Abstract
Petri nets are widely used to model concurrent software systems. Currently, there are many different kinds of Petri net tools that can analyze system properties such as deadlocks, reachability and liveness. However, most tools are not suitable to analyze data-flow errors of concurrent systems because they do not formalize data information and lack efficient computing methods for analyzing data-flows. Especially when a concurrent system has so many concurrent data operations, these Petri net tools easily suffer from the state–space explosion problem and pseudo-states. To alleviate these problems, we develop a new model checker DICER 2.0. By using this tool, we can model the control-flows and data-flows of concurrent software systems. Moreover, the errors of data inconsistency can be detected based on the unfolding techniques, and some model-checking can be done via the guard-driven reachability graph (GRG). Furthermore, some case studies and experiments are done to show the effectiveness and advantage of our tool.
Highlights
Concurrent software systems are widely used in our daily life
Besides the model-checking based on guard-driven reachability graph (GRG) of WFD-nets, DICER 2.0 can be used to detect errors of data inconsistency based on the unfolding techniques of PD-nets
Data-flow analysis plays an important role in the correctness verification of concurrent software systems
Summary
Concurrent software systems are widely used in our daily life. In particular, they are successfully applied in so many safety-critical scenarios, e.g., health-care, intelligent traffic, and stock exchange. It is greatly suitable to model the control-flows and data-flows of a concurrent system and much smaller than other Petri nets with data-operation arcs (e.g., contextual net and PN-DO) in the scales of nodes and arcs [48] This modeling method has been widely applied to various model-checking, e.g., detecting data-flow errors [4] and data inconsistency in the migrations of service cases [28], checking data inaccuracy [50] and completed requirements [27], and verifying may/must soundness of workflow systems [25]. We can formalize the control-/data-flows of concurrent systems It provides a series of model-checking based on the guard-driven methods and unfolding techniques
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