Obserwuj
Maleknaz Nayebi
Tytuł
Cytowane przez
Cytowane przez
Rok
Towards Data-Driven Requirements Engineering
W Maalej, M Nayebi, T Johann, G Ruhe
Software, IEEE, 2016
3482016
Naming the pain in requirements engineering
DM Fernández, S Wagner, M Kalinowski, M Felderer, P Mafra, A Vetrò, ...
Empirical software engineering 22 (5), 2298-2338, 2017
3062017
Release Practices for Mobile Apps--What do Users and Developers Think?
M Nayebi, B Adams, G Ruhe
2016 ieee 23rd international conference on software analysis, evolution, and …, 2016
1362016
Status quo in requirements engineering: A theory and a global family of surveys
S Wagner, DM Fernández, M Felderer, A Vetrò, M Kalinowski, R Wieringa, ...
ACM Transactions on Software Engineering and Methodology (TOSEM) 28 (2), 1-48, 2019
1292019
The art and science of analyzing software data
C Bird, T Menzies, T Zimmermann
Elsevier, 2015
1132015
App store mining is not enough for app improvement
M Nayebi, H Cho, G Ruhe
Empirical Software Engineering, 1-31, 2018
1102018
Opinion mining for software development: a systematic literature review
B Lin, N Cassee, A Serebrenik, G Bavota, N Novielli, M Lanza
ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (3), 1-41, 2022
892022
What makes agile software development agile?
M Kuhrmann, P Tell, R Hebig, J Klünder, J Münch, O Linssen, D Pfahl, ...
IEEE transactions on software engineering 48 (9), 3523-3539, 2021
882021
Software project management in a changing world
G Ruhe, C Wohlin
Springer, 2014
812014
Naming the pain in requirements engineering: contemporary problems, causes, and effects in practice
D Méndez Fernández, S Wagner, M Kalinowski, M Felderer, P Mafra, ...
762016
A graph-based dataset of commit history of real-world android apps
FX Geiger, I Malavolta, L Pascarella, F Palomba, D Di Nucci, A Bacchelli
Proceedings of the 15th international conference on mining software …, 2018
742018
Androzooopen: Collecting large-scale open source android apps for the research community
P Liu, L Li, Y Zhao, X Sun, J Grundy
Proceedings of the 17th International Conference on Mining Software …, 2020
532020
Prompt engineering or fine tuning: An empirical assessment of large language models in automated software engineering tasks
J Shin, C Tang, T Mohati, M Nayebi, S Wang, H Hemmati
arXiv preprint arXiv:2310.10508, 2023
522023
Crowdsourced exploration of mobile app features: A case study of the fort mcmurray wildfire
M Nayebi, M Marbouti, R Quapp, F Maurer, G Ruhe
2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017
512017
Analytical Product Release Planning
M Nayebi, G Ruhe
The Art and Science of Analyzing Software Data, 550 - 580, 2015
442015
Which Version Should be Released to App Store?
M Nayebi, H Farrahi, G Ruhe
Symposium on Empirical Software Engineering and Measurement (ESEM), 2017
432017
A longitudinal study of identifying and paying down architecture debt
M Nayebi, Y Cai, R Kazman, G Ruhe, Q Feng, C Carlson, F Chew
2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019
412019
App store mining is not enough
M Nayebi, H Cho, H Farrahi, G Ruhe
2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017
392017
Developers' Perception of GitHub Actions: A Survey Analysis
SG Saroar, M Nayebi
International Conference on Evaluation and Assessment in Software …, 2023
352023
Asymmetric release planning: Compromising satisfaction against dissatisfaction
M Nayebi, G Ruhe
IEEE Transactions on Software Engineering 45 (9), 839-857, 2018
342018
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20