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Maleknaz Nayebi
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Towards Data-Driven Requirements Engineering
W Maalej, M Nayebi, T Johann, G Ruhe
Software, IEEE, 2016
3402016
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
2922017
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
1352016
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
1192019
The art and science of analyzing software data
C Bird, T Menzies, T Zimmermann
Elsevier, 2015
1172015
App store mining is not enough for app improvement
M Nayebi, H Cho, G Ruhe
Empirical Software Engineering, 1-31, 2018
1122018
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
752021
Naming the pain in requirements engineering: contemporary problems, causes, and effects in practice
D Méndez Fernández, S Wagner, M Kalinowski, M Felderer, P Mafra, ...
732016
Software project management in a changing world
G Ruhe, C Wohlin
Springer, 2014
642014
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
472017
Which Version Should be Released to App Store?
M Nayebi, H Farrahi, G Ruhe
Symposium on Empirical Software Engineering and Measurement (ESEM), 2017
432017
Analytical Product Release Planning
M Nayebi, G Ruhe
The Art and Science of Analyzing Software Data, 550 - 580, 2015
422015
App store mining is not enough
M Nayebi, H Cho, H Farrahi, G Ruhe
2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017
402017
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
352023
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
352019
Asymmetric release planning: Compromising satisfaction against dissatisfaction
M Nayebi, G Ruhe
IEEE Transactions on Software Engineering 45 (9), 839-857, 2018
322018
Effective customer relationship management at ATB financial: a case study on industry-academia collaboration in data analytics
I Hargreaves, D Roth, MR Karim, M Nayebi, G Ruhe
Highlighting the importance of big data management and analysis for various …, 2018
322018
Data-driven requirements engineering-an update
W Maalej, M Nayebi, G Ruhe
2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019
312019
Optimized Functionality for Super Mobile Apps
M Nayebi, G Ruhe
Requirements Engineering (RE) conference, 2017
312017
The Vision: Requirements Engineering in Society
G Ruhe, M Nayebi, C Ebert
Requirements Engineering (RE) conference, 2017
302017
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