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Hardness of deriving invertible sequences from finite state machines

Hierons, Robert M. (författare)
Department of Computer Science, Brunel University London, Uxbridge, United Kingdom
Mousavi, Mohammad Reza, 1978- (författare)
Högskolan i Halmstad,Centrum för forskning om inbyggda system (CERES)
Thomsen, Michael Kirkedal (författare)
Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
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Turker, Uraz Cengiz (författare)
Computer Engineering, Faculty of Engineering, Gebze Technical University, Kocaeli, Turkey
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 (creator_code:org_t)
2017-01-11
2017
Engelska.
Ingår i: SOFSEM 2017: SOFSEM 2017: Theory and Practice of Computer Science. - Heidelberg : Springer Berlin/Heidelberg. - 9783319519623 - 9783319519630 ; , s. 147-160
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
Stäng  
  • Many test generation algorithms use unique input/output sequences (UIOs) that identify states of the finite state machine specification M. However, it is known that UIO checking the existence of UIO sequences is PSPACE-complete. As a result, some UIO generation algorithms utilise what are called invertible sequences; these allow one to construct additional UIOs once a UIO has been found. We consider three optimisation problems associated with invertible sequences: deciding whether there is a (proper) invertible sequence of length at least K; deciding whether there is a set of invertible sequences for state set S′ that contains at most K input sequences; and deciding whether there is a single input sequence that defines invertible sequences that take state set S″ to state set S′. We prove that the first two problems are NP-complete and the third is PSPACE-complete. These results imply that we should investigate heuristics for these problems. © Springer International Publishing AG 2017.

Ämnesord

NATURVETENSKAP  -- Matematik -- Diskret matematik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Discrete Mathematics (hsv//eng)

Nyckelord

Software testing
Generation algorithm
Input sequence
NP Complete
Optimisation problems
PSPACE-complete
Single input
Test generation algorithm
Unique input/output sequences
Optimization

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