End-User Development Tools for the Smart Home: A Systematic Literature Review

Author(s):  
Daniela Fogli ◽  
Rosa Lanzilotti ◽  
Antonio Piccinno
Information ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 314
Author(s):  
Jimmy Molina Ríos ◽  
Nieves Pedreira-Souto

The current inclusion of agile methodologies in web-oriented projects has been considered on a large-scale by software developers. However, the benefits and limitations go beyond the comforts that project managers delimit when choosing them. Selecting a methodology involves more than only the associated processes or some documentation. Based on the above, we could define as the main concerns the approach with which we identify the methodology, the needs of the company, the size, and qualities of the project, and especially the characteristics of agile development that they possess. However, there are several difficulties in selecting the most appropriate methodology due to the features in common; Will it be suitable for my project? What challenges will be presented in the process? Will my team understand each stage? Will I be able to deliver software that satisfies the client? Project managers create these questions, which seem manageable but have huge effects. This paper presents a systematic literature review based on the analysis of the approaches of six web development methodologies. The aim of the study is to analyze the approaches presented by relevant methodologies, identifying their common agile characteristics and managing to contrast both its benefits and limitations during a project. As a result, we could itemize five common features, which are presented within the processes; (1) flexibility, (2) constant communication of the workgroup, (3) use of UML, (4) the inclusion of the end-user and (5) some documentation.


Author(s):  
Jessica M. Palomares-Pecho ◽  
Greis Francy M. Silva-Calpa ◽  
Alberto B. Raposo

2020 ◽  
Vol 3 (1) ◽  
pp. 43-53
Author(s):  
Fahrur Rozi

Nowadays IoT researches on intelligent service systems is becoming a trend. IoT produces a variety of data from sensors or smart phones. Data generated from IoT can be more useful and can be followed up if data analysis is carried out. Predictive analytic with IoT is part of data analysis that aims to predict something solution. This analysis utilization produces innovative applications in various fields with diverse predictive analytic methods or techniques. This study uses Systematic Literature Review (SLR) to understand about research trends, methods and architecture used in predictive analytic with IoT. So the first step is to determine the research question (RQ) and then search is carried out on several literature published in popular journal databases namely IEEE Xplore, Scopus and ACM from 2015 - 2019. As a result of a review of thirty (30) selected articles, there are several research fields which are trends, namely Transportation, Agriculture, Health, Industry, Smart Home, and Environment. The most studied fields are agriculture. Predictive analytic with IoT use varied method according to the conditions of data used. There are five most widely used methods, namely Bayesian Network (BN), Artificial Neural Network (ANN), Recurrent Neural Networks (RNN), Neural Network (NN), and Support Vector Machines (SVM). Some studies also propose architectures that use predictive analytic with IoT.


Author(s):  
Adekunle Oluseyi Afolabi ◽  
Pekka Toivanen ◽  
Keijo Haataja ◽  
Juha Mykkänen

This systematic literature review is aimed at examining empirical results and practical implementations of healthcare recommender systems. While fundamentally many of the development of recommender systems in medical and healthcare are based on theory and logic, the performance is always measured in terms of empirical results and practical implementations from evaluation of such systems. Besides, the ultimate judgment of the effectiveness of the methods and algorithms used is often based on the empirical results of recommender systems. Robustness, efficiency, speed, and accuracy are also best determined by empirical results. Extensive search was carried out in some major databases. Literature were grouped into three categories namely core, related, and relevant. The core papers were subjected to further analysis. The result shows that most work reviewed were partially evaluated and have a promising future. Moreover, a yet-to-be explored novel proposal for integration of a recommender system into smart home care is presented.


Author(s):  
Dagmawi Neway Mekuria ◽  
Paolo Sernani ◽  
Nicola Falcionelli ◽  
Aldo Franco Dragoni

2021 ◽  
pp. 1-20
Author(s):  
Jiahe Bian ◽  
Wei Li ◽  
Sinan Zhong ◽  
Chanam Lee ◽  
Margaret Foster ◽  
...  

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 92244-92261 ◽  
Author(s):  
Kholoud Maswadi ◽  
Norjihan Binti Abdul Ghani ◽  
Suraya Binti Hamid

Sign in / Sign up

Export Citation Format

Share Document