| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A model of requirements engineering in software startups
|
Melegati, Jorge
|
|
2019
|
109 |
C |
p. 92-107
|
artikel
|
| 2 |
A new benchmark for evaluating pattern mining methods based on the automatic generation of testbeds
|
Bafandeh Mayvan, B.
|
|
2019
|
109 |
C |
p. 60-79
|
artikel
|
| 3 |
Deriving architectural models from requirements specifications: A systematic mapping study
|
Souza, Eric
|
|
2019
|
109 |
C |
p. 26-39
|
artikel
|
| 4 |
Editorial Board
|
|
|
2019
|
109 |
C |
p. ii
|
artikel
|
| 5 |
Empirical evaluation and proposals for bands-based COSMIC early estimation methods
|
Lavazza, Luigi
|
|
2019
|
109 |
C |
p. 108-125
|
artikel
|
| 6 |
Euphoria: A Scalable, event-driven architecture for designing interactions across heterogeneous devices in smart environments
|
Schipor, Ovidiu-Andrei
|
|
2019
|
109 |
C |
p. 43-59
|
artikel
|
| 7 |
Formal Quality of Service assurances, ranking and verification of cloud deployment options with a probabilistic model checking method
|
Kochovski, Petar
|
|
2019
|
109 |
C |
p. 14-25
|
artikel
|
| 8 |
Is deep learning better than traditional approaches in tag recommendation for software information sites?
|
Zhou, Pingyi
|
|
2019
|
109 |
C |
p. 1-13
|
artikel
|
| 9 |
Mining software repositories for adaptive change commits using machine learning techniques
|
Meqdadi, Omar
|
|
2019
|
109 |
C |
p. 80-91
|
artikel
|
| 10 |
On the need to update systematic literature reviews
|
Nepomuceno, Vilmar
|
|
2019
|
109 |
C |
p. 40-42
|
artikel
|
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