Handbook of Model Checking 是一本关于模型检查的综合性指南。

简介：
This handbook, encompassing 32 technical articles and the contributions of 76 distinct authors, constitutes a comprehensive postgraduate curriculum dedicated to the principles of Model Checking. Should a reader successfully demonstrate a thorough comprehension and diligent study of each and every article contained within, Springer Publishing should undoubtedly confer upon them a Master’s Degree in Model Checking! Academic departments specializing in Computer Science globally will undoubtedly appreciate access to this substantial and invaluable resource. Model Checking has emerged as a pivotal area of both research and development, spanning the verification of both hardware and software systems, due to a confluence of significant factors. Primarily, the enhanced speed and increased processing capabilities afforded by modern computers have rendered a wide array of problem-solving endeavors both feasible and computationally efficient. Furthermore, within the domain of Model Checking, advancements in model design methodologies have significantly contributed to the precise articulation of complex problems. Notably, we’ve observed remarkable improvements in the efficiency of SAT solvers—despite inherent theoretical constraints. In addition, the methodology underpinning Satisfiability Modulo Theories (SMT) has facilitated the discovery of highly effective strategies for formulating and resolving intricate problems. The incorporation of temporal logic and data-flow analysis techniques has also substantially enhanced the natural efficiency of model checking processes. Collectively, these advancements have played a crucial role in mitigating the persistent “state explosion problem.” The impetus to achieve more substantial progress has intensified as new applications across diverse sectors – including healthcare, transportation, security systems, and robotics – necessitate advancements within this field to realize greater scale, improved expressivity, and heightened automation capabilities. I wholeheartedly recommend that prospective Ph.D. candidates seriously consider pursuing research opportunities within this field; success in Model Checking frequently paves the way for future achievements across numerous areas within Computer Science. Finally, the recent devastating loss experienced by Helmut Veith represents a profound sorrow for his family, friends, colleagues, and students alike. Let us honor his memory by continuing to champion and expand this field—a domain in which he was poised to establish himself as a globally recognized leader. Contributions from Carnegie Mellon University’s Dana S. Scott along with those from the Department of Mathematics at the University of California, Berkeley are included herein.