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ORCIDInformation & Software Technology, Volume 109
Volume 109, May 2019
- Pingyi Zhou, Jin Liu, Xiao Liu, Zijiang Yang, John C. Grundy
:
Is deep learning better than traditional approaches in tag recommendation for software information sites? 1-13 - Petar Kochovski, Pavel D. Drobintsev, Vlado Stankovski:
Formal Quality of Service assurances, ranking and verification of cloud deployment options with a probabilistic model checking method. 14-25 - Eric Souza, Ana Moreira, Miguel Goulão:
Deriving architectural models from requirements specifications: A systematic mapping study. 26-39 - Vilmar Nepomuceno, Sérgio Soares:
On the need to update systematic literature reviews. 40-42 - Ovidiu-Andrei Schipor, Radu-Daniel Vatavu, Jean Vanderdonckt:
Euphoria: A Scalable, event-driven architecture for designing interactions across heterogeneous devices in smart environments. 43-59 - Bahareh Bafandeh Mayvan, Abbas Rasoolzadegan, A. M. Ebrahimi:
A new benchmark for evaluating pattern mining methods based on the automatic generation of testbeds. 60-79 - Omar Meqdadi, Nouh Alhindawi, Jamal Alsakran, Ahmad A. Saifan, Hatim Migdadi:
Mining software repositories for adaptive change commits using machine learning techniques. 80-91 - Jorge Melegati, Alfredo Goldman, Fabio Kon, Xiaofeng Wang:
A model of requirements engineering in software startups. 92-107 - Luigi Lavazza, Sandro Morasca:
Empirical evaluation and proposals for bands-based COSMIC early estimation methods. 108-125
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