no code implementations • 29 Oct 2023 • Evangelia Panourgia, Theodoros Plessas, Ilias Balampanis, Diomidis Spinellis
The rising popularity of deep learning (DL) methods and techniques has invigorated interest in the topic of SE4DL (Software Engineering for Deep Learning), the application of software engineering (SE) practices on deep learning software.
1 code implementation • 12 Sep 2023 • Diomidis Spinellis
Developers and data scientists often struggle to write command-line inputs, even though graphical interfaces or tools like ChatGPT can assist.
no code implementations • 17 Nov 2022 • Zoe Kotti, Rafaila Galanopoulou, Diomidis Spinellis
Machine learning (ML) techniques increase the effectiveness of software engineering (SE) lifecycle activities.
1 code implementation • 7 Oct 2020 • Paul Ralph, Nauman bin Ali, Sebastian Baltes, Domenico Bianculli, Jessica Diaz, Yvonne Dittrich, Neil Ernst, Michael Felderer, Robert Feldt, Antonio Filieri, Breno Bernard Nicolau de França, Carlo Alberto Furia, Greg Gay, Nicolas Gold, Daniel Graziotin, Pinjia He, Rashina Hoda, Natalia Juristo, Barbara Kitchenham, Valentina Lenarduzzi, Jorge Martínez, Jorge Melegati, Daniel Mendez, Tim Menzies, Jefferson Molleri, Dietmar Pfahl, Romain Robbes, Daniel Russo, Nyyti Saarimäki, Federica Sarro, Janet Siegmund, Diomidis Spinellis, Miroslaw Staron, Klaas Stol, Margaret-Anne Storey, Davide Taibi, Damian Tamburri, Marco Torchiano, Christoph Treude, Burak Turhan, XiaoFeng Wang, Sira Vegas
Empirical Standards are natural-language models of a scientific community's expectations for a specific kind of study (e. g. a questionnaire survey).
Software Engineering General Literature
no code implementations • 6 Mar 2018 • Vasiliki Efstathiou, Diomidis Spinellis
Recent research provides evidence that effective communication in collaborative software development has significant impact on the software development lifecycle.
