Author of the publication

Continuous and Proactive Software Architecture Evaluation: An IoT Case.

, , , and . ACM Trans. Softw. Eng. Methodol., 31 (3): 46:1-46:54 (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

The impact of data difficulty factors on classification of imbalanced and concept drifting data streams., , , , and . Knowl. Inf. Syst., 63 (6): 1429-1469 (2021)Conference Highlights: JIT Fault Prevention, Motivated Modeling, Security in Requirements, and Improving Team Performance., , , , and . IEEE Softw., 37 (4): 83-86 (2020)A novel automated approach for software effort estimation based on data augmentation., , and . ESEC/SIGSOFT FSE, page 468-479. ACM, (2018)Diversifying Software Architecture for Sustainability: A Value-Based Perspective., , , and . ECSA, volume 9839 of Lecture Notes in Computer Science, page 55-63. (2016)Multi-stream online transfer learning for software effort estimation: is it necessary?. PROMISE, page 11-20. ACM, (2021)Data science for software engineering., , , , and . ICSE, page 1484-1486. IEEE Computer Society, (2013)The impact of parameter tuning on software effort estimation using learning machines., , and . PROMISE, page 9:1-9:10. ACM, (2013)Using unreliable data for creating more reliable online learners., and . IJCNN, page 1-8. IEEE, (2012)GMM-VRD: A Gaussian Mixture Model for Dealing With Virtual and Real Concept Drifts., , and . IJCNN, page 1-8. IEEE, (2019)How to make best use of cross-company data in software effort estimation?, and . ICSE, page 446-456. ACM, (2014)