Are models better read on paper or on screen? A comparative study.

Softw Syst Model

College of Technological Innovation, Zayed University, P.O. Box 144534, Abu Dhabi, UAE.

Published: January 2022

Is it really better to print everything, including software models, or is it better to view them on screen? With the ever increasing complexity of software systems, software modeling is integral to software development. Software models facilitate and automate many activities during development, such as code and test case generation. However, a core goal of software modeling is to communicate and collaborate. Software models are presented to team members on many mediums and two of the most common mediums are paper and computer screens. Reading from paper or screen is ostensibly considered to have the same effect on model comprehension. However, the literature on text reading has indicated that the reading experiences can be very different which in turn effects various metrics related to reader performance. This paper reports on an experiment that was conducted to investigate the effect of reading software models on paper in comparison with reading them on a computer screen with respect to cognitive effectiveness. Cognitive effectiveness here refers to the ease by which a model reader can read a model. The experiment used a total of 74 software engineering students as subjects. The experiment results provide strong evidence that displaying diagrams on a screen allows subjects to read them quicker. There is also evidence that indicates that on screen viewing induces fewer reading errors.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743026PMC
http://dx.doi.org/10.1007/s10270-021-00966-yDOI Listing

Publication Analysis

Top Keywords

software models
16
software
9
models better
8
software modeling
8
cognitive effectiveness
8
reading
6
models
5
paper
5
better read
4
read paper
4

Similar Publications

Background: Kidney tumors, common in the urinary system, have widely varying survival rates post-surgery. Current prognostic methods rely on invasive biopsies, highlighting the need for non-invasive, accurate prediction models to assist in clinical decision-making.

Purpose: This study aimed to construct a K-means clustering algorithm enhanced by Transformer-based feature transformation to predict the overall survival rate of patients after kidney tumor resection and provide an interpretability analysis of the model to assist in clinical decision-making.

View Article and Find Full Text PDF

Background: Superagers, older adults with exceptional cognitive abilities, show preserved brain structure compared to typical older adults. We investigated whether superagers have biologically younger brains based on their structural integrity.

Methods: A cohort of 153 older adults (aged 61-93) was recruited, with 63 classified as superagers based on superior episodic memory and 90 as typical older adults, of whom 64 were followed up after two years.

View Article and Find Full Text PDF

In this paper, we propose a method to address the class imbalance learning in the classification of focal liver lesions (FLLs) from abdominal CT images. Class imbalance is a significant challenge in medical image analysis, making it difficult for machine learning models to learn to classify them accurately. To overcome this, we propose a class-wise combination of mixture-based data augmentation (CCDA) method that uses two mixture-based data augmentation techniques, MixUp and AugMix.

View Article and Find Full Text PDF

Considering the potential detrimental impact of poverty on psychological development and the resulting harmful cycles, implementing poverty alleviation interventions is necessary for children and adolescents. Although several meta-analyses have demonstrated the effectiveness of monetary poverty reduction programs, there remains a significant gap in understanding how multidimensional poverty reduction strategies boost psychological development. This meta-analysis aims to address this gap by disclosing the impact of multifaceted anti-poverty interventions on the psychological development of children and adolescents.

View Article and Find Full Text PDF

Objective: Accurate rotational reduction following tibial shaft fracture fixation is absent in up to 36% of cases yet may be critical for lower extremity biomechanics. The objective of this cadaveric study was to compare the results of freehand methods of reduction with software-assisted reduction.

Methods: Four fellowship-trained orthopaedic trauma surgeons attempted rotational correction in a cadaveric model with fluoroscopic assistance (without radiographic visualization of the fracture site) using (1) their method of choice (MoC) and (2) software assistance (SA).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!