Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Baldassarre, Maria Teresa"'
Context: This study explores how software professionals identify and address biases in AI systems within the software industry, focusing on practical knowledge and real-world applications. Goal: We aimed to understand the strategies employed by pract
Externí odkaz:
http://arxiv.org/abs/2409.02432
Autor:
Baldassarre, Maria Teresa, Gigante, Domenico, Kalinowski, Marcos, Ragone, Azzurra, Tibidò, Sara
Publikováno v:
28th International Conference on Evaluation and Assessment in Software Engineering (EASE 2024), June 18-21, 2024, Salerno, Italy
Recently, there has been growing attention on behalf of both academic and practice communities towards the ability of Artificial Intelligence (AI) systems to operate responsibly and ethically. As a result, a plethora of frameworks and guidelines have
Externí odkaz:
http://arxiv.org/abs/2407.12135
Autor:
Storey, Margaret-Anne, Hoda, Rashina, Milani, Alessandra Maciel Paz, Baldassarre, Maria Teresa
Mixed and multi methods research is often used in software engineering, but researchers outside of the social or human sciences often lack experience when using these designs. This paper provides guidelines and advice on how to design mixed and multi
Externí odkaz:
http://arxiv.org/abs/2404.06011
Publikováno v:
Conference on AI Engineering Software Engineering for AI (CAIN 2024), April 14--15, 2024, Lisbon, Portugal
In the ever-expanding landscape of Artificial Intelligence (AI), where innovation thrives and new products and services are continuously being delivered, ensuring that AI systems are designed and developed responsibly throughout their entire lifecycl
Externí odkaz:
http://arxiv.org/abs/2402.05340
[Background] Hackathons are increasingly gaining prominence in Software Engineering (SE) education, lauded for their ability to elevate students' skill sets. [Objective] This paper investigates whether hackathons can impact the motivation of SE stude
Externí odkaz:
http://arxiv.org/abs/2402.05339
Autor:
Cabral, Raphael, Kalinowski, Marcos, Baldassarre, Maria Teresa, Villamizar, Hugo, Escovedo, Tatiana, Lopes, Hélio
[Context] Applying design principles has long been acknowledged as beneficial for understanding and maintainability in traditional software projects. These benefits may similarly hold for Machine Learning (ML) projects, which involve iterative experi
Externí odkaz:
http://arxiv.org/abs/2402.05337
Autor:
Oliveira, Tatalina, Barcomb, Ann, Santos, Ronnie de Souza, Barros, Helda, Baldassarre, Maria Teresa, França, César
Context. Women remain significantly underrepresented in software engineering, leading to a lasting gender gap in the software industry. This disparity starts in education and extends into the industry, causing challenges such as hostile work environm
Externí odkaz:
http://arxiv.org/abs/2312.04809
Autor:
Guenes, Paloma, Tomaz, Rafael, Kalinowski, Marcos, Baldassarre, Maria Teresa, Storey, Margaret-Anne
The Impostor Phenomenon (IP) is widely discussed in Science, Technology, Engineering, and Mathematics (STEM) and has been evaluated in Computer Science students. However, formal research on IP in software engineers has yet to be conducted, although i
Externí odkaz:
http://arxiv.org/abs/2312.03966
Registered reports are scientific publications which begin the publication process by first having the detailed research protocol, including key research questions, reviewed and approved by peers. Subsequent analysis and results are published with mi
Externí odkaz:
http://arxiv.org/abs/2302.03649
Autor:
d'Aragona, Dario Amoroso, Pecorelli, Fabiano, Romano, Simone, Scanniello, Giuseppe, Baldassarre, Maria Teresa, Janes, Andrea, Lenarduzzi, Valentina
Regression testing ensures a System Under Test (SUT) still works as expected after changes to it. The simplest approach for regression testing consists of re-running the entire test suite against the changed version of the SUT. However, this might re
Externí odkaz:
http://arxiv.org/abs/2206.08718