Browsing by Author "Ashour, O.I.A."

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Citation - Scopus: 0
Adoption of case tools & uml: A local study
(Association for Computing Machinery, 2020) Ashour, O.I.A.; Pusatli, T.
This research investigates the role of CASE tools in the software development process by considering importance of CASE in adopting a number of standards. A survey was conducted in six selected companies in Ankara in which semi-structured interviews are conducted with information system managers and developers as key informants. As results, CASE and UML are reported as being considerably used in Ankara with CASE tools being used for project members' communication and documentations. Furthermore, CASE tools have been used for some companies for documentation as parts of contracts and to follow standards such as ISO and CMMI. CASE tools are used to facilitate project developments, especially when enforced by the standards and methodologies required in the contracts. © 2020 ACM.
Citation - Scopus: 1
Comparative Analysis of Machine Learning Techniques using Customer Feedback Reviews of Oil and Gas Companies
(Association for Computing Machinery, 2020) Alrawi, L.N.; Ashour, O.I.A.
Sentiment analysis is the process of computationally identifying and categorizing opinions from a piece of text to determine whether the writer's attitude towards a practical topic, products or services is positive, negative or neutral. In this study, Machine Learning techniques are used to perform sentiment analysis on Oil and Gas customer feedback data. We present a comparison of different classification algorithms used for opinion mining, including Support Vector Machine (SVM), Naïve Bayes (NB), Instance Based Learning (IB3), Random Forest (RF), Partial Decision trees (PART), and Logit Boost (LB). Many studies have been performed on sentiment analysis in different sectors, but research into Oil and Gas customer feedback has been limited. Therefore, we have targeted a pathless sector, namely the Petroleum sector, where companies express their opinions towards specific products or services. Waikato Environment for Knowledge Analysis (WEKA) is used for experimental results. The WEKA environment is open source software entailing a collection of machine learning algorithms to solve data mining problems. The main aim of this study is to evaluate the efficiency of the above mentioned classifiers in terms of Precision, Recall, F-Measure and Accuracy. The findings of the comparison analysis indicate that the Naïve-Bayes classifier gives the best Accuracy of all classifiers. A small dataset could be considered as a limitation to our study due to the difficulty of gaining more datasets at the time of the research. However, this research will play a vital role for researchers in making decisions about the algorithm that they are going to use to solve their data mining problems. © 2020 ACM.
Citation - Scopus: 2
Web application based on MVC laravel architecture for online shops
(Association for Computing Machinery, 2020) Mahmood, M.T.; Ashour, O.I.A.
Working with traditional methods to develop a web application has great limitations, is very time-consuming and can lead to a number of unexpected errors. Therefore, a new technology, namely MVC pattern frameworks, was found by some companies to deal with such issues. In this paper, we present a design and implementation for a web-based application for e-commercial shops and third-parties to buy products from online shops using the Laravel framework. As result of our research, we were able to determine that the development was standardized and non-business logic relationships were automatically processed. Moreover, there was much scalability, which provided us with more efficiency through the implementations. © 2020 ACM.
Citation - Scopus: 0
A Web Application for Company Reports Management System
(Association for Computing Machinery, 2020) Hamer, H.M.; Ashour, O.I.A.; Ilyas, M.
Electronic management is administrative strategy in age of the information for achieving best services to the people and institutions by using information resources and reducing time, cost and effort. In this research we converted a paper work system into electronic management for a report system in a oil company. The proposed system uses the web application using PHP and MySQL. The system proposed achieved the purpose of this study. by applying an electronic system for reports management, this system contains database for storing the report resources information for the company, it provides access easily to data through GUI which contains many of keys to conduct different processes on data, such as modification and query. This system allows just for authorized users to access the system through protection windows. Also, the proposed system leads to convert the paper information to electronic information and saved it in the database. Protecting the information electronically, which were in previous as a paper documents prone to damage. © 2020 ACM.