TY - GEN
T1 - Combining goal models, expert elicitation, and probabilistic simulation for qualification of new technology
AU - Sabetzadeh, Mehrdad
AU - Falessi, Davide
AU - Briand, Lionel
AU - Di Alesio, Stefano
AU - McGeorge, Dag
AU - Åhjem, Vidar
AU - Borg, Jonas
PY - 2011
Y1 - 2011
N2 - New technologies typically involve innovative aspects that are not addressed by the existing normative standards and hence are not assessable through common certification procedures. To ensure that new technologies can be implemented in a safe and reliable manner, a specific kind of assessment is performed, which in many industries, e.g., the energy sector, is known as Technology Qualification (TQ). TQ aims at demonstrating with an acceptable level of confidence that a new technology will function within specified limits. Expert opinion plays an important role in TQ, both to identify the safety and reliability evidence that needs to be developed, and to interpret the evidence provided. Hence, it is crucial to apply a systematic process for eliciting expert opinions, and to use the opinions for measuring the satisfaction of a technology's safety and reliability objectives. In this paper, drawing on the concept of assurance cases, we propose a goal-based approach for TQ. The approach, which is supported by a software tool, enables analysts to quantitatively reason about the satisfaction of a technology's overall goals and further to identify the aspects that must be improved to increase goal satisfaction. The three main components enabling quantitative assessment are goal models, expert elicitation, and probabilistic simulation. We report on an industrial pilot study where we apply our approach for assessing a new offshore technology.
AB - New technologies typically involve innovative aspects that are not addressed by the existing normative standards and hence are not assessable through common certification procedures. To ensure that new technologies can be implemented in a safe and reliable manner, a specific kind of assessment is performed, which in many industries, e.g., the energy sector, is known as Technology Qualification (TQ). TQ aims at demonstrating with an acceptable level of confidence that a new technology will function within specified limits. Expert opinion plays an important role in TQ, both to identify the safety and reliability evidence that needs to be developed, and to interpret the evidence provided. Hence, it is crucial to apply a systematic process for eliciting expert opinions, and to use the opinions for measuring the satisfaction of a technology's safety and reliability objectives. In this paper, drawing on the concept of assurance cases, we propose a goal-based approach for TQ. The approach, which is supported by a software tool, enables analysts to quantitatively reason about the satisfaction of a technology's overall goals and further to identify the aspects that must be improved to increase goal satisfaction. The three main components enabling quantitative assessment are goal models, expert elicitation, and probabilistic simulation. We report on an industrial pilot study where we apply our approach for assessing a new offshore technology.
KW - Assurance cases
KW - Expert elicitation
KW - Goal modeling
KW - Monte Carlo simulation
KW - Technology Qualification
UR - http://www.scopus.com/inward/record.url?scp=84856520230&partnerID=8YFLogxK
U2 - 10.1109/HASE.2011.22
DO - 10.1109/HASE.2011.22
M3 - Conference contribution
AN - SCOPUS:84856520230
SN - 9780769546155
T3 - Proceedings of IEEE International Symposium on High Assurance Systems Engineering
SP - 63
EP - 72
BT - Proceedings - 2011 IEEE 13th International Symposium on High-Assurance Systems Engineering, HASE 2011
T2 - 13th IEEE International Symposium on High Assurance Systems Engineering, HASE 2011
Y2 - 10 November 2011 through 12 November 2011
ER -
