Pull Request e Code Smells: uma análise em aplicações móveis / Pull Request and Code Smells: an analysis in mobile applications

2021 ◽  
Vol 7 (8) ◽  
pp. 80542-80550
Author(s):  
Matheus Antonio Flauzino ◽  
Eduardo Gomes Carvalho ◽  
Hebert Rausch Fernandes ◽  
Lázaro Eduardo Silva ◽  
Daniel Guimarães Lago
IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 61853-61863
Author(s):  
Mohammad A. Alkandari ◽  
Ali Kelkawi ◽  
Mahmoud O. Elish

2019 ◽  
Vol 105 ◽  
pp. 43-55 ◽  
Author(s):  
Fabio Palomba ◽  
Dario Di Nucci ◽  
Annibale Panichella ◽  
Andy Zaidman ◽  
Andrea De Lucia

Author(s):  
Luis Cruz ◽  
Rui Abreu

The ever-growing popularity of mobile phones has brought additional challenges to the software development lifecycle. Mobile applications ought to provide the same set of features as conventional software, with limited resources: such as limited processing capabilities, storage, screen and, not less important, power source. Although energy efficiency is a valuable requirement, developers often lack knowledge of best practices. In this paper, we propose a tool to improve the energy efficiency of Android applications using automatic refactoring — Leafactor. The tool features five energy code smells that tend to go unnoticed. In addition, we study whether automatic refactoring can aid developers to ship energy efficient mobile applications with a dataset of 140 free and open source apps. As a result, we detect and fix code smells in 45 Android apps, from which 40% have successfully merged our changes into the official repository.


2019 ◽  
Vol 16 (2) ◽  
pp. 281-285 ◽  
Author(s):  
Amanda Edwards-Stewart ◽  
Cynthia Alexander ◽  
Christina M. Armstrong ◽  
Tim Hoyt ◽  
William O'Donohue

2018 ◽  
Vol 46 ◽  
pp. 101-106
Author(s):  
Chiara Bianchizza ◽  
Simone Frigerio ◽  
Luca Schenato ◽  
Daniele Del Bianco

Author(s):  
M. A. H. Mohd Adib ◽  
N. H. M. Hasni

Driving with brady-tachy syndrome is one of the main causes of car accidents. In order to prevent drivers from brady-tachy driving, there is a strong demand for driver monitoring systems. Other than problems in driving attitudes and skills, road accidents are also caused by uncontrollable factors such as medical conditions and drowsiness. These factors can be avoided by having early detection. Therefore, the brady-tachy heart automotive so-called BT-Heartomotive device is developed. This BT-Heartomotive device can detect early signs of drowsiness and health problems by measuring the heart rate of the drivers during driving. The device also could use the data to send an alert to the passengers that they’re in precaution. The device shows a good accuracy in the detection of the heart rate level. The device comprised three main components; wristband, monitor and integrated mobile applications. Heart rate measurement can reveal a lot about the physical conditions of an individual. The BT-Heartomotive device is simple, easy to use and automated.


Author(s):  
Karandeep Singh Singh ◽  
Kaitlin Drouin Drouin ◽  
Lisa P. Newmark Newmark ◽  
Ronen Rozenblum Rozenblum

Author(s):  
E. Ramganesh ◽  
E. Kirubakaran ◽  
D. Ravindran ◽  
R. Gobi

The m-Governance framework of auniversity aims to utilize the massive reach of mobile phones and harness the potential of mobile applications to enable easy and round the-clock access to the services of its affiliated institutions.  In the current mobile age there is need for transforming e-governance services to m-Governance as m-Governance is not a replacement for e-Governance rather it complements e-Governance. With this unparalleled advancement of mobile communication technologies, universities are turning to m-governance to realize the value of mobile technologies for responsive governance and measurable improvements to academic, social and economic development, public service delivery, operational efficiencies and active stakeholder engagement. In this context the present study, aims to develop and validate a m-governance framework of a university by extending Technology Acceptance Model (TAM) with its prime stakeholders so called the Heads of the affiliated institutions. A survey instrument was developed based on the framework and it was administered with 20 Heads of the affiliated Institutions. The results also showed that the Heads of the affiliated Institutions expressed their favorableness towards m-governance adoption.


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