Titlebook: Quality of Information and Communications Technology; 13th International C Martin Shepperd,Fernando Brito e Abreu,Ricardo Pér Conference pr

謙卑

Sanna Heikkinen,Marko J?ntti,Kaija Sarantosible to a wide variety of readers, especially senior undergraduate and graduate students in fluid mechanics, coastal and ocean engineering, physical oceanography and applied mathematics...Hu Huang is a profess

知識分子

1865-0929 ining;??quality aspects in quantum computing;?safety, security and privacy;?ICT verification and validation;?RE, MDD and agile..*The conference was held virtually due to the COVID-19 pandemic..978-3-030-58792-5978-3-030-58793-2Series ISSN 1865-0929 Series E-ISSN 1865-0937

CHURL

Towards Guidelines for Assessing Qualities of Machine Learning Systemsndustrial use case. This quality model enables practitioners to specify and assess quality requirements for such kinds of ML systems objectively. In the future, we want to learn how the term quality differs between different types of ML systems and come up with general guidelines for specifying and assessing qualities of ML systems.

聰明

培養(yǎng)

Suggesting Descriptive Method Names: An Exploratory Study of Two Machine Learning Approachesparing the generated names to the actual ones and report the result using Precision and Recall metrics. For TF-IDF, we get results as good as 28% precision and 45% recall; and for deep neural network, 46% precision and 32% recall.

APRON

Challenges for Layout Validation: Lessons Learnedarison field, we highlight challenges for layout comparison. For each challenge, we propose possible solutions, and we detail the three main features we need to create a good layout validation approach.

LIKEN

Towards Automated Taxonomy Generation for Grouping App Reviews: A Preliminary Empirical Studyte the taxonomy. We validated the proposed approach with app reviews extracted from the popular My Tracks app, where outcomes revealed a 72% match with a manual taxonomy generated from domain knowledge provided by humans. Our approach shows promise for rapidly supporting software maintenance and evolution.

沖突

浪蕩子

Perceived Quality of Artificial Intelligence in Smart Service Systems: A Structured Approachnd thus supports a systematic and quality-focused development. In addition, our paper presents exemplary AI-relevant quality aspects in more detail. First of all, AI-based Smart Service Systems will be characterized in more detail and existing quality concepts will be presented in order to enable a holistic quality assessment.

蔓藤圖飾