TY - GEN
T1 - Multi-model Environment Generation and Tailoring Model for Software Process Improvement
AU - Gasca-Hurtado, Gloria Piedad
AU - Londoño, Jesús Andrés Hincapié
AU - Muñoz, Mirna
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Software development organizations take great risks when are faced with process improvement projects and the inclusion of best practices. Such risks include the selection of a standard, framework or model for the improvement process. Some organizations decide to integrate best practices from different sources to be non-dependent on a particular model, framework or standard. However, the integration of different models is an additional challenge since the complexity of the implementation increases as best practices come from different natures. Hence, we propose a model to generate and customize a multi-model environment for software process improvement. We intend to reduce the complexity of combining agile and traditional frameworks by generating a frameworks integration catalog, which, from heuristics, graphically represents the possible paths to follow for the process improvement project. We use design-based science for this research because of its focus on problem analysis in real-world environments. In this way, we can consolidate the model to customize and generate a multi-model environment for the implementation of best practices of different nature during an improvement process. We also define a proposal of organizational profiles, which will allow us to validate the model in a business case in future work.
AB - Software development organizations take great risks when are faced with process improvement projects and the inclusion of best practices. Such risks include the selection of a standard, framework or model for the improvement process. Some organizations decide to integrate best practices from different sources to be non-dependent on a particular model, framework or standard. However, the integration of different models is an additional challenge since the complexity of the implementation increases as best practices come from different natures. Hence, we propose a model to generate and customize a multi-model environment for software process improvement. We intend to reduce the complexity of combining agile and traditional frameworks by generating a frameworks integration catalog, which, from heuristics, graphically represents the possible paths to follow for the process improvement project. We use design-based science for this research because of its focus on problem analysis in real-world environments. In this way, we can consolidate the model to customize and generate a multi-model environment for the implementation of best practices of different nature during an improvement process. We also define a proposal of organizational profiles, which will allow us to validate the model in a business case in future work.
KW - Multi-model environment
KW - Software engineering
KW - Software process improvement
UR - http://www.scopus.com/inward/record.url?scp=85085528101&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-45688-7_62
DO - 10.1007/978-3-030-45688-7_62
M3 - Contribución a la conferencia
AN - SCOPUS:85085528101
SN - 9783030456870
T3 - Advances in Intelligent Systems and Computing
SP - 620
EP - 630
BT - Trends and Innovations in Information Systems and Technologies - Volume 1, WorldCIST 2020
A2 - Rocha, Álvaro
A2 - Adeli, Hojjat
A2 - Reis, Luís Paulo
A2 - Costanzo, Sandra
A2 - Orovic, Irena
A2 - Moreira, Fernando
PB - Springer
Y2 - 7 April 2020 through 10 April 2020
ER -