DocumentCode :
2833608
Title :
Extreme formal modeling (XFM) for hardware models
Author :
Suhaib, Syed ; Mathaikutty, Deepak ; Shukla, Sandeep ; Berner, David
Author_Institution :
FERMAT Lab, Virginia Polytech. & State Univ., Backsburg, VA, USA
fYear :
2004
fDate :
9-10 Sept. 2004
Firstpage :
30
Lastpage :
35
Abstract :
In this paper, we show the usefulness of an agile formal method (named XFM) based on extreme programming concepts to construct abstract models from a natural language specification of a complex system. Building formal models for verification purposes is being employed in the industry for two different usage modes: (i) descriptive formal models (DFM) which, are used to capture an implementation into an abstract model to submit to analysis by model checking tools, (ii) prescriptive formal models (PFM) which, are used to capture natural language specifications into a formal model to analyze consistency of the specification and also as a reference model to compare a DFM against it. We propose XFM as a methodology to incrementally build a correct PFM from a natural language specification. In this paper, using XFM, on various examples related to microprocessors, we build the models of DLX pipeline in SPIN, the ISA bus monitor and arbitration phase of the Pentium Pro bus in SMV.
Keywords :
formal specification; formal verification; logic design; microprocessor chips; natural languages; system buses; DLX pipeline; ISA bus monitor; Pentium Pro bus; SMV; SPIN; XFM; agile formal method; complex system; descriptive formal models; extreme formal modeling; extreme programming; hardware models; model checking tools; natural language specification; prescriptive formal models; Automata; Design for manufacture; Hardware; Instruction sets; Mathematical programming; Microprocessors; Monitoring; Natural languages; Pipelines; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microprocessor Test and Verification (MTV'04), Fifth International Workshop on
ISSN :
1550-4093
Print_ISBN :
0-7695-2320-X
Type :
conf
DOI :
10.1109/MTV.2004.8
Filename :
1563070
Link To Document :
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