Insights from a dataset on behavioral intentions in learning information flow diagram capability for software design

Developing complex software may be difficult for students or those with less technical expertise in software design due to the large number of diagrams and the complexity of their relationships. Unified modeling language (UML) provides conceptual software design as a system's blueprints, including programming statements, software processes, software components, deployment, design, and development, whereas database schemas use UML for an object-oriented database and entity relation model (ERD) for a relational database. An information flow diagram (IFD) is a technical tool for designing software that includes Infrastructure, data and information, and processing flow. IFD can benefit from examining a new paradigm that facilitates a more practical and rapid understanding of information designs. This data set contains the results of an investigation into the factors affecting the acceptance of IFD for software design by college students. Google forms are used to collect information from undergraduate and graduate computer science, IT, and software engineering students. The extended technology acceptance model (TAM) will focus on studying factors affecting acceptance or decision to use IFD, which includes the ability to create information flow diagrams, satisfaction with software design, and business requirement expectations. This study was carried out at four Thai universities. Research data collection for software design and development courses spanned the academic year 2021. Concerning the use of IFD in software design, 537 respondents were questioned regarding their perceptions, behavioral intentions, information flow diagram capability, software design satisfaction, and business requirement expectations. All students completed the survey. To ensure that participation was voluntary, each participant gave informed consent. Any collected information was rendered anonymous. The participants were given the information solely for research purposes. Ethical values, respect, autonomy, compassion, and confidentiality were guaranteed. The survey's primary questions correspond to the acceptance model's independent variables. Online distribution of the questionnaire yielded 537 valid responses. The dataset consists of 1) student demographics and 2) student perspectives on the factors influencing their intent to learn and apply IFD to software design. Partial Least Squares - Structural Equation Modelling was utilized to analyze the data (PLS-SEM). With the help of these data, researchers, software developers, and educators in various settings can use and analyze alternative software designs and validate models used to study and predict the acceptance of behaviors and factors.