Computer Science

Computer Science ›› 2020, Vol. 47 ›› Issue (6): 24-31.doi: 10.11896/jsjkx.191100187

• Intelligent Software Engineering • Previous Articles     Next Articles

Model of Embedded Software for Solving Concurrent Defects

CUI Kai1, ZHAO Guo-liang2, ZHOU Kuan-jiu1, LI Ming-chu1   

  1. 1 School of Software,Dalian University of Technology,Dalian,Liaoning 116620,China
    2 School of Software & Microelectronics,Peking University,Beijing 102600,China
  • Received:2019-11-25 Online:2020-06-15 Published:2020-06-10
  • About author:CUI Kai,born in 1983,Ph.D candidate.His main research interests include software testing,software reliability and formal method.
    ZHOU Kuan-jiu,born in 1966,PH.D,professor,is a member of China Computer Federation.His main research interests include formal method,model checking and software reliability.
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61872052,61772113,61733002) and Fundamental Research Funds for the Central Universities of Ministry of Education of China (DUT2019ZD104)

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Abstract: Randomicity and nondeterminism of programs such as interrupts nesting or threads interleaving in embedded software can lead to concurrent defects such as data race and atomicity violations.Meanwhile,the insidious programming errors are difficult to restore and rebuild.Aiming at the concurrent defects of data race and atomicity violations in embedded software,a thin interrupt service routine (thin ISR) method is proposed in this paper.By using the state transition matrix (STM) to model,the program segments relatedto accessing shared variables in the interrupt processing program are migrated to the main program.The interrupt handler is only responsible for storing the external interrupt request data in the buffer,and the function of interrupt services is executed in the main program.Then the corresponding C codes are generated by the STM model.This method can efficiently avoid the happening of concurrent defects,such as data race and atomicity violations.Finally,queuing theory method is used to simulatethe arrival time and the departure time of the interrupt.Experimental results verify that this approach is feasible and effective in solving data race and atomicity violations.

Key words: Atomicity violation, Data race, Interrupt nesting, State transition matrix, Thin interrupt service routine

CLC Number: 

  • TP306
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