E-LIB Suche - Ergebnisse für: Gousios, Georgios

1

Treating Infected Non-Healing Venous Leg Ulcers with Medica..:

Papanikolaou, Georgios E. ; Gousios, Georgios ; Cremers, Niels A. J..
Antibiotics. 13 (2024) 7 - p. 614 , 2024

2

Nudge: Accelerating Overdue Pull Requests toward Completion:

Maddila, Chandra ; Upadrasta, Sai Surya ; Bansal, Chetan...
ACM Transactions on Software Engineering and Methodology. 32 (2023) 2 - p. 1-30 , 2023

Link: https://doi.org/10.1145/..

3

Use of Medical-Grade Honey to Treat Clinically Infected Hee..:

Papanikolaou, Georgios E. ; Gousios, Georgios ; Cremers, Niels A. J.
Antibiotics. 12 (2023) 3 - p. 605 , 2023

Link: https://doi.org/10.3390/..

4

Pull Request Decisions Explained: An Empirical Overview:

Zhang, Xunhui ; Yu, Yue ; Gousios, Georgios.
IEEE Transactions on Software Engineering. 49 (2023) 2 - p. 849-871 , 2023

Link: https://doi.org/10.1109/..

5

Frankenstein: fast and lightweight call graph generation fo..:

Keshani, Mehdi ; Gousios, Georgios ; Proksch, Sebastian
Empirical Software Engineering. 29 (2023) 1 - p. , 2023

Link: https://doi.org/10.1007/..

6

Impact of Software Engineering Research in Practice: A Pate..:

Kotti, Zoe ; Gousios, Georgios ; Spinellis, Diomidis
IEEE Transactions on Software Engineering. 49 (2023) 4 - p. 2020-2038 , 2023

Link: https://doi.org/10.1109/..

7

Dynamic Prediction of Delays in Software Projects using Del..:

, In: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering,

Kula, Elvan ; Greuter, Eric ; van Deursen, Arie. - p. 1012-1023 , 2023

Link: https://dl.acm.org/doi/1..

8

CodeFill : multi-token code completion by jointly learni..:

, In: Proceedings of the 44th International Conference on Software Engineering,

Izadi, Maliheh ; Gismondi, Roberta ; Gousios, Georgios - p. 401-412 , 2022

Link: https://dl.acm.org/doi/1..

9

Präzi: from package-based to call-based dependency networks:

Hejderup, Joseph ; Beller, Moritz ; Triantafyllou, Konstantinos.
Empirical Software Engineering. 27 (2022) 5 - p. , 2022

Link: https://doi.org/10.1007/..

10

Type4Py: Practical Deep Similarity Learning-Based Type Infe..:

, In: 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE),

Mir, Amir M. ; Latoskinas, Evaldas ; Proksch, Sebastian. - p. 2241-2252 , 2022

Link: https://doi.org/10.1145/..

11

Factors Affecting On-Time Delivery in Large-Scale Agile Sof..:

Kula, Elvan ; Greuter, Eric ; van Deursen, Arie.
IEEE Transactions on Software Engineering. 48 (2022) 9 - p. 3573-3592 , 2022

Link: https://doi.org/10.1109/..

12

CodeFill: Multi-token Code Completion by Jointly learning f..:

, In: 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE),

Izadi, Maliheh ; Gismondi, Roberta ; Gousios, Georgios - p. 401-412 , 2022

Link: https://doi.org/10.1145/..

13

Can we trust tests to automate dependency updates? A case s..:

Hejderup, Joseph ; Gousios, Georgios
Journal of Systems and Software. 183 (2022) - p. 111097 , 2022

Link: https://doi.org/10.1016/..

14

Type4Py : practical deep similarity learning-based type ..:

, In: Proceedings of the 44th International Conference on Software Engineering,

Mir, Amir M. ; Latoškinas, Evaldas ; Proksch, Sebastian. - p. 2241-2252 , 2022

Link: https://dl.acm.org/doi/1..

15

ManyTypes4Py: A Benchmark Python Dataset for Machine Learni..:

, In: 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR),

Mir, Amir M. ; Latoskinas, Evaldas ; Gousios, Georgios - p. 585-589 , 2021

Link: https://doi.org/10.1109/..