mathematics at Yunnan Univer-

sity. Dr. Wang has authored the books Theory of Translation Closedness for Time Scales and

Combined Measure and Shift Invariance Theory of Time Scales and Applications, both published

by Springer. His research focuses on the fields of nonlinear dynamic systems, control

theory, fuzzy dynamic equations, fractional differential equations, bifurcation theory,

nonlinear analysis, and numerical modeling.

Ravi P. Agarwal, Ph.D., is a Professor in the Department of Mathematics at the Texas A&M University-Kingsville. He completed his Ph.D. at the Indian Institute of Technology, Madras, India, in 1973. Dr. Agarwal has authored or co-authored 50 books and 1,750 research articles. His research interests include nonlinear analysis, differential and difference equations, fixed point theory, and generalinequalities.

Von der hinteren Coverseite

Abstraction Refinement for Large Scale Model Checking summarizes recent research on abstraction techniques for model checking large digital systems.  Considering both the size of today's digital systems and the capacity of state-of-the-art verification algorithms, abstraction is the only viable solution for the successful application of model checking techniques to industrial-scale designs.  This book describes recent research developments in automatic abstraction refinement techniques.  The authors address the main challenge in abstraction refinement, i.e., the ability to efficiently reach or come close to the optimum abstraction (the smallest abstract model that proves or refutes the given property).  A suite of fully automatic abstraction techniques are proposed to improve the overall computation efficiency.  The suite of algorithms presented in this book has demonstrated significant improvement over the prior art; some of them have already been adopted by the EDA companies in their commercial/in-house verification tools.

Abstraction Refinement for Large Scale Model Checking will be of interest to EDA researchers and tool developers, verification engineers, as well as people who are in the general areas of computer science and want to know the state-of-the-art of formal verification.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2014
• Sprache: Englisch
• ISBN 10: 1489993959
• ISBN 13: 9781489993953
• Einband: Taschenbuch
• Anzahl der Seiten: 196
• Kontakt zum Hersteller: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Deutschland