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Decision support for choosing architectural assets in the development of software-intensive systems: The GRADE taxonomy.

, , , , , and . ECSA Workshops, page 48:1-48:7. ACM, (2015)

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A multivariate statistical framework for the analysis of software effort phase distribution., , , and . Inf. Softw. Technol., (2015)Choosing Component Origins for Software Intensive Systems: In-House, COTS, OSS or Outsourcing? - A Case Survey., , , , , , , , , and . IEEE Trans. Software Eng., 44 (3): 237-261 (2018)Distracted Driver Monitoring with Smartphones: A Preliminary Literature Review., , and . FRUCT, page 169-176. IEEE, (2021)eTracer: An Innovative Near-Real Time Track-and-Trace Platform., and . Panhellenic Conference on Informatics, page 282-286. IEEE Computer Society, (2011)Classification and Prediction of Software Cost through Fuzzy Decision Trees., and . ICEIS, volume 24 of Lecture Notes in Business Information Processing, page 234-247. Springer, (2009)Characteristics of software ecosystems for Federated Embedded Systems: A case study., , and . Inf. Softw. Technol., 56 (11): 1457-1475 (2014)An investigation of effort distribution among development phases: A four-stage progressive software cost estimation model, , , and . Journal of Software: Evolution and Process, 29 (10): 1--21 (2017)On Modelling Cognitive Styles of Users in Adaptive Interactive Systems using Artificial Neural Networks., , , and . IJCCI, page 563-569. SciTePress, (2012)Cost Modeling and Estimation in Agile Software Development Environments using Influence Diagrams., , , and . ICEIS (3), page 117-127. SciTePress, (2011)Towards evidence-based decision-making for identification and usage of assets in composite software: A research roadmap., , , , , , , , , and 5 other author(s). J. Softw. Evol. Process., (2021)