no code implementations • 7 Jan 2018 • Vahid Garousi, Michael Felderer, Feyza Nur Kilicaslan
Results: The area of software testability has been comprehensively studied by researchers and practitioners.
Software Engineering
no code implementations • 2 Jun 2018 • Vahid Garousi, Sara Bauer, Michael Felderer
After compiling an initial pool of 95 papers, we conducted a systematic voting, and our final pool included 67 technical papers.
no code implementations • 20 Apr 2019 • Ario Santoso, Michael Felderer
Differently from previous studies, instead of focusing on a particular prediction task, we present an approach to deal with various prediction tasks based on the given specification of the desired prediction tasks.
no code implementations • 27 Sep 2019 • Gabriela Robiolo, Ezequiel Scott, Santiago Matalonga, Michael Felderer
Aims: The goal is to explore indicators of potential Technical Debt and Waste in NFRs documentation.
Software Engineering
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 • 29 Jan 2021 • Jil Klünder, Regina Hebig, Paolo Tell, Marco Kuhrmann, Joyce Nakatumba-Nabende, Rogardt Heldal, Stephan Krusche, Masud Fazal-Baqaie, Michael Felderer, Marcela Fabiana Genero Bocco, Steffen Küpper, Sherlock A. Licorish, Gustavo Lòpez, Fergal McCaffery, Özden Özcan Top, Christian R. Prause, Rafael Prikladnicki, Eray Tüzün, Dietmar Pfahl, Kurt Schneider, Stephen G. MacDonell
Our results show that 76. 8% of the companies implement hybrid methods.
Software Engineering
no code implementations • 10 Feb 2021 • Florian Auer, Rasmus Ros, Lukas Kaltenbrunner, Per Runeson, Michael Felderer
Finally, we were interested in the challenges and benefits reported of continuous experimentation.
Software Engineering
no code implementations • 2 Mar 2021 • Muhammad Usman, Michael Felderer, Michael Unterkalmsteiner, Eriks Klotins, Daniel Mendez, Emil Alegroth
Regulatory compliance is a well-studied area, including research on how to model, check, analyse, enact, and verify compliance of software.
Software Engineering
no code implementations • 12 Mar 2021 • Matteo Camilli, Michael Felderer, Andrea Giusti, Dominik T. Matt, Anna Perini, Barbara Russo, Angelo Susi
Thus, building such systems with strong assurances of compliance with requirements domain specific standards and regulations is of greatest importance.
no code implementations • 1 Dec 2021 • Jubril Gbolahan Adigun, Matteo Camilli, Michael Felderer, Andrea Giusti, Dominik T Matt, Anna Perini, Barbara Russo, Angelo Susi
Collaborative AI systems (CAISs) aim at working together with humans in a shared space to achieve a common goal.
no code implementations • 19 Mar 2022 • Harald Foidl, Michael Felderer, Rudolf Ramler
High data quality is fundamental for today's AI-based systems.
no code implementations • 23 Mar 2022 • Valentina Golendukhina, Valentina Lenarduzzi, Michael Felderer
Thus, the goal of this study is to investigate the software quality assurance strategies adopted during the development, integration, and maintenance of AI/ML components and code.
no code implementations • 16 May 2022 • Neetha Jambigi, Thomas Bach, Felix Schabernack, Michael Felderer
However, we experienced that such replays can produce a large amount of false positive alerts that make the results unreliable or time consuming to analyze.
no code implementations • 8 Jul 2022 • Francisco Durán López, Silverio Martínez-Fernández, Michael Felderer, Xavier Franch
Our goal is to improve the models against adversarial inputs regarding accuracy, resource utilization and time from the point of view of a data scientist in the context of image classification.
no code implementations • 21 Jan 2023 • Monika Steidl, Michael Felderer, Rudolf Ramler
To ease the development process, continuous pipelines for AI have become an active research area where consolidated and in-depth analysis regarding the terminology, triggers, tasks, and challenges is required.
no code implementations • 18 Sep 2023 • Irdin Pekaric, Michael Felderer, Philipp Steinmüller
In this paper, we present VULNERLIZER, which is a novel framework for cross-analysis between vulnerabilities and software libraries.
no code implementations • 1 Oct 2023 • Irdin Pekaric, Markus Frick, Jubril Gbolahan Adigun, Raffaela Groner, Thomas Witte, Alexander Raschke, Michael Felderer, Matthias Tichy
Attack graphs are a tool for analyzing security vulnerabilities that capture different and prospective attacks on a system.