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Empirical Software Engineering|July 6, 2022
Can Offline Testing of Deep Neural Networks Replace Their Online Testing?: A Case Study of Automated Driving SystemsFitash Ul Haq, Donghwan Shin, Shiva Nejati, et al.Empirical Software Engineering|February 16, 2026
SecMLOps: A comprehensive framework for integrating security throughout the machine learning operations lifecycleXinrui Zhang, Pincan Zhao, Jason Jaskolka, et al.Empirical Software Engineering|September 21, 2020
Pandemic programming: How COVID-19 affects software developers and how their organizations can helpPaul Ralph, Sebastian Baltes, Gianisa Adisaputri, et al.Empirical Software Engineering|September 26, 2022
Developing research questions in conversation with the literature: operationalization & tool supportOscar Díaz, Jeremías P ContellEmpirical Software Engineering|September 26, 2022
FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-codeNemania Borovits, Indika Kumara, Dario Di Nucci, et al.Empirical Software Engineering|September 26, 2022
The human experience of comprehending source code in virtual realityJames Dominic, Brock Tubre, Deborah Kunkel, et al.Empirical Software Engineering|January 10, 2022
Gamification in software engineering: the mediating role of developer engagement and job satisfactionKlaas-Jan Stol, Mario Schaarschmidt, Shelly GoldblitEmpirical Software Engineering|November 15, 2021
On systematically building a controlled natural language for functional requirementsAlvaro Veizaga, Mauricio Alferez, Damiano Torre, et al.Empirical Software Engineering|October 17, 2022
A large scale analysis of mHealth app user reviewsOmar Haggag, John Grundy, Mohamed Abdelrazek, et al.Empirical Software Engineering|October 10, 2022
C2M: a maturity model for the evaluation of communication in distributed software developmentIvaldir de Farias Junior, Sabrina Marczak, Rodrigo Santos, et al.Pageof 9