Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Trendowicz, Adam"'
Increased availability of open-source software repositories and recent advances in code analysis using large language models (LLMs) has triggered a wave of new work to automate software engineering tasks that were previously very difficult to automat
Externí odkaz:
http://arxiv.org/abs/2401.12714
Generating context specific data quality deficits is necessary to experimentally assess data quality of data-driven (artificial intelligence (AI) or machine learning (ML)) applications. In this paper we present badgers, an extensible open-source Pyth
Externí odkaz:
http://arxiv.org/abs/2307.04468
In the future, most companies will be confronted with the topic of Artificial Intelligence (AI) and will have to decide on their strategy in this regards. Currently, a lot of companies are thinking about whether and how AI and the usage of data will
Externí odkaz:
http://arxiv.org/abs/2203.08465
Autor:
Heidrich, Jens, Kläs, Michael, Morgenstern, Andreas, Antonino, Pablo Oliveira, Trendowicz, Adam, Quante, Jochen, Grundler, Thomas
In recent years, the role and the importance of software in the automotive domain have changed dramatically. Being able to systematically evaluate and manage software quality is becoming even more crucial. In practice, however, we still find a largel
Externí odkaz:
http://arxiv.org/abs/2110.14301
Autor:
Martínez-Fernández, Silverio, Bogner, Justus, Franch, Xavier, Oriol, Marc, Siebert, Julien, Trendowicz, Adam, Vollmer, Anna Maria, Wagner, Stefan
Publikováno v:
ACM Trans. Softw. Eng. Methodol. 31, 2, Article 37e (March 2022), 59 pages
AI-based systems are software systems with functionalities enabled by at least one AI component (e.g., for image- and speech-recognition, and autonomous driving). AI-based systems are becoming pervasive in society due to advances in AI. However, ther
Externí odkaz:
http://arxiv.org/abs/2105.01984
Autor:
Martínez-Fernández, Silverio, Franch, Xavier, Jedlitschka, Andreas, Oriol, Marc, Trendowicz, Adam
Companies dealing with Artificial Intelligence (AI) models in Autonomous Systems (AS) face several problems, such as users' lack of trust in adverse or unknown conditions, gaps between software engineering and AI model development, and operation in a
Externí odkaz:
http://arxiv.org/abs/2003.05434
Autor:
Trendowicz, Adam, Groen, Eduard C., Henningsen, Jens, Siebert, Julien, Bartels, Nedo, Storck, Sven, Kuhn, Thomas
Publikováno v:
In Digital Business June 2023 3(1)
Autor:
Wagner, Stefan, Goeb, Andreas, Heinemann, Lars, Kläs, Michael, Lampasona, Constanza, Lochmann, Klaus, Mayr, Alois, Plösch, Reinhold, Seidl, Andreas, Streit, Jonathan, Trendowicz, Adam
Publikováno v:
Information and Software Technology, Volume 62, June 2015, pages 101-123
Software quality models provide either abstract quality characteristics or concrete quality measurements; there is no seamless integration of these two aspects. Reasons for this include the complexity of quality and the various quality profiles in di
Externí odkaz:
http://arxiv.org/abs/1611.09230
Autor:
Wagner, Stefan, Lochmann, Klaus, Heinemann, Lars, Kläs, Michael, Trendowicz, Adam, Plösch, Reinhold, Seidl, Andreas, Goeb, Andreas, Streit, Jonathan
Published software quality models either provide abstract quality attributes or concrete quality assessments. There are no models that seamlessly integrate both aspects. In the project Quamoco, we built a comprehensive approach with the aim to close
Externí odkaz:
http://arxiv.org/abs/1611.04433
Managing quality (such as service availability or process adherence) during the development, operation, and maintenance of software(-intensive) systems and services is a challenging task. Although many organizations need to define, control, measure,
Externí odkaz:
http://arxiv.org/abs/1403.5432