IoT adoption and application for smart healthcare: a systematic review

M Al-Rawashdeh, P Keikhosrokiani, B Belaton… - Sensors, 2022 - mdpi.com
In general, the adoption of IoT applications among end users in healthcare is very low.
Healthcare professionals present major challenges to the successful implementation of IoT …

Machine learning based methods for software fault prediction: A survey

SK Pandey, RB Mishra, AK Tripathi - Expert Systems with Applications, 2021 - Elsevier
Several prediction approaches are contained in the arena of software engineering such as
prediction of effort, security, quality, fault, cost, and re-usability. All these prediction …

[HTML][HTML] Successful combination of database search and snowballing for identification of primary studies in systematic literature studies

C Wohlin, M Kalinowski, KR Felizardo… - Information and Software …, 2022 - Elsevier
Background: A good search strategy is essential for a successful systematic literature study.
Historically, database searches have been the norm, which was later complemented with …

[HTML][HTML] Quantum computing challenges in the software industry. A fuzzy AHP-based approach

U Awan, L Hannola, A Tandon, RK Goyal… - Information and Software …, 2022 - Elsevier
Context The current technology revolution has posed unexpected challenges for the
software industry. In recent years, the field of quantum computing (QC) technologies has …

Negative effects of gamification in education software: Systematic map** and practitioner perceptions

C Almeida, M Kalinowski, A Uchôa, B Feijó - Information and Software …, 2023 - Elsevier
Context: While most research shows positive effects of gamification, the focus on its adverse
effects is considerably smaller and further understanding of these effects is needed …

Planning zero-emissions ports through the nearly zero energy port concept

N Sifakis, T Tsoutsos - Journal of Cleaner Production, 2021 - Elsevier
This research work attempts to review and compare the available scientific literature, to
identify several crucial research opportunities, and to achieve the challenge of putting the …

[HTML][HTML] Guiding the selection of research methodology in industry–academia collaboration in software engineering

C Wohlin, P Runeson - Information and software technology, 2021 - Elsevier
Background: The literature concerning research methodologies and methods has increased
in software engineering in the last decade. However, there is limited guidance on selecting …

Mining and socio-ecological systems: A systematic review of Sub-Saharan Africa

XT Tiamgne, FK Kalaba, VR Nyirenda - Resources Policy, 2022 - Elsevier
This study adapted a socio-ecological framework to review Drivers of mining Activities, the
environmental Pressures, the State of changes, their Impacts on human Welfare, and the …

Requirements engineering for machine learning: A systematic map** study

H Villamizar, T Escovedo… - 2021 47th Euromicro …, 2021 - ieeexplore.ieee.org
Machine learning (ML) has become a core feature for today's real-world applications,
making it a trending topic for the software engineering community. Requirements …

Machine learning for software engineering: A tertiary study

Z Kotti, R Galanopoulou, D Spinellis - ACM Computing Surveys, 2023 - dl.acm.org
Machine learning (ML) techniques increase the effectiveness of software engineering (SE)
lifecycle activities. We systematically collected, quality-assessed, summarized, and …