Quality of Information and Communications Technology最新文献

Roadblocks to Attracting Students to Software Testing Careers: Comparisons of Replicated Studies 吸引学生从事软件测试职业的障碍:重复研究的比较

Quality of Information and Communications Technology Pub Date : 2022-06-16 DOI: 10.48550/arXiv.2206.07877

Rodrigo Souza, Ronnie E. S. Santos, Luiz Fernando Capretz, Marlon A. S. de Sousa, C. Magalhães

{"title":"Roadblocks to Attracting Students to Software Testing Careers: Comparisons of Replicated Studies","authors":"Rodrigo Souza, Ronnie E. S. Santos, Luiz Fernando Capretz, Marlon A. S. de Sousa, C. Magalhães","doi":"10.48550/arXiv.2206.07877","DOIUrl":"https://doi.org/10.48550/arXiv.2206.07877","url":null,"abstract":"Context. Recently, a family of studies highlighted the unpopularity of software testing careers among undergraduate students in software engineering and computer science courses. The original study and its replications explored the perception of students in universities in four countries (Canada, China, India, and Malaysia), and indicated that most students do not consider a career in software testing as an option after graduation. This scenario represents a problem for the software industry since the lack of skilled testing professionals might decrease the quality of software products and increase the number of unsuccessful projects. Goal. The present study aims to replicate, in Brazil, the studies conducted in the other four countries to establish comparisons and support the development of strategies to improve the visibility and importance of software testing among undergraduate students across the globe. Method. We followed the same protocol in the original study to collect data using a questionnaire and analyzed the answers using descriptive statistics and qualitative data analysis. Results. Our findings indicate similarities among the results obtained in Brazil in comparison to those obtained from other countries. We observed that students are not motivated to follow a testing career in the software industry based on a belief that testing activities lack challenges and opportunities for continuous learning. Conclusions. In summary, students seem to be interested in learning more about software testing. However, the lack of discussions about the theme in software development courses, as well as the limited offer of courses focused on software quality at the university level reduce the visibility of this area, which causes a decrease in the interest in this career.","PeriodicalId":182297,"journal":{"name":"Quality of Information and Communications Technology","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133622582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Quality Characteristics of a Software Platform for Human-AI Teaming in Smart Manufacturing 智能制造中人机协作软件平台的质量特征

Quality of Information and Communications Technology Pub Date : 2022-05-31 DOI: 10.48550/arXiv.2205.15767

Philipp Haindl, T. Hoch, Javier Dominguez, Julen Aperribai, N. K. Ure, Mehmet Tunçel

{"title":"Quality Characteristics of a Software Platform for Human-AI Teaming in Smart Manufacturing","authors":"Philipp Haindl, T. Hoch, Javier Dominguez, Julen Aperribai, N. K. Ure, Mehmet Tunçel","doi":"10.48550/arXiv.2205.15767","DOIUrl":"https://doi.org/10.48550/arXiv.2205.15767","url":null,"abstract":". As AI-enabled software systems become more prevalent in smart manufacturing, their role shifts from a reactive to a proactive one that provides context-speciﬁc support to machine operators. In the context of an international research project, we develop an AI-based software platform that shall facilitate the collaboration between human operators and manufacturing machines. We conducted 14 structured interviews with stakeholders of the prospective software platform in order to determine the individual relevance of selected quality characteristics for human-AI teaming in smart manufacturing. These characteristics include the ISO 25010:2011 standard for software quality and AI-speciﬁc quality characteristics such as trustworthiness, explicability, and auditability. The interviewees rated trustworthiness, functional suitability, reliability, and security as the most important quality characteristics for this context, and portability, compatibility, and maintainability as the least important. Also, we observed agreement regarding the relevance of the quality characteristics among interviewees having the same role. On the other hand, the relevance of each quality characteristics varied depending on the concrete use case of the prospective software platform. The interviewees also were asked about the key success factors related to human-AI teaming in smart manufacturing. They identiﬁed improving the production cycle, increasing operator eﬃciency, reducing scrap, and reducing ergonomic risks as key success criteria. In this paper, we also discuss metrics for measuring the fulﬁllment of these quality characteristics, which we intend to operationalize and monitor during operation of the prospective software platform. Trustworthiness Explicability · Auditability. of an AI-based software platform for human-AI teaming in smart manufacturing.","PeriodicalId":182297,"journal":{"name":"Quality of Information and Communications Technology","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122644341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

KNN-Averaging for Noisy Multi-objective Optimisation 噪声多目标优化的knn平均

Quality of Information and Communications Technology Pub Date : 2021-08-30 DOI: 10.1007/978-3-030-85347-1_36

Stefan Klikovits, Paolo Arcaini

引用次数: 2

A Checklist for Explainable AI in the Insurance Domain 保险领域中可解释AI的清单

Quality of Information and Communications Technology Pub Date : 2021-07-18 DOI: 10.1007/978-3-030-85347-1_32

Olivier Koster, Ruud Kosman, Joost Visser

引用次数: 1

Reverse Engineering of Quantum Programs Toward KDM Models 面向KDM模型的量子程序逆向工程

Quality of Information and Communications Technology Pub Date : 2020-09-09 DOI: 10.1007/978-3-030-58793-2_20

Luis Jiménez-Navajas, Ricardo Pérez-Castillo, M. Piattini

引用次数: 7

Systematic Literature Review of DevOps Models DevOps模型的系统文献综述

Quality of Information and Communications Technology Pub Date : 2020-09-09 DOI: 10.1007/978-3-030-58793-2_15

Monika Gasparaite, Kristina Naudziunaite, Saulius Ragaisis

引用次数: 3

Accountability in the A Posteriori Access Control: A Requirement and a Mechanism 后验访问控制中的问责:一种需求与机制

Quality of Information and Communications Technology Pub Date : 2020-09-09 DOI: 10.1007/978-3-030-58793-2_27

Farah Dernaika, N. Cuppens-Boulahia, F. Cuppens, Olivier Raynaud

引用次数: 4

The Human Factors of the Agile Software Tester 敏捷软件测试人员的人为因素

Quality of Information and Communications Technology Pub Date : 2020-09-09 DOI: 10.1007/978-3-030-58793-2_38

Lucas Paruch, V. Stray, Raluca Florea

引用次数: 3

A Cloud SecDevOps Methodology: From Design to Testing 云SecDevOps方法论:从设计到测试

Quality of Information and Communications Technology Pub Date : 2020-09-09 DOI: 10.1007/978-3-030-58793-2_26

V. Casola, Alessandra De Benedictis, M. Rak, Giovanni Salzillo

引用次数: 7

An Experience with the Application of Three NLP Tools for the Analysis of Natural Language Requirements 三种NLP工具在自然语言需求分析中的应用经验

Quality of Information and Communications Technology Pub Date : 2020-09-09 DOI: 10.1007/978-3-030-58793-2_39

Monica Arrabito, A. Fantechi, S. Gnesi, L. Semini

引用次数: 3