TY - GEN
T1 - Mutation analysis of stateflow to improve the modelling analysis
AU - Goyal, Prachi
AU - Nanda, Manju
AU - Jayanthi, J.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Formal methods possess great analyzing capability that has led to an increasing use by engineers in the development and verification-validation life-cycle of hardware and software critical systems. Mutation Analysis has been very effective in model design and safety analysis. In this paper primary idea is to integrate the mutation analysis of stateflow to the Integrated Mutation Analysis Tool. This enhanced property of the IMAT tool after integration will be able to analyze the functionalities of stateflow models of the highly critical systems. The effectiveness of the Stateflow mutation analysis can be validated using the case-study of Autopilot Mode Transition Logic.
AB - Formal methods possess great analyzing capability that has led to an increasing use by engineers in the development and verification-validation life-cycle of hardware and software critical systems. Mutation Analysis has been very effective in model design and safety analysis. In this paper primary idea is to integrate the mutation analysis of stateflow to the Integrated Mutation Analysis Tool. This enhanced property of the IMAT tool after integration will be able to analyze the functionalities of stateflow models of the highly critical systems. The effectiveness of the Stateflow mutation analysis can be validated using the case-study of Autopilot Mode Transition Logic.
UR - http://www.scopus.com/inward/record.url?scp=85028336933&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028336933&partnerID=8YFLogxK
U2 - 10.1007/978-981-10-5427-3_19
DO - 10.1007/978-981-10-5427-3_19
M3 - Conference contribution
AN - SCOPUS:85028336933
SN - 9789811054266
T3 - Communications in Computer and Information Science
SP - 173
EP - 182
BT - Advances in Computing and Data Sciences - 1st International Conference, ICACDS 2016, Revised Selected Papers
PB - Springer Verlag
T2 - 1st International Conference on Advances in Computing and Data Sciences, ICACDS 2016
Y2 - 11 November 2016 through 12 November 2016
ER -