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

open access: yesIEEE 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   +3 more
doaj   +2 more sources

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

open access: yesJMIR 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   +7 more
doaj   +2 more sources

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

open access: yesJMIR 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   +5 more
doaj   +2 more sources

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

open access: yesBDJ 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   +5 more
doaj   +2 more sources

Test Case Understandability Model

open access: yesIEEE Access, 2020
Several automated test case generation techniques have been proposed to date, although the adoption of such techniques in the industry remains low. A key factor that has contributed to this low adoption rate is the difficulty experienced by the developer
Novi Setiani   +2 more
doaj   +2 more sources

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

open access: yesMental 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   +7 more
doaj   +1 more source

Promoting Health Literacy With Human-in-the-Loop Video Understandability Classification of YouTube Videos: Development and Evaluation Study

open access: yesJournal of Medical Internet Research
BackgroundAn estimated 93% of adults in the United States access the internet, with up to 80% looking for health information. However, only 12% of US adults are proficient enough in health literacy to interpret health information ...
Xiao Liu, Anjana Susarla, Rema Padman
doaj   +2 more sources

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

open access: yesEmpirical 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   +2 more
semanticscholar   +1 more source

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

open access: yesFinancial 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   +1 more
doaj   +1 more source

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

open access: yesnpj 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   +3 more
semanticscholar   +1 more source

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