{"title":"非确定性有限状态机预设判别实验的并行实现","authors":"A. Haddad, K. El-Fakih, G. Barlas","doi":"10.1109/ICMSAO.2017.7934857","DOIUrl":null,"url":null,"abstract":"Derivation of input sequences for distinguishing states of a finite state machine (FSM) specification is well studied in the context of FSM-based functional testing. We present a parallel multithreaded implementation of the exact algorithm using Open Multi-Processing (OpenMP). Experiments are conducted to assess the performance of the parallel implementation as compared to the sequential implementation using both execution time speedup and efficiency.","PeriodicalId":265345,"journal":{"name":"2017 7th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Parallel implementation for deriving preset distinguishing experiments of nondeterministic finite state machines\",\"authors\":\"A. Haddad, K. El-Fakih, G. Barlas\",\"doi\":\"10.1109/ICMSAO.2017.7934857\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Derivation of input sequences for distinguishing states of a finite state machine (FSM) specification is well studied in the context of FSM-based functional testing. We present a parallel multithreaded implementation of the exact algorithm using Open Multi-Processing (OpenMP). Experiments are conducted to assess the performance of the parallel implementation as compared to the sequential implementation using both execution time speedup and efficiency.\",\"PeriodicalId\":265345,\"journal\":{\"name\":\"2017 7th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 7th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMSAO.2017.7934857\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMSAO.2017.7934857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parallel implementation for deriving preset distinguishing experiments of nondeterministic finite state machines
Derivation of input sequences for distinguishing states of a finite state machine (FSM) specification is well studied in the context of FSM-based functional testing. We present a parallel multithreaded implementation of the exact algorithm using Open Multi-Processing (OpenMP). Experiments are conducted to assess the performance of the parallel implementation as compared to the sequential implementation using both execution time speedup and efficiency.