Teaching and Learning Formal Methods
C. Neville Dean, Michael G. Hinchey
Morgan Kaufmann, 1996 - Computers - 285 pages
As computer systems continue to advance, the positions they hold in human society continue to gain power. Computers now control the flight of aircraft, the cooling systems in chemical plants, and feedback loops in nuclear reactors. Because of the vital roles these systems play, there has been growing concern about the reliability and safety of these advanced computers.
Formal methods are now widely recognized as the most successful means of assuring the reliability of complex computer systems. Because formal methods are being mandated in more and more international standards, it is critical that engineers, managers, and industrial project leaders are well trained and conversant in the application of these methods.
This book covers a broad range of issues relating to the pedagogy of formal methods. The contributors, all acknowledged experts, have based their contributions on extensive experiences teaching and applying formal methods in both academia and industry.The two editors, both well known in this area, propose various techniques that can help to dismiss myths that formal methods are difficult to use and hard to learn.
Teaching and Learning Formal Methods will be an indispensable text for educators in the fields of computer science, mathematics, software engineering, and electronic engineering as well as to management and product leaders concerned with trainingrecent graduates.
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abstract academic algebraic algorithm APCS exam application approach assignment axioms behavior boolean calculational components computer science concepts content analysis content analysis procedure correctness curriculum dack defined denotational denotational semantics derivation Dijkstra discrete mathematics dreq equations example experience f.x V f.y Floyd-Hoare logic formal methods formal specification formula function Garlan given Goguen graduates Gries hardware higher-order logic Hinchey imperative programs implementation integer introduced invariant LEARNING FORMAL METHODS math mathematical induction mathematical logic Moore method multiple-choice questions multiprogram natural numbers notation operation postcondition precondition predicate calculus problem professional programming language proof properties reasoning requirements role schema semantics semester sequence simple skills software development software engineering software systems statement station strongly related group structure taught teaching techniques temporal logic theorem theory true undergraduate understanding University variables verification Verilog Z notation