Software engineering education: Results from a training intervention based on SonarCloud when developing web apps

IF 3.7 2区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Sabato Nocera, Simone Romano, Rita Francese, Giuseppe Scanniello
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引用次数: 0

Abstract

Past research suggests that Computer Science (CS) undergraduate students are not equipped to manage quality characteristics such as security, reliability, and maintainability. Filling such a gap should allow CS undergraduates an easier integration into the labor market after graduation. To make students more ready for such a market, we introduced a training intervention in our Software Technologies for the Web (STW ) course in the academic year (a.y.) 2022–23. Our intervention focused on security, i.e., students were trained on secure development and were asked to use SonarCloud. To assess this intervention, we compared the web apps developed in a.y. 2021–22 and a.y. 2022–23 and observed that the security significantly improved in the a.y. 2022–23 web apps. To understand whether and to what extent our training intervention triggered autonomous motivation in the students (a.y. 2022–23) on reliability and maintainability, we also compared the web apps of a.y. 2021–22 and a.y. 2022–23 on these issues. To that end, we did not ask students to deal with reliability and maintainability. This part of our research is presented in this paper for the first time and revealed that the web apps of a.y. 2022–23 are more reliable and maintainable than those of a.y. 2021–22.
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来源期刊
Journal of Systems and Software
Journal of Systems and Software 工程技术-计算机:理论方法
CiteScore
8.60
自引率
5.70%
发文量
193
审稿时长
16 weeks
期刊介绍: The Journal of Systems and Software publishes papers covering all aspects of software engineering and related hardware-software-systems issues. All articles should include a validation of the idea presented, e.g. through case studies, experiments, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to: •Methods and tools for, and empirical studies on, software requirements, design, architecture, verification and validation, maintenance and evolution •Agile, model-driven, service-oriented, open source and global software development •Approaches for mobile, multiprocessing, real-time, distributed, cloud-based, dependable and virtualized systems •Human factors and management concerns of software development •Data management and big data issues of software systems •Metrics and evaluation, data mining of software development resources •Business and economic aspects of software development processes The journal welcomes state-of-the-art surveys and reports of practical experience for all of these topics.
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