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A learners experience with the games education in software engineering

Tariq, Muhammad Imran; Diaz-Martinez, Jorge; aziz, shariq; Javaid, Adeel; De-La-Hoz-Franco, Emiro; Mihaela Dicu, Anca (Corporación Universidad de la Costa, 2020)

The utilization of games and its components in software building training isn’t new. In reality, their usage in Software development training is found to look into papers for numerous decades. Be that as it may, there is ...
A Smart health monitoring application for patients to improve health

Ariza Colpas, Paola Patricia; aziz, shariq ; Tariq, Muhammad Imran; Morales Ortega, Roberto; Waqas Anjum, Muhammad; Piñeres Melo, Marlon Alberto (Springer International Publishing AGSwitzerland, 2021)

Health is growing nowadays due to technological revolutions. These revolutions make health smart and easy to monitor the patient at their location. In this paper, we are suggesting and developing the smart health monitoring ...
Combination of AHP and TOPSIS methods for the ranking of information security controls to overcome its obstructions under fuzzy environment

Tariq, Muhammad Imran; Tayyaba, Shahzadi; Ali Mian, Natash; Sarfraz, Muhammad Shahzad; De-la-Hoz-Franco, Emiro; Butt, Shariq Aziz; Santarcangelo, Vito; Rad, Dana V (Corporación Universidad de la Costa, 2020)

The organizations utilizing the cloud computing services are required to select suitable Information Security Controls (ISCs) to maintain data security and privacy. Many organizations bought popular products or traditional ...
Machine learning applied to datasets of human activity recognition: data analysis in health care

Ariza Colpas, Paola Patricia; Enrico, Vicario; Butt Aziz, Shariq; De-La-Hoz-Franco, Emiro; Piñeres Melo, Marlon Alberto; Oviedo Carrascal, Ana Isabel; Tariq, Muhammad Imran; García Restrepo, Johanna Karina; PATARA, FULVIO (Bentham Science Publishers B.V.United Arab Emirates, 2022)

Background: In order to remain active and productive, older adults with poor health require a combination of advanced methods of visual monitoring, optimization, pattern recognition, and learning, which provide safe and ...
Predictive variables for agile development merging cloud computing services

Aziz Butt, Shariq; Tariq, Muhammad Imran; Jamal, Tauseef; Ali, Arshad; Martínez-Díaz, Jorge; De-La-Hoz-Franco, Emiro (IEEE Access, 2019-08-07)

Cloud Technology is a most challenging modern area in the ﬁeld of modern technologies in whichassets(e.g.,CPUandcapacity)canberentedanddischargedbytheclientsthroughinterneton-demand basis. The cloud computing has been ...
Project management issues while using agile methodology

aziz, shariq ; Piñeres Espitia, Gabriel Dario; Ariza Colpas, Paola Patricia; Tariq, Muhammad Imran (Springer VerlagGermany, 2022)

Software engineering has many software development life cycle (SDLC) models to develop a software application and the latest SDLC models have been provided by agile methods. The agile methodology has been introduced due ...

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A learners experience with the games education in software engineering
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Tariq, Muhammad Imran | 2020

The utilization of games and its components in software building training isn’t new. In reality, their usage in Software development training is found to look into papers for numerous decades. Be that as it may, there is little data about the real reception of these methodologies in games designing and development training in terms of software building. Consequently, the objective of this paper is to research the utilization of game’s components in programming designing instruction, in the viewpoint of teachers. To accomplish this objective, this examination proposes and breaks down the aftereffects of a study replied by numerous product designing teachers. We test the members by welcoming multiple instructors from settled colleges and instructive organizations of various districts. The first objective of the review is to gather data relates to the utilization of important games and rich gamification in the student classrooms, and the second objective is to comprehend information territories and the pre-owned game-related techniques. The outcomes show that the more significant part of the educators knows about these instructive methodologies, the games were embraced by various members. Games that are generally played to cover “Programming Process” & “Task Management.” The utmost utilized game apparatuses are Points scoring, Quizzes solving, and meet challenges. The outcomes additionally reveal that the fundamental explanations behind not embracing the assets are the absence of information, lack of data about essential games for encouraging programming designing, and the absence of time to design and remember these methodologies for the classes At long last, results show a definite propensity towards the future appropriation of these game-related methodologies by the product developing teachers.

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A Smart health monitoring application for patients to improve health
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Ariza Colpas, Paola Patricia | 2021

Health is growing nowadays due to technological revolutions. These revolutions make health smart and easy to monitor the patient at their location. In this paper, we are suggesting and developing the smart health monitoring scenario. In our system, we are monitoring patients with the disease of frequent urine due to diabetes, stiffness of bones due to ortho disease, and heart rate monitoring due to heart disease we used some statically measured to find results from the generated data during the monitoring. Our system reveals that the scenario we created for monitoring patients at their location is more accurate and valuable during the decision-making to take appropriate action. Objective of this study is to support the elder patients for their remote health monitoring with the trustworthy scenario. We used an app development method for it. We used almost 10 patients to evaluate the results of our developed system. The study reveals that our developed system is very valuable for elder patients’ health monitoring. We selected 10 patients with the mentioned diseases to monitor them and check the validity of our developed system. We find that our developed system is very efficient and useful for monitoring and generating an alarm in the case of any abnormality situations. In conclusion, there is an essential need for such systems that monitor the patient effectively and take decisions timely. In this paper, we implemented a model for elder patients to monitor the patient with different diseases such as frequent urine sugar levels, and stiffness in bones. For this, we deployed sensors in the patient’s body and attached them to the mobile to transmit the data to the other ends. We also set an alarming stage in the system when there is any abnormality condition observed. The study reveals that there is a need for a more precise and decision support mechanism for disease monitoring to enhance the elder people life.

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Combination of AHP and TOPSIS methods for the ranking of information security controls to overcome its obstructions under fuzzy environment
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Tariq, Muhammad Imran | 2020

The organizations utilizing the cloud computing services are required to select suitable Information Security Controls (ISCs) to maintain data security and privacy. Many organizations bought popular products or traditional tools to select ISCs. However, selecting the wrong information security control without keeping in view severity of the risk, budgetary constraints, measures cost, and implementation and mitigation time may lead to leakage of data and resultantly, organizations may lose their user’s information, face financial implications, even reputation of the organization may be damaged. Therefore, the organizations should evaluate each control based on certain criteria like implementation time, mitigation time, exploitation time, risk, budgetary constraints, and previous effectiveness of the control under review. In this article, the authors utilized the methodologies of the Multi Criteria Decision Making (MCDM), Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to help the cloud organizations in the prioritization and selection of the best information security control. Furthermore, a numerical example is also given, depicting the step by step utilization of the method in cloud organizations for the prioritization of the information security controls.

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Machine learning applied to datasets of human activity recognition: data analysis in health care
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Ariza Colpas, Paola Patricia | 2022

Background: In order to remain active and productive, older adults with poor health require a combination of advanced methods of visual monitoring, optimization, pattern recognition, and learning, which provide safe and comfortable environments and serve as a tool to facilitate the work of family members and workers, both at home and in geriatric homes. Therefore, there is a need to develop technologies to provide these adults autonomy in indoor environments. Objective: This study aimed to generate a prediction model of daily living activities through classification techniques and selection of characteristics in order to contribute to the development in this area of knowledge, especially in the field of health. Moreover, the study aimed to accurately monitor the activities of the elderly or people with disabilities. Technological developments allow predictive analysis of daily life activities, contributing to the identification of patterns in advance in order to improve the quality of life of the elderly. Methods: The vanKasteren, CASAS Kyoto, and CASAS Aruba datasets were used to validate a predictive model capable of supporting the identification of activities in indoor environments. These datasets have some variation in terms of occupation and the number of daily living activities to be identified. Results: Twelve classifiers were implemented, among which the following stand out: Classification via Regression, OneR, Attribute Selected, J48, Random SubSpace, RandomForest, RandomCommittee, Bagging, Random Tree, JRip, LMT, and REP Tree. The classifiers that show better results when identifying daily life activities are analyzed in the light of precision and recall quality metrics. For this specific experimentation, the Classification via Regression and OneR classifiers obtain the best results. Conclusion: The efficiency of the predictive model based on classification is concluded, showing the results of the two classifiers, i.e., Classification via Regression and OneR, with quality metrics higher than 90% even when the datasets vary in occupation and number of activities.

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Predictive variables for agile development merging cloud computing services
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Aziz Butt, Shariq | 2019-08-07

Cloud Technology is a most challenging modern area in the ﬁeld of modern technologies in whichassets(e.g.,CPUandcapacity)canberentedanddischargedbytheclientsthroughinterneton-demand basis. The cloud computing has been giving virtual computing services to a little, medium and extensive industries, and services, for example, infrastructure as a service (IaaS), platform as a service (PaaS), and softwareasaservice(SaaS).Cloudcomputinghasagreatcombinationwiththeagilesoftwaredevelopment as a research area. Many researchers worked in Agile Cloud ﬁeld. The software industries are using the agile methodology for efﬁcient software development need some platform to get quick feedback from the client. Therefore, the agile-cloud is a great combination for it but due to security reasons that directly inﬂuence the less adoption of cloud in software industries. This paper reports the survey results of software industries. The total of seven IT industries and many professionals was involved in this paper. However, this paper also contributes and reveals how existing issues can affect agile-cloud adoption for efﬁcient software development. Furthermore, we do not ﬁnd any type of survey conducted in Pakistan’s software industries-related to cloud-agile adoption.

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Project management issues while using agile methodology
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aziz, shariq | 2022

Software engineering has many software development life cycle (SDLC) models to develop a software application and the latest SDLC models have been provided by agile methods. The agile methodology has been introduced due to some existing lacks in software development. Now agile methodology is used to overcome these deficiencies and improve software development. The use of the agile methodology is increased within software industries due to its distinctive features such as enabling change requests from the client at any stage of a project, client satisfaction, iterative development, and client-developer interaction. Another reason for agile adoption is the methods that are being used for agile software development. These methods include Scrum, Feature drive development, Extreme programming, and Dynamic system development methods. However, the agile methodology has some issues for project development and management. In this study, we discuss all these issues which are related to agile methods and individuals (i.e. team and developer). Further, we suggest the possible improvements that need to be introduced in the agile methodology. We believe such improvements is to make the agile methodology more productive for development environments.

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Browsing by Author "Tariq, Muhammad Imran"

A learners experience with the games education in software engineering ﻿

A Smart health monitoring application for patients to improve health ﻿

Combination of AHP and TOPSIS methods for the ranking of information security controls to overcome its obstructions under fuzzy environment ﻿

Machine learning applied to datasets of human activity recognition: data analysis in health care ﻿

Predictive variables for agile development merging cloud computing services ﻿

Project management issues while using agile methodology ﻿

Envíos recientes

A learners experience with the games education in software engineering

A Smart health monitoring application for patients to improve health

Combination of AHP and TOPSIS methods for the ranking of information security controls to overcome its obstructions under fuzzy environment

Machine learning applied to datasets of human activity recognition: data analysis in health care

Predictive variables for agile development merging cloud computing services

Project management issues while using agile methodology

A learners experience with the games education in software engineering

A Smart health monitoring application for patients to improve health

Combination of AHP and TOPSIS methods for the ranking of information security controls to overcome its obstructions under fuzzy environment

Machine learning applied to datasets of human activity recognition: data analysis in health care

Predictive variables for agile development merging cloud computing services

Project management issues while using agile methodology