bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Automated Test Case Generating Tool Using UML Activity Diagram
Authors: Abdul Monim Md , Nor Haizan Nor Rozi 
Published: July 2024

Software or application testing is a process of executing a program with the goal of finding defect to make better system. In software testing phase, writing test cases is one of the important activities. Manually writing test cases approach is lengthy of time period and need more effort to accomplish the process. On the other hand, automated test case generation technique is the way to solve this issue and model-based test case generation approach would be the appropriate for this automation process. Usually, a model is required in model-based testing approach to generate the test cases and UML activity diagram is the model in our research. In this paper, we explained our proposed model-based test case generating approach and we successfully developed a tool based on our proposed technique that could generate test cases automatically using UML activity diagram as an input. Finally, we conducted an experiment on a real life simple application of a system using the tool and successfully able to show that our tool can produce same test cases as manually writing test cases of the same system but this tool can save a lot of time and effort as well.Â Â
Enhanced Bring your Own Device (BYOD) Environment Security based on Blockchain Technology
Authors: Jamal Fara , Taufik Abdullah Mohd. , Abdullah Azizol , Mohd. Hanapi Zurina 
Published: July 2024

BYOD is a practice by many organizations where employees can use their personal devices for work purpose. BYOD may bring a lot of advantages, but it also leads to security issues such as data leakages. Data can beÂ leakedÂ because of the weak authentication technique used to verify the user and the device. A secure authentication technique is whatÂ the organizationÂ needsÂ that equip with high security features. BlockchainÂ is the answer to this because blockchainÂ used cryptographic technology thatâ€™s not easy for hacker to break. This research proposes a user trust model that includes multifactor authentication combining with public and private key generated by blockchain and an agentless device trust model that can scan for malware and detect the device location. In order to secure the record and sensitive data, the record keeping model is built using blockchain technology where every activity related to the record is recorded in the digital ledger. This ledger can be used as evidence collection for further investigation. It is hoped the proposedÂ BYOD trust model solution can help organizations to minimize the number of cases in data leakage while allowing BYOD concept.Â Â
Design and Development of Topic-based Studentsâ€™ Knowledge Modelling System using Fuzzy Set Theory and Visual Analytics
Authors: Thing Ng Wen , Siong Teh Chee , Jen Chen Chwen 
Published: July 2024

To the field of education, advances in technologies raise opportunities and challenges in delivering personalised learning to heterogeneous group of learners while monitoring and analysing their learning progress and learning outcomes. This paper addresses the challenges of gaining a big picture about learnersâ€™ knowledge that is essential for providing personalised learning. Next, a system that models studentsâ€™ knowledge is proposed in which topic-based approach, fuzzy set theory, and visual analytics were applied to design and develop the proposed system.Â The proposed system was designed with the capabilities to model, analyse and report individual learnerâ€™s knowledge, whereas its applicability was presented and discussed based on a real-world case study.Â Â
A Model on Multiple Perspectives of Citizensâ€™ Trust in using Social Media for E-Government Services
Authors: Khan Sohrab , Zairah Ab. Rahim Nor , Maarop Nurazean 
Published: July 2024

The lack of trust has a critical role in discouraging citizens to use social media for e-government services. Therefore, developing trust is an essential need for making citizensâ€™ comfortable to participate in government social media services. Majority of previous studies on the relationship with trust between government and people have been conducted on e-government websites. Those studies are quite narrow in terms of their scope to address multiple aspects of citizens trust. On the contrary, the context of using social media for e-government services has not received much attention by previous researchers. This study proposes an integrated model of trust from multiple perspectives with an objective to identify those factors that can influence citizensâ€™ trust in context of using social media as a technology for e-government services. The constructs in the proposed model were integrated from the trust literature and Technology Acceptance Model (TAM). The findings reveal individual characteristics, government factors, risk factors and social media characteristics as multiple antecedents of citizenâ€™s trust to use social media for e-government services. A research instrument was developed and validated to examine the proposed model. A pilot study was conducted, and the instrument was refined based on its results.Â Â
Applying Agile Concepts from Software Development into the Design of Flood Disaster Management Framework
Authors: F.Mat Saad M. , Abdul Latif A. , Othman M. , S.A. MOHD NOOR M. 
Published: July 2024

Managing complex environment often requires flexibility in its processes. This is evident in flood management where the factors that determine the success of it is uncertain. A flexible flood management requires an agile frame-work that allows flexibility to respond to any possible event during a disaster. The concept of agile methods used in software development help to provide values that is used as a basis in offering agility in managing flood complexity. These values are observed during field studies of Standard Operating Procedures (SOP) implementation in managing flood impact at selected flood sites in Malaysia.Â This study aim to identify the key values of agility in developing a framework based on the review of agile methods combined with factors identified from study of successful flood management. The developed framework is aligned with uncertainties mitigation by dividing the disaster areas into small sub-areas, improving communication, and empowering on-site response team with clear leadership.Â Â
Towards Employing Metrics in Measuring the Quality of Software Safety Critical Systems and Managing their Development
Authors: Din Jamilah , Din Rodziah , Yah Jusoh Yusmadi , Basheer Jasser Muhammed 
Published: July 2024

Failures in safety critical systems have a high impact on the environment in which they are used. For that, developers usually follow specific development standards and techniques to avoid and reduce failures in such systems. Developers have to build safety critical systems considering the quality, complexity, and size factors in all the development phases beginning with the requirement gathering and ending with the maintenance and verification. In this paper, some quality models and some metrics for measuring the quality, complexity, and size of systems are explored. The metrics are classified to the development phases so that the classification indicates the degree of metrics usage in measuring the quality, complexity, and size factors in relation to the development phases. We are now working on relating the studied metrics in this paper with their impact on the development of the software safety critical system. We expect to use these metrics in the management of the development phases and processes of software safety critical systems so that a decision making could be performed based on the measurements of these metrics.Â Â
Exploring Design Guidelines of Tangible Interaction in Learning for Children with Dyslexia
Authors: Nurliana Jamali Siti , Admodisastro Novia , Azim Abd Ghani Abdul , Hassan Saâ€™adah , Kamaruddin Azrina , Suhaila Abdul Hamid Siti 
Published: July 2024

Tangible Interaction (TI) has shown many benefits in various situations for it provides more direct manipulations and haptic feedback. In addition, TI also provide a more enjoyable learning environment.Â Despite active research in TI, there is limited research on design learning, particularly associated with the TI for children with dyslexia. Current approaches are found to still depend on traditional multisensory teaching materials. However, some literatures argued that the use of traditional multisensory teaching materials used in the current teaching technique is less attractive, lack sense, offer no feedback such as sound and only rely heavily on the teacher. A preliminary study was conducted to understand better how TI works for children with dyslexia. The study is conducted by the research team using a semi-structured interview and observations with teachers who teach dyslexic children.Â In this paper, an investigation of the teaching materials and learning approaches used in the Dyslexia Association of Malaysia (DAM) learning centre to support children with dyslexia were studied and analysed. Finally, design guidelines are constructed and proposed based on the data obtained from the study conducted. The design guidelines will be adopted to develop a tangible interaction between the learning model and its prototype for children with dyslexia.Â
Goal-Directed Approach and Design Principle Approach: a Comparative Study
Authors: Meei Hao Hoo , Jaafar Azizah , Hooi Ching Beh 
Published: July 2024

Uncertainty arises from intuitive design, prioritize usability goal, trade-off among usability attributes, choose usability patterns, conflict opinion during evaluation are putting more difficulties for novice designers in design tasks. As previous studies focused on the effectiveness of novice designers through the use of design patterns, we extended the use of usability pattern to look into the delivery of prototype design. Furthermore, in the aspect of usability analysis, Analytical Hierarchical Process (AHP) technique was applied in the prioritization of usability criteria and usability problems. In this study, AHP is used to prioritize the usability goals and integrated with usability testing and cognitive walkthrough to affirm the result for better judgement. We developed the approach to guide novice designers for the achievement of the targeted usability goal and supported with a tool to capture the collective decisions in providing convinced result during comparative evaluation. We built the approach and compared it using an experimental study with the undergraduate students. Our results suggested that prototype designed by novice designers followed usability pattern approach would has more usability patterns applied into and was preferred by experts than using design principle approach.Â Â
A Hybrid Feature Selection Technique for Classification of Group-based Holy Quran Verses
Authors: Adeleke A. , Samsudin N. 
Published: July 2024

Text classification problem is primarily applied in document labeling. However, the major setbacks with the existing feature selection techniques are high computational runtime associated with wrapper-based FS techniques and low classification accuracy performance associated with filter-based FS techniques. In this paper, a hybrid feature selection technique is proposed. The proposed hybrid technique is a combination of filter-based information gain (IG) and wrapper-based CFS algorithms. The specific purpose for this combination is to achieve both high classification accuracy performance (associated with wrapper) at lower computational runtime (associated with filter). The proposed IG-CFS technique is then applied to label Quranic verses of al-Baqara and al-Anaam from two major references, the English translation and commentary (tafsir). StringToWordVector with weighted TF-IDF method were used for preprocessing the textual data while four classifiers: naÃ¯ve bayes, libSVM, k-NN, and decision trees (J48) were experimented. The overall highest classification accuracy of 94.5% was achieved at 3.89secs runtime with the proposed IG-CFS technique.Â Â
A Library for Articulating the Measurement Streams with Columnar Data
Authors: DivÃ¡n Mario , Laura SÃ¡nchez Reynoso MarÃ­a 
Published: July 2024

The CINCAMI/Measurement Interchange Schema (MIS) organizes jointly data and metadata generated from the heterogeneous measurement devices under the same data stream. The Processing Architecture based on Measurement Metadata (PAbMM) is a data stream engine which processes the data streams organized under the CINCAMI/MIS schema. PAbMM is able to replicate in real-time each measurement stream but limited to C-INCAMI/MIS. This constitutes a use limitation of CINCAMI/MIS because the reading, using and writing of the measures was previously performed just by PAbMM. The CINCAMImisConversor library extracts this functionality with the aim of fostering the using along with any measurement project who need it. The functionality extraction was guided by PAbMMÂ´s internal behavior, which is documented through SPEM metamodel. This allowed defining to the CincamimisConversorâ€™s object model, its implementation and carry forward a discrete simulation for having an associated time reference. As a contribution, the library allows the data format conversion from the CINCAMI/MIS streams to the columnar organization. The library could translate 4900 measures in approximately 11 ms.Â Â
Price Changes Analysis Using Association Rule Mining on Online Shopping Portals
Authors: Atikah Baharudin Aini , Mutalib Sofianita , Hamimah Abd Hamid Nurzeatul , Hayati Abdul Hamid Nor 
Published: July 2024

In the recent years, the growth of online marketplace explodes and has become the new norm of shopping. Access to the internet allows consumers to visit local and global online marketplace. By using online shopping, consumers can view the latest products and comparing products' prices. Online marketplace offers flexibility and eases consumers in so many ways. On the contrary, it also has some limitations. Dynamic pricing allows sellers to enhance their marketing strategy by ensuring price competitive with other sellers. The frequent occurrence of real-time price changing limits the user to get the best deal. This paper discusses the analysis of price changes using Association Rule Mining. Price-ChARM finds a frequent pattern of price changes in corresponding to different timelines. On the online marketplace, due to multiple sellers can sell the same item with different offers such as delivery speed and dynamic pricing, the comparison can be quite tricky. We collected data from two well-known portals and we represent the dataset as set of prices for different products for the purpose of frequent itemset mining. We implement the Apriori algorithm and use a total amount of 3,960 records. We generate association rules from the frequent itemsets found in the records and visualize the confidence of 0.9 rules. The association rules represent the pattern of price changes in the portals. This study eases consumer shopping experiences by understanding the trend of price changes to provide a better decision in making a purchase.Â Â
Evaluation of Feature Selection Algorithm for Android Malware Detection
Authors: Hidayah Mazlan Nurul , Rahmi A Hamid Isredza 
Published: July 2024

This paper synthesizes an evaluation of feature selection algorithm by utilizing Term Frequency Inverse Document Frequency (TF-IDF) as the main algorithm in Android malware detection. The Android features were filtered before detection process using TF-IDF algorithm. However, IDF is unaware to the training class labels and give incorrect weight value to some features. Therefore, the proposed approach modified the TF-IDF algorithm, where the algorithm focused on both sample and feature. Proposed algorithm applied considers the feature based on its level of importance. The related best features in the sample are selected using weight and priority ranking process. This increases the effect of important malware features selected in the Android application sample. These experiments are conducted on a sample collected from DREBIN dataset. The comparison between existing TF-IDF algorithm and modified TF-IDF (MTF-IDF) algorithm have been tested in various conditions such as different number of sample, different number of feature and combination of different types of feature. The analysis results show feature selection using MTF-IDF can improve malware detection analysis. MTF-IDF proved either using various kinds of feature or various kinds of dataset size, algorithm still effective for Android malware detection. MTF-IDF algorithm also proved that it could give appropriate scaling for all features in analyzing Android malware detection.Â Â
Comparative Study for Load Management of HBase and Cassandra Distributed Databases in Big Data
Authors: Y. Aldailamy Ali , Muhammed Abdullah , Ismail Waidah , Radman Abduljalil 
Published: July 2024

The advancement in cloud computing, the increasing size of databases and the emergence of big data have made traditional data management system to be insufficient solution to store and manage such large-scale data. Therefore, there has been an emergence of new mechanisms for data storage that can handle large-scale data. NoSQL databases are used to store and manage large amount of data. They are intended to be open source, distributed and horizontally scalable in order to provide high performance. Scalability is one of the important features of such systems, it means that by increasing the number of nodes, more requests can be served per unit of time. Distribution and scalability are always companied with load management, which provides load balancing of work among multiple nodes. Load management efficiency varies from system to another according to the used load balancing technique. In this study, HBase and Cassandra load management with scalability will be evaluated as they are the most popular NoSQL databases modeled based on BigTable. In particular, this paper will compare and analyze the load management for the distributed performance of HBase and Cassandra using standard benchmark tool named Yahoo! Cloud Serving Benchmark (YCSB). The experiments will measure the performance of database operations with a different number of connections using different numbers of operations, database size, and processing nodes. The experimental results showed that HBase can provide better performance as the number of connections increase in the presence of horizontal scalability.Â Â
A Usability Evaluation of Image and Emojis in Graphical Password
Authors: Syabila Zabidi Nur , Mohd Norowi Noris , Wirza O.K. Rahmat Rahmita 
Published: July 2024

This paper presented user preferences in applying image and emojis use in graphical password authentication application.Â There is generally lack of two-factor authentication (2FA) approach in mobile devices.Â A preliminary study and a user study (N=30) have been conducted to investigate on usability and security issues.Â Both of the studies revealed the method of applying picture superiority effect to enhance memorability of graphical password.Â Â Â
Using Continuous Spatial Configuration for Bezel Issues in a Multi-Mobile System
Authors: Beng Liang Ong , Rhun Ming Teo , Mohd Norowi Noris , Hazri Jantan Azrul 
Published: July 2024

With the rapid moving technology and innovation, the current digital technology such as smartphones and tabletop system have become vital necessities to accommodate peopleâ€™s daily activities. As a more robust alternative to tabletop system, the multi-mobile system is also benefiting humansâ€™ interaction by combining multiple mobile devices to become a shared and larger touch surface display. This paper demonstrates the study on effects of bezels on a multi-mobile system which allows users to perform collaborative drawing task with mobile devices in an ad-hoc manner. Unfortunately, gaps and physical design of the mobile devices between the mobile displays cause inherent design problems to the multi-display structure.Â Before conducting the experiments, two prototypes have been designed; high-fidelity prototype (without solution) and iterative prototype (with the continuous spatial configuration). Two user studies have been conducted with the prototypes by observing groups of students performing an interactive drawing task and the findings were compared. Results from the first user study show gaps and disjointed objects were observed in the drawing outcomes, while in the second user study, where the Continuous Spatial Configuration was implemented as a solution to this bezel issue, the gaps and spaces between the screens were eliminated by 94.8%. From this study, it is believed that implementing the Continuous Spatial Configuration in the prototype designs can improve the user experience in the context of collaboration beyond the use of expensive tabletops systems.Â Â Â
Fruits Recognition based on Texture Features and K-Nearest Neighbor
Authors: Izzani Kamal Ariffin Nur , Rina Mustaffa Mas , Nurliyana Abdullah Lili , Amelina Nasharuddin Nurul , . . 
Published: July 2024

Malaysia is well-known for its variety of fruits available in the country such as pineapple, guava, durian, apple, and watermelon. Therefore, it is important for us to get to know more about fruits so that we can take advantage of all the benefits that each fruit can offer. However, problems may arise where a person may know nothing about a particular fruit apart from only having an image of it. Most of the fruit encyclopedias nowadays still rely on text as search input. Furthermore, various features are commonly utilised for representation which can lead to high computational complexity. Therefore, to overcome these problems, a content-based texture-only fruits recognition that accepts an image as input instead of text is proposed. A framework which extracts five texture features (homogeneity, energy, entropy, correlation, and contrast) based on Gray-level Co-occurrence Matrix (GLCM) descriptor is constructed. k-Nearest Neighbour (k-NN) is used at the classifier model to determine the type of fruits. The conducted empirical study has shown that the proposed work has the ability to effectively recognize fruit images with 100% accuracy.Â Â
Data Mining Techniques for Predicting Employability in Morocco
Authors: Mohamed SAOUABI , Abdellah EZZATI 
Published: July 2024

One of the biggest challenges for Big Data applications is to explore large volumes of data and extract valuable information and knowledge for future actions. Employment is the main form of social integration, a factor in improving living conditions and preventing risks of poverty and vulnerability and the most appropriate indicator for assessing the level of social cohesion in a country. Mining employability data will give decision makers a great view of the data and opportunities to make improvement in this sector. In this paper, we presented an experimental study comparing various classification data mining algorithms on employability data in Morocco, which are Decision tree, Logistic regression and NaÃ¯ve Bayes, which take place in the top 10 data mining algorithms identified by the IEEE International Conference on Data mining. The objective in our experiment is to choose the most efficient and suited algorithm for the employability data.Â Â
Teaching and Learning Analytics to Support Teacher Inquiry
Authors: Hachem AlaouiHaroun Moulay , HACHEM El-Kaber , Ziti Cherif 
Published: July 2024

Teaching In this article we are going to introduce the concept of reflective practice as an important instrument for practice-based professional development, as well as organizational learning and improvement; and define the concept of teacher inquiry as a key method for data-driven reflection on-action, related to the process where teachers build useful knowledge about teaching and learning through the deliberate and systematic study of their own practice. It also discusses some Teaching Analytics tools in our platform ASTEMOI to show how teacher can reflect on their teaching design. This study employs focus group as qualitative research methodology to discuss benefits of Teacher inquiry in the help of data-reflection on-action.Â Â