TY - GEN
T1 - InDoCaS
T2 - 2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019
AU - Canelon, Rodolfo
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - This article proposes a process for domain engineering in software production lines based on Software quality called InDoCaS. The main disciplines of this process are the analysis, design and implementation of the domain. The process proposed here can be used in the software production line development approach and can be instantiated for a specific domain and the produced software assets can be reused to generate a product from a particular domain family. The concepts of: development processes, reuse of software assets, domain engineering, variability models, software production lines and Bayesian learning techniques are applied to define the way in which these applications are adapted at runtime to the applications. environment changes. These software variability and adaptability requirements represent an interesting challenge within software engineering.}{The contribution of this paper to the area of software development based on software production lines is to propose a process for domain engineering with a quality approach that will allow the specification of the quality requirements of the domain application families to be formalized, presenting details about the activities of analysis, design and implementation of the base architecture and its refinement.
AB - This article proposes a process for domain engineering in software production lines based on Software quality called InDoCaS. The main disciplines of this process are the analysis, design and implementation of the domain. The process proposed here can be used in the software production line development approach and can be instantiated for a specific domain and the produced software assets can be reused to generate a product from a particular domain family. The concepts of: development processes, reuse of software assets, domain engineering, variability models, software production lines and Bayesian learning techniques are applied to define the way in which these applications are adapted at runtime to the applications. environment changes. These software variability and adaptability requirements represent an interesting challenge within software engineering.}{The contribution of this paper to the area of software development based on software production lines is to propose a process for domain engineering with a quality approach that will allow the specification of the quality requirements of the domain application families to be formalized, presenting details about the activities of analysis, design and implementation of the base architecture and its refinement.
KW - domain engineering
KW - quality models
KW - software architecture
KW - software engineering
KW - software production lines
UR - https://www.scopus.com/pages/publications/85081056643
U2 - 10.1109/CHILECON47746.2019.8988095
DO - 10.1109/CHILECON47746.2019.8988095
M3 - Conference contribution
AN - SCOPUS:85081056643
T3 - IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019
BT - IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 November 2019 through 27 November 2019
ER -