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17 results on '"Husni, Moath"'

1. Using an Expert Panel to Validate the Malaysian SMEs-Software Process Improvement Model (MSME-SPI)

Author

Almomani, Malek, Basri, Shuib, Almomani, Omar, Capretz, Luiz Fernando, Balogun, Abdullateef, Husni, Moath, and Gilal, Abdul Rehman

Subjects
Computer Science - Software Engineering
Abstract

This paper presents the components of a newly developed Malaysian SMEs - Software Process Improvement model (MSME-SPI) that can assess SMEs soft-ware development industry in managing and improving their software processes capability. The MSME-SPI is developed in response to practitioner needs that were highlighted in an empirical study with the Malaysian SME software development industry. After the model development, there is a need for independent feedback to show that the model meets its objectives. Consequently, the validation phase is performed by involving a group of software process improvement experts in examining the MSME-SPI model components. Besides, the effectiveness of the MSME-SPI model is validated using an expert panel. Three criteria were used to evaluate the effectiveness of the model namely: usefulness, verifiability, and structure. The results show the model effective to be used by SMEs with minor modifications. The validation phase contributes towards a better understanding and use of the MSME-SPI model by the practitioners in the field.

Published
2021
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2. Using an Expert Panel to Validate the Malaysian SMEs-Software Process Improvement Model (MSME-SPI)

Author

Almomani, Malek A., Basri, Shuib, Almomani, Omar, Capretz, Luiz Fernando, Balogun, Abdullateef, Husni, Moath, Gilal, Abdul Rehman, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Silhavy, Radek, editor, Silhavy, Petr, editor, and Prokopova, Zdenka, editor

Published
2020
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3. Phishing detection using grey wolf and particle swarm optimizer.

Author

Hamdan, Adel, Tahboush, Muhannad, Adawy, Mohammad, Alwada'n, Tariq, Ghwanmeh, Sameh, and Husni, Moath

Subjects
GREY Wolf Optimizer algorithm, PARTICLE swarm optimization, METAHEURISTIC algorithms, FEATURE selection, PHISHING
Abstract

Phishing could be considered a worldwide problem; undoubtedly, the number of illegal websites has increased quickly. Besides that, phishing is a security attack that has several purposes, such as personal information, credit card numbers, and other information. Phishing websites look like legitimate ones, which makes it difficult to differentiate between them. There are several techniques and methods for phishing detection. The authors present two machine-learning algorithms for phishing detection. Besides that, the algorithms employed are XGBoost and random forest. Also, this study uses particle swarm optimization (PSO) and grey wolf optimizer (GWO), which are considered metaheuristic algorithms. This research used the Mendeley dataset. Precision, recall, and accuracy are used as the evaluation criteria. Experiments are done with all features (111) and with features selected by PSO and GWO. Finally, experiments are done with the most common features selected by both PSO and GWO (PSO n GWO). The result demonstrates that system performance is highly acceptable, with an F-measure of 91.4%. [ABSTRACT FROM AUTHOR]

Published
2024
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5. Current Web Application Development and Measurement Practices for Small Software Firms

Author

Ahmad, Faudziah, Baharom, Fauziah, and Husni, Moath

Subjects
Computer Science - Software Engineering
Abstract

This paper discusses issues on current development and measurement practices that were identified from a pilot study conducted on Jordanian small software firms. The study was to investigate whether developers follow development and measurement best practices in web applications development. The analysis was conducted in two stages: first, grouping the development and measurement practices using variable clustering, and second, identifying the acceptance degree. Mean interval was used to determine the degree of acceptance. Hierarchal clustering was used to group the development and measurement practices. The actual findings of this survey will be used for building a new methodology for developing web applications in small software firms., Comment: 5 pages, 2 figures an 9 tables; IJCSI 2012

Published
2012

6. Investigating the Awareness of Applying the Important Web Application Development and Measurement Practices in Small Software Firms

Author

Ahmad, Faudziah, Baharom, Fauziah, and Husni, Moath

Subjects
Computer Science - Software Engineering
Abstract

This paper aims to discuss the pilot study and analysis of the current development and measurement practices in Jordanian small software firms. It is conducted because most developers build web applications without using any specific development method and don't know how to integrate the suitable measurements inside the process to improve and reduce defect, time and rework of the development life cycle. Furthermore the objectives of this pilot study are firstly; determine the real characteristics of small software firms in Jordan. Secondly, investigate the current development and measurement practices. Thirdly, examine the need of new development methodology for building web application in small software firms. Consequently, Pilot survey was conducted in Jordanian small software firms. Descriptive statistics analysis was used to rank the development and measurements methods according to their importance. This paper presents the data, analysis and finding based on pilot survey. These actual findings of this survey will contribute to build new methodology for developing web applications in small software firms taking to account how to integrate the suitable measurement program to the whole development process and also will provide useful information to those who are doing research in the same area., Comment: 11 pages, 2 figures and 7 tables

Published
2012

9. Mushroom classification using machine-learning techniques.

Author

Tarawneh, Omar, Tarawneh, Monther, Sharrab, Yousef, and Husni, Moath

Subjects
MACHINE learning, MUSHROOMS, EDIBLE mushrooms, DECISION trees, CLASSIFICATION
Abstract

Mushroom is one of the important ingredient in our food that has good nutrients. Most types of mushroom are poisonous (inedible), and because of its importance, we need to identify poisonous from eatable mushrooms. Machine learning (ML) techniques such as naïve Bayes, decision tree, SVM, and more applied on mushroom features to classify it into edible or not. There is a limited research on mushroom classification, existed research focus on applying ML techniques individually, where some algorithm perform better in term of accuracy. This research proposed an integrated model that combine most accurate technique's decisions into one decision instead off treating them individually. Mushroom dataset downloaded from UCI repository. Results shows that the performance of the integrated model outperform other techniques by 94% accuracy. [ABSTRACT FROM AUTHOR]

Published
2023
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15. Identification of suitable web application development methods for small software firms

Author

Husni, Moath, Baharom, Fauziah, Ahmad, Faudziah, Husni, Moath, Baharom, Fauziah, and Ahmad, Faudziah

Abstract

Many development methods have been proposed for developing web application in small software firms.However, these methods have some limitations.This paper aims to identify the suitable development methods for building high quality web application.In order to achieve this objective, a comparative study was conducted on several current development methods.Comparisons were made according to five criteria that include fitted to 10-50 size, simplicity, flexible to change, customer collaboration and quality assurance used measurement program(QAMP).The findings of this paper will be used as a baseline for building a new development methodology for small software firms that emphasize on monitoring.

Published
2013

16. Agile development methods for developing web application in small software firms

Author

Ahmad, Faudziah, Baharom, Fauziah, Husni, Moath, Ahmad, Faudziah, Baharom, Fauziah, and Husni, Moath

Abstract

Small software firms that involved with developing web application are lacked of well defined development process. Many development methods have been proposed for developing web application in these firms. However, these methods have some limitations.This paper aims to identify the agile development methods that are suitable for small development teams and determine the enhancements needed to get high quality web application.In order to achieve these objectives a comparative study was conducted on the suitable agile development methods that have been selected. Comparisons were made according to a set of criteria that include development process, project management, requirement, testing and design.The findings of this paper will be used as baseline for building a new measurable web application development methodology for small software firms.

Published
2012

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