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Centro de Informática, Universidade Federal de Pernambuco (UFPE), Av. Jornalista Aníbal Fernandes, s/n, Cidade Universitária, Recife-PE, Brazil

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5 Papers

A Systematic Mapping Study in Security Software Testing for Mobile Devices

Topics: Security, Privacy and Trust ; Algorithms, software engineering and development; Testing (software engineering; penetration; product development)

Authors: Felipe Faustino ¹ , Jéssyka Vilela ¹ , Carla Silva ¹ and Mariana Peixoto ²

Affiliations: ¹ Centro de Informática, Universidade Federal de Pernambuco (UFPE), Av. Jornalista Aníbal Fernandes, s/n, Cidade Universitária, Recife-PE, Brazil , ² Universidade de Pernambuco (UPE), R. Cap. Pedro Rodrigues, s/n, São José, Garanhuns-PE, Brazil

Digital Object Identifier: 10.5220/0012552100003705

Proceedings of IoTBDS 2024, ISBN: 978-989-758-699-6

Quick Abstract

Context: Due to mobile devices’ popularity, they contain more valuable information. Problem: these devices face many security issues and challenges since smartphones are interesting for security attacks once they contain private and sensitive data. Objective: the aim of this paper is to investigate security testing techniques for mobile devices. Method: a Systematic Mapping Study (SMS) was conducted to identify solutions focused on software security testing for mobile devices. Results: 1264 primary papers were identified, and 17 relevant papers were selected. We found mobile security testing tends to be mostly: dynamic; automated testing; penetration testing; dynamic analysis. Conclusions: dynamic testing represents 58.82% of security testing, followed by static testing, 29.41%, and studies that present both of them 11.76%. It’s important to highlight that automated and semi-automated testing represent 88.23% of the studies and only 11.76% used manual testing.

A Systematic Mapping Study on Techniques for Generating Test Cases from Requirements

Topics: Security, Privacy and Trust ; Algorithms, software engineering and development; Testing (software engineering; penetration; product development)

Authors: Alessandro Rodrigues , Jéssyka Vilela and Carla Silva

Affiliation: Centro de Informática, Universidade Federal de Pernambuco (UFPE), Av. Jornalista Aníbal Fernandes, s/n – Cidade Universitária, Recife-PE, Brazil

Digital Object Identifier: 10.5220/0012551900003705

Proceedings of IoTBDS 2024, ISBN: 978-989-758-699-6

Quick Abstract

Context: Software testing can be costly for organizations. Techniques and tools that deal with the automatic generation of test cases provide a way to reduce the efforts employed and the time-to-market, in addition to increasing the quality of the software. Objective: This work aims to investigate the literature regarding techniques used to generate test cases from requirements automatically. Method: We performed a Systematic Mapping Study (SMS) using the Snowballing technique to investigate these techniques, the information presented in the test plan/case, the languages used to specify the requirements, and finally, the steps proposed by the techniques. Results: techniques such as Model-based testing (MBT) and Natural Language Processing (NLP) are the most used, mainly based on requirements specified through Natural Language that can be structured or not, as well as UML (Unified Modeling Language) diagrams. We also extracted and presented a series of languages and tools developed, and some are under development that perform this generation.

Artificial Intelligence in Sustainable Smart Cities: A Systematic Study on Applications, Benefits, Challenges, and Solutions

Topics: Industrial Applications of Artificial Intelligence; Wireless and Mobile Computing; Internet of Things; Cyber-Social Systems

Authors: Simone Santos , Jéssyka Vilela , Thiago Carvalho , Thiago Rocha , Thales Candido , Vinícius Bezerra and Daniel Silva

Affiliation: Centro de Informática, Federal University of Pernambuco, Recife, Brazil

Digital Object Identifier: 10.5220/0012617900003690

Proceedings of ICEIS 2024, ISBN: 978-989-758-692-7

Quick Abstract

In an era marked by rapid urban growth and environmental challenges, the advent of “smart cities” holds promise for a sustainable future. Central to the operational efficiency of these cities is the role of Artificial Intelligence (AI). This Systematic Literature Review addresses the critical question: How can AI be used in sustainable smart cities? Using Kitchenham’s guidelines, the review followed a three-step Planning, Conducting, and Reporting process. Through a comprehensive search in the databases ACM, IEEEXplore, Scopus, Science Direct, and Emerald, a total of 46 high-quality papers were identified. These papers were scrutinized to understand the AI services utilized in smart cities, the benefits, the challenges of implementation, and potential solutions to these challenges. Findings reveal that AI’s impact is multi-dimensional, affecting transportation, energy management, and citizen engagement, among other areas. However, several challenges remain, considering ethics and data management. This review serves as an exhaustive guide for researchers and policymakers interested in leveraging AI for sustainable urban development.

Content and Skills for Teaching BPM in Computer Science Courses: A Systematic Mapping Study

Topics: Synchronous and Asynchronous Learning; Blended Learning; Lifelong Learning: Continuing Professional Training & Development; Game-Based and Simulation-Based Learning; Engineering Education

Authors: Matheus Nobre and Jéssyka Vilela

Affiliation: Centro de Informática, Universidade Federal de Pernambuco (UFPE), Av. Jornalista Aníbal Fernandes, s/n – Cidade Universitária, Recife-PE, Brazil

Digital Object Identifier: 10.5220/0012629500003693

Proceedings of CSEDU 2024, ISBN: 978-989-758-697-2

Quick Abstract

The increasing demand for professionals in Business Process Management (BPM) highlights the need to align technical skills developed in education with market requirements, revealing a gap that requires investigating the essential content and skills for BPM education. This work aims to understand the content and skills addressed in BPM education, contributing substantially to understanding the current academic landscape of BPM. We conducted a systematic literature review to investigate the state of the art regarding BPM education. We also compared the content of the curriculum guidelines of the Brazilian Computing Society (SBC) and Business Process Management Common Body of Knowledge (BPM CBOK). In addition to providing a critical analysis of trends and gaps in the literature, this work offers insights that can be applied to enhance education in the field of BPM. The expectation is that the results obtained can inform the better training of professionals, aligning them effectively with the dynamic and specific market needs in terms of efficient BPM, thus promoting integration between theory and practice in the academic and professional context.

Impact of Team Formation Type on Students' Performance in PBL-Based Software Engineering Education

Topics: Metrics and Performance Measurement; Active Learning; Feedback and Learning Support; Engineering Education

Authors: Jéssyka Vilela , Simone C. dos Santos and Davi Maia

Affiliation: Centro de Informática, Universidade Federal de Pernambuco (UFPE), Av. Jornalista Aníbal Fernandes, s/n – Cidade Universitária, Recife-PE, Brazil

Digital Object Identifier: 10.5220/0012605800003693

Proceedings of CSEDU 2024, ISBN: 978-989-758-697-2

Quick Abstract

In Requirements Engineering (RE) Courses, it is a common teaching practice to adopt a Problem-Based Learning (PBL) approach in which the students are divided into teams to solve problems. These teams can be defined according to different criteria and evaluated using performance assessment models. This paper investigates the impact of team formation type on students’ performance in PBL-based software engineering education in RE courses. The study analyzes 25 teams across five postgraduate RE courses conducted in 2022 and 2023 using a mixed approach (qualitative and quantitative). In three of these courses, the students self-selected the teams (S); in the other two, a team formation method (TFM) was used. We analyzed how performance assessment results and project scores differ between self-selected and TFM-formed teams. We also explored how performance in some soft skills varies between assessments or team formation methods. The difference in average performance between S and TFM teams is statistically significant. We cannot conclude that there is a statistically significant difference in grades between the S and TFM teams. Interestingly, we also observed that the impact of the type of team formation is relatively stable, regardless of the assessment over time.