Reducing State Explosion with Context Modeling for Model-Checking

Dhaussy, Philippe; Roger, Jean-Charles; Boniol, Frédéric

doi:10.1109/hase.2011.24

Cited by 19 publications

(13 citation statements)

References 10 publications

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“…Conversely to traditional techniques in which the surrounding environment is often implicitly modeled in the system (to obtain a closed system), in CaV, the environment is explicitly specified isolated from the model. In this context, the technique described in this paper offers one more tool besides the automatic context splitting for pushing the state‐space explosion limits and enabling full‐system verification on real‐world industrial systems.…”

Section: Related Workmentioning

confidence: 99%

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Past‐Free[ze] reachability analysis: reaching further with DAG‐directed exhaustive state‐space analysis

Teodorov

LeźRoux

Drey

et al. 2016

Software Testing Verif & Rel

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International audienceModel-checking enables the automated formal verification of software systems through the explicit enumeration of all the reachable states. While this technique has been successfully applied to industrial systems, it suffers from the state-space explosion problem because of the exponential growth in the number of states with respect to the number of interacting components. In this paper, we present a new reachability analysis algorithm, named Past-Free[ze], that reduces the state-space explosion problem by freeing parts of the state-space from memory. This algorithm relies on the explicit isolation of the acyclic parts of the system before analysis. The parallel composition of these parts drives the reachability analysis, the core of all model-checkers. During the execution, the past states of the system are freed from memory making room for more future states. To enable counter-example construction, the past states can be stored on external storage. To show the effectiveness of the approach, the algorithm was implemented in the OBP Observation Engine and was evaluated both on a synthetic benchmark and on realistic case studies from automotive and aerospace domains. The benchmark, composed of 50 test cases, shows that in average, 75% of the state-space can be dropped from memory thus enabling the exploration of up to 14 times more states than traditional approaches. Moreover, in some cases, the reachability analysis time can be reduced by up to 25%. In realistic settings, the use of Past-Free[ze] enabled the exploration of a state-space 4.5 times larger on the automotive case study, where almost 50% of the states are freed from memory. Moreover, this approach offers the possibility of analyzing an arbitrary number of interactions between the environment and the system-under-verification; for instance, in the case of the aerospace example, 1000 pilot/system interactions could be analyzed unraveling an 80 GB state-space using only 10 GB of memor

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Section: Related Workmentioning

confidence: 99%

“…besides the automatic context splitting [17] for pushing the state-space explosion limits and enabling full-system verification on real-world industrial systems.…”

Section: Related Workmentioning

confidence: 99%

Past‐Free[ze] reachability analysis: reaching further with DAG‐directed exhaustive state‐space analysis

Teodorov

LeźRoux

Drey

et al. 2016

Software Testing Verif & Rel

Self Cite

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“…In this area, contextaware verification has been introduced [6,7] as a technique of state space decomposition that enables compositional verification of requirements. The idea is to allow to explicit separately the behaviour of entities (actors) that interact with the system and its environment.…”

Section: Introductionmentioning

confidence: 99%

Context-aware approach for formal verification

Benabbou¹,

Bahloul²,

Philippe³

2016

EAI Endorsed Transactions on Context-aware Systems and Applicat

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The Context-aware approach has proven to be an effective technique for software model-checking verification. It focuses on the explicit modelling of environment as one or more contexts. In this area, specifying precise requirement is a challenged task for engineer since often environmental conditions lack of precision. A DSL, called CDL, has been proposed to facilitate the specification of requirement and context. However, such language is still low-level and error prone, difficult to grasp on complex models and assessment about its usability is still mitigated. In this paper, we propose a high level formalism of CDL to facilitate specifying contexts based on interaction overview diagrams that orchestrate activity diagrams automatically transformed from textual use cases. Our approach highlights the boundaries between the system and its environment. It is qualified as model-checking context-aware that aims to reduce the semantic gap between informal and formal requirements, hence the objective is to assist and encourage engineers to put sufficient details to accomplish effectively the specification process.

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“…Each solution aims to improve the performances in execution time and memory capacity. The approach proposed in [14] allows a distribution in the exploration of states when checking a model by the model checker SPIN [6,8]. The treatment is performed by exploiting a network of machines.…”

Section: Related Workmentioning

confidence: 99%