Results 1 to 10 of about 2,791,166 (373)

Early Career Developers’ Perceptions of Code Understandability: A Study of Complexity Metrics

IEEE Access, 2023
Context: Code understandability is crucial for developers, who continually modify the code to achieve changing business needs over time. Low understandability is associated with a significant increase in coding efforts and defect-proneness.
Matteo Esposito, Andrea Janes, Terhi Kilamo, Valentina Lenarduzzi   +3 more
doaj   +2 more sources

Use of Machine Learning Algorithms to Predict the Understandability of Health Education Materials: Development and Evaluation Study

JMIR Medical Informatics, 2021
BackgroundImproving the understandability of health information can significantly increase the cost-effectiveness and efficiency of health education programs for vulnerable populations. There is a pressing need to develop clinically informed computerized
Ji, Meng, Liu, Yanmeng, Zhao, Mengdan, Lyu, Ziqing, Zhang, Boren, Luo, Xin, Li, Yanlin, Zhong, Yin   +7 more
doaj   +2 more sources

Web-Based Patient Educational Material on Osteosarcoma: Quantitative Assessment of Readability and Understandability

JMIR Cancer, 2022
BackgroundPatients often turn to web-based resources following the diagnosis of osteosarcoma. To be fully understood by average American adults, the American Medical Association (AMA) and National Institutes of Health (NIH ...
Trevor Robert Gulbrandsen, Mary Kate Skalitzky, Alan Gregory Shamrock, Burke Gao, Obada Hasan, Benjamin James Miller   +5 more
doaj   +2 more sources

Assessing the understandability, actionability, and quality of online resources for the self-management of bipolar disorder [PDF]

Mental Health Clinician, 2022
Introduction: This study aims to assess the understandability, actionability, and quality of online resources for the self-management (SM) of bipolar spectrum disorders in adults. Methods: An online search using Google, Bing, and Yahoo!
Nathan D. Sutera, PharmD, Courtney A. Iuppa, PharmD, BCPP, Leigh Anne Nelson, PharmD, BCPP, Carrie R. Kriz, MS, Nicole A. Gramlich, PharmD, BCPP, Shelby E. Lang, PharmD, BCPP, Ellie S. R. Elliott, PharmD, BCPP, Roger W. Sommi, PharmD, BCPP, FCPP   +7 more
doaj   +1 more source

Assessing the power of AI: a comparative evaluation of large language models in generating patient education materials in dentistry [PDF]

BDJ Open
Background This study evaluates the use of large language models (LLMs) in generating Patient Education Materials (PEMs) for dental scenarios, focusing on their reliability, readability, understandability, and actionability. The study aimed to assess the
Gowri Sivaramakrishnan, Maryam Almuqahwi, Sufyan Ansari, Mohammed Lubbad, Emad Alagamawy, Kannan Sridharan   +5 more
doaj   +2 more sources

Do RESTful API design rules have an impact on the understandability of Web APIs? [PDF]

Empirical Software Engineering, 2023
Context Web APIs are one of the most used ways to expose application functionality on the Web, and their understandability is important for efficiently using the provided resources.
J. Bogner, Sebastian Kotstein, Timo Pfaff   +2 more
semanticscholar   +1 more source

Explainable artificial intelligence for mental health through transparency and interpretability for understandability

npj Digital Medicine, 2023
The literature on artificial intelligence (AI) or machine learning (ML) in mental health and psychiatry lacks consensus on what “explainability” means. In the more general XAI (eXplainable AI) literature, there has been some convergence on explainability
Dan W. Joyce, A. Kormilitzin, Katharine A. Smith, A. Cipriani   +3 more
semanticscholar   +1 more source

A Defense on Accounting Discretion: An Empirical Inquiry based on Users’ Awareness [PDF]

Financial Markets, Institutions and Risks, 2022
Corporate performance is a key in corporate accounting. One of the earliest accounting measures of corporate performance is accounting income. Accrual accounting enables the measurement of changes in net assets of an entity.
Afaf M. Alharbi*, Macc, Khalid Rasheed Al-Adeem   +1 more
doaj   +1 more source

A Literature Survey of How to Convey Transparency in Co-Located Human–Robot Interaction

Multimodal Technologies and Interaction, 2023
In human–robot interaction, transparency is essential to ensure that humans understand and trust robots. Understanding is vital from an ethical perspective and benefits interaction, e.g., through appropriate trust. While there is research on explanations
Svenja Y. Schött, Rifat Mehreen Amin, Andreas Butz   +2 more
doaj   +1 more source

An empirical study on software understandability and its dependence on code characteristics

Empirical Software Engineering, 2023
Context Insufficient code understandability makes software difficult to inspect and maintain and is a primary cause of software development cost. Several source code measures may be used to identify difficult-to-understand code, including well-known ones
L. Lavazza, S. Morasca, Marco Gatto
semanticscholar   +1 more source