TY - GEN
T1 - Managing [email protected] with a linguistic decision making approach
AU - Torres, Romina
AU - Astudillo, Hernan
N1 - Publisher Copyright:
© 2014 Anais do WER 2014 - Workshop em Engenharia de Requisitos. All rights reserved.
PY - 2014
Y1 - 2014
N2 - In the seminal work about requirements, Zave and Jackson established that if specification models hold the correctness criteria then, they can be used instead of requirements to make decisions (e.g. select an architectural configuration to implement requirements). Unfortunately, during runtime for systems under changing environments, domain assumptions may change and if they are not properly maintained (synchronized) the correctness criteria may becomes not useful to detect when the specification model is not anymore a valid representation of requirements. Thus, requirements may be violated but not properly detected. In order to avoid specification models become obsolete during runtime, we already proposed reify requirements into abstract specification models. In this paper we extend the correctness criteria to [email protected] and we propose specifically the linguistic decision making (LDM) models to represent these abstract models. We present an illustrative example of how our approach works. The main contribution of this approach is obtained during runtime, when the false negative rate error on determining when requirements are violated is reduced.
AB - In the seminal work about requirements, Zave and Jackson established that if specification models hold the correctness criteria then, they can be used instead of requirements to make decisions (e.g. select an architectural configuration to implement requirements). Unfortunately, during runtime for systems under changing environments, domain assumptions may change and if they are not properly maintained (synchronized) the correctness criteria may becomes not useful to detect when the specification model is not anymore a valid representation of requirements. Thus, requirements may be violated but not properly detected. In order to avoid specification models become obsolete during runtime, we already proposed reify requirements into abstract specification models. In this paper we extend the correctness criteria to [email protected] and we propose specifically the linguistic decision making (LDM) models to represent these abstract models. We present an illustrative example of how our approach works. The main contribution of this approach is obtained during runtime, when the false negative rate error on determining when requirements are violated is reduced.
KW - Correctness criteria
KW - Linguistic decision making models
KW - [email protected]
UR - http://www.scopus.com/inward/record.url?scp=85089124413&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85089124413
T3 - Anais do WER 2014 - Workshop em Engenharia de Requisitos
BT - Anais do WER 2014 - Workshop em Engenharia de Requisitos
A2 - Giachetti, Giovanni
A2 - Lucena, Marcia
PB - PUC-Rio, Pontificia Universidade Catolica do Rio de Janeiro
T2 - 17th Workshop em Engenharia de Requisitos, WER 2014 - 17th Requirements Engineering Workshop, WER 2014
Y2 - 23 April 2014 through 25 April 2014
ER -