bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automated slicing scheme for test case prioritization in regression testing
Authors: Kaushal Manju , Abimannan Satheesh 
Published: July 2024

Motivation: The testing approach which ensures that the software does not have any adverse affects due to the changes made in the existing features or addition of some new features is called regression testing. For testing the changes made in the previous versions of software, this type of testing is performed. To ensure that the numbers of test cases available in the software is not too large, it is important to select the regression tests and to do so, several techniques have been designed. To detect the individual functions from the software, the existing work applied the slicing technique. The parameters which are used in this approach are calculated manually to analyze importance of individual functions. The number of times the function is encountered and the number of functions relevant to the specific function are the two different parameters calculated here. A list of changes in the source code and the execution traces generated from the test cases which are run on previous versions are used to combine the modification, minimization and prioritization-based selection which thus generates a hybrid technique.Problem Statement: In the existing system, the manual slicing technique is applied to perform test case prioritization. In manual slicing, the total number of times a function is triggered and the total numbers of functions attached are calculated manually to generate final function importance. This approach is very time consuming and inaccurate.Method: In this paper, we studied that to prioritize the test cases based on the changes, a type of regression testing is used which is test case prioritization. The test cases of the functions which have higher priority are executed first and so on. Based on the changes made, the test cases are prioritized. For identifying maximum number of faults from the modified software, manual slicing and automated slicing are applied in this work. The proposed method will be the enhancement of manual slicing technique. The automated slicing technique will automatically calculate the functional importance based on number of attached functions and number of times function triggered. The proposed method has low execution time and detects more number of defects from the software. The dataset of ten different projects is used to test the performances of proposed and existing algorithms in MATLAB. Each project has seven functions and four numbers of changes are defined for the regression testing.Results: The simulation results achieved at the end show that in comparison to manual methods, the implementation of automated test case prioritization has provided improvement in the fault detection rate and reduction in the execution time.Â Â Â
The problem of image segmentation and de-noising methods and various approaches to its solution
Authors: H.Shakah Ghazi 
Published: July 2024

Image segmentation and de-noising are required to be used in digital image processing according to the recent since researches in this field, At present image de-noising and segmentation take part in real-world applications such as medical fields, computer vision, computer graphic, satellite, magnetic resonance imaging, computed tomography, single photon emission and computed tomography etc. These two methods are used for different images but mainly focus on medical images. In this paper provides an overview of the main classes of methods for segmentation of images, analysis of the effectiveness of their application and development prospects for the implementation of methods adaptive segmentation for the conditions of significant variations in the parameters of images. After that we present the comparison between segmentation techniques based on some specific parameters and find out suitable one.Â Â
A survey on power and load-aware multipath node-disjoint routing protocol for MANET
Authors: Kumar. S Sathishkumar , G Ravi 
Published: July 2024

In Mobile Ad-hoc Network (MANET), the most challenging task is communication through multipath routing. Generally, each node in the network may have limited power resources to communicate with the other nodes without any backbone structures. So, an unbalanced traffic allocation among nodes may cause power dissipation in overloaded nodes. Due to this, path failure has occurred that degrades the network lifetime and its performance. As a result, power and load-aware multipath routing protocols have been proposed to reduce the energy consumption and link failure in the network. Hence, a multipath routing scheme is the most crucial in MANET to transmit the data packets efficiently. This paper presents a detailed review of power and load-aware based multipath routing for MANET. Primarily, different power and load-aware multipath routing protocols designed by previous researchers for MANET are briefly studied. Then, a comparative analysis is conducted to understand the drawbacks in those protocols and suggest the new solution to improve the multipath routing in MANET with high network performance.Â Â Â
Technology foresight in Modular Construction Shipbuilding Industries: The Case of Malaysiaâ€™s Shipyard
Authors: Mokhtar Ahmad Alliff Anuar , Amir Mohamad Abu Ubaidah , Hafizah Ainnur , Halim Abdul 
Published: July 2024

Â The shipbuilding and ship repair industry in Malaysia involves designing, building and constructing, repairing and maintaining, converting and upgrading of vessels as well as marine equipment. It is getting larger and always evolve in line with the development of technology such as with the latest technology which is embedded in modular construction. Nowadays, the modular construction approach in shipbuilding is already known worldwide. However, adoption of this method in Malaysia is still minimal in term of scale and it is not comprehensive. The latest, Boustead Naval Shipyard (BNS) was entrusted to build 6 Littoral Combat Ship (LCS) for Royal Malaysian Navy (RMN) in BNS in Lumut, Malaysia. One of the advantages for this contract is the technology transfer which also includes the modular construction. The study is conducted using the qualitative and quantitative method. Qualitative data collection method that used in this study includes individual interviews, and observations to examine the perspective from the higher management level on how to assess modular construction shipbuilding and hence to examine the factors through implementation and the effectiveness towards Malaysiaâ€™s shipyard of modular construction shipbuilding. For quantitative data collection method include various forms of surveys â€“ online and form survey. Respondents are only from the higher management level. This data will be transformed into usable statistics using statistical software, Statistical Package for the Social Sciences (SPSS). Thus, this study is to analyse the technology and the viability in which to investigate of the existing business sustainability construction shipbuilding in Malaysiaâ€™s Shipyard. The result can be used for the better understanding the modular construction and its impact on the production process in Malaysia, and also improve the technology and method of modular construction shipbuilding in Malaysian shipyard.
The Processing of Nitrocellulose from Rhizophora, Palm Oil Bunches (EFB) and kenaf fibres as a Propellant Grade
Authors: Yolhamid Mohd Najib Abdul Ghani , Ibrahim Farizha , Amir Mohamad Abu Ubaidah , Ibrahim Rushdan , Adnan Sharmiza , Yahya Muhd Zu Azhan 
Published: July 2024

Nitrocellulose based powders are extensively in military application used as propellant in bullets, shells, and various missiles for tube munitions. In this study, Rhizophora, Palm Oil Bunches- Empty Fruit Bunches (EFB) and kenaf fibres were used as raw materials to produce nitrocellulose suitable for replace gunpowder. All raw materials are converted to dissolving pulps before nitrocellulose are synthesized. The characteristics of both dissolving pulps and nitrocellulose are determined. The result shows that the nitrocellulose fromÂ Rhizophora, Palm Oil Bunches- Empty Fruit Bunches (EFB) and kenafÂ have a tendency as propellant.
In-Situ Current Speed Measurement and Sediment Characteristics at UPNM Lake
Authors: Rahman Ainul , Muda Wan Baderul Hisan Wan , Rosly Afiqah , Azzeri Mohd , Isnan Sarah , Aziz Adenen , Muhamad Siti Nur , Ahmad Mohd Arif , Amir Mohamad Abu Ubaidah 
Published: July 2024

This paper focuses on a hydrographic survey conducted at Universiti Pertahanan Nasional Malaysia (UPNM) Lake. The aim is to measure the current speed and sediment characteristics due to the limitation of information and references regarding on UPNM Lake. The hydrographic survey conducted is essential as it is the first survey carried out and indirectly outlines and provides details of the lake for future applications. All the information from the survey is prominent seeing that UPNM Lake is constantly used for either research activities, fishing activities, recreational activities by students and as a training ground for military cadets.Â The outcome gathered from this research is an analysis of data for in-situ current speed and direction at 26 designated locations (23 locations for bottom current) in the lake area and also sediment characteristics. Current speed distribution at UPNM Lake shows 80% current speed recorded in between 0.02 m/s to 0.5 m/s with the highest current speed was recorded at the magnitude of 0.68 m/s and the lowest current speed is at magnitude 0.02 m/s. For sediment characteristics, all sampling stations show mud sediment with few stations show different types of mud. The study of this water body either in physical or chemical aspect is performed to derive a better understanding of the composition of the lake for safety functionality.
The Effect of Internet of Things (IoT) Towards Social Sciences Studentâ€™s Performance
Authors: Mohd Farahwahida , Shamsuddin Norsila , Ab. Ghani Puzziawati 
Published: July 2024

This study is to evaluate the effect of IoT towards social sciences studentâ€™s class performance. This is to measure whether IoT contribute to their performance or not. It is found that e-learning modules are most preferred by the students as compared to blended learning and conventional face-to-face learning environment. E learning was ranked as number 1 most prefer method followed by blended learning and the least preferred is the conventional method that is face-to-face classroom environment. Furthermore, competency in using IT devices such as smart phones, tablet, wi-fi dongle and etc is an advantage in this new era of technology and very significant towards the studentsâ€™ performance (p-value = 0.000). Followed by awareness of the usage of IoT (p-value = 0.011), importance of the devices in contributing good performance (p-value = 0.015) and finally yet importantly usefulness of IoT have significant effect towards performance. All variables are significant at 5% level of significant. Therefore, we can conclude that IoT does give significant effect towards these Social Sciences Studentsâ€™ performance in all of their activities in the university.Â Â
Learning Automata-Based Algorithm as a Solution to the Problem of Priority-Based Target Coverage in Directional Sensor Networks with Adjustable Sensing Ranges
Authors: Norsyarizad Razali Mohd , Salleh Shaharuddin , Azzeri Md Naiem Mohd 
Published: July 2024

The limited battery power and sensing angle of directional sensors makes maximizing the network lifetime of directional sensor networks (DSNs) a challenging problem, especially when surveillance of a set of targets in a given area is involved. Sensors with multiple ranges and targets that require varied coverage further exacerbate this problem. This study refers to this problem as PTCASRâ€”Priority-based Target Coverage with Adjustable Sensing Ranges. A promising solution to this problem is to use a scheduling technique, which involves allocation of sensors into cover sets and their successive activation thereafter. A scheduling algorithm based on learning automata is proposed in this study as a solution to this problem. To assess the performance of the proposed algorithm in extending network lifetime, several simulations were conducted.Â Â
Comparing Web Vulnerability Scanners with a New Method for SQL Injection Vulnerabilities Detection and Removal EPSQLiFix
Authors: Umar Kabir , Bakar Sultan Abu , Zulzalil Hazura , Admodisastro Novia , Taufik Abdullah Mohd 
Published: July 2024

Web vulnerabilities have become a major threat to the security of information and services accessible via the internet. Dynamic analysis based Web Vulnerability Scanners (WVS) have been employed to facilitate detection of vulnerabilities, though, such scanners could not remove the detected vulnerabilities. Empirical evidences show that some existing static analysis techniques targeted both detection and removal of vulnerabilities. However, these techniques are not adequately effective â€“ they report considerably large number of false positives and do not achieve fully automatic vulnerabilities removal.Â Although, clear understanding of the workflow of WVSs is very essential in designing more improved scanners, current literature does not provide a comprehensive presentation on workflow of WVSs. Thus, this paper presents thorough description of generic WVS through synthesis and aggregation of knowledge. In addition, the paper presents overview of an Evolutionary Programming (EP) based static analysis method for automatic detection and removal of vulnerabilities called EPSQLiFix. Lastly, the paper compares the workflow of WVSs to that of EPSQLiFix method.Â
Applying ITIL Framework to Analyze Problem Management Key Performance Indicator (KPI): a Case Study of Malay Owner Company (Mesiniaga Berhad)
Authors: Mokhsin Mudiana , Shakir Zainol Amer , Nordianah Haihom Siti , Husni Mohd Som Mohd , Jalil Abdul Rahim Abdul 
Published: July 2024

Problem Management (PM) is one of the components in the Information Technology Infrastructure Library (ITIL) Service Support area. The primary focus of Problem Management is to identify causes of service issues and commission corrective work to prevent recurrences. To address this practice and make it more effective, the project tends to identify the specific Key Performance Indicator (KPI) forÂ Â Â Â Problem Management process in a Malay owner company named as Mesiniaga Berhad. The identification of Problem Management KPI is based on the previous research which is using ITIL as a framework. The interview session has been conducted in Mesiniaga with Problem Manager working at that company with more than 10 yearsâ€™ experience in Problem Management process. The method ofÂ Â Â Â interview is using qualitative approach which is using the design question with the lists of KPI. The expert will select or decide which KPI are related with the current report in Mesiniaga. The result showed that 6 KPIs are related and come out with analysis on how the outcome of KPI behavior matched with the Incident report in Mesiniaga. To enhance on how the identification of KPI, instead of using manual to capture the Problem Management KPI, the automation of selected KPI from Incident to Problem Management can beÂ Â Â Â Â Â Â implement in the systems. Most technologies are intelligent enough for data analytic to decide which suitable KPI of ProblemÂ Â Â Â Â Â Â Â Â Â Management follow the current business and client environment.Â Â
The Enterprise Resource Planning System and Human Influences on Perceived Business Benefits
Authors: Lim Jiansi , Mohamed Norshidah , Shahriza Abdul Karim Nor 
Published: July 2024

Strategic information systems are designed to support business processes for firms to achieve competitive advantage in the market place. Enterprise Resource Planning (ERP) system is one such example of a strategic information system. While there have been many researches on ERP systems, evidence about ERP systems business benefits from userâ€™s perspective still remains to be known. The research, therefore, aims at exploring and determining the influences of ERP systems on business benefits. The influences encompass the user satisfaction with the ERP system itself (system factor) and the human factor of service provider as perceived by users. The human factor is made up of the perceived service quality of provider as consultant and the relationship quality between the user and the provider. Data was collected using a survey research instrument from three different organizations in Malaysia. A total of 120 users provided responses to the survey. The research provides support for the ERP system and human influences on userâ€™s perceived business benefits. Implications of the research are discussed herein.Â Â Â
Improving the Governance of Software Maintenance Process for Agile Software Development Team
Authors: Abdullah Salfarina , Subramaniam Mangaiarasi , Anuar Sazly 
Published: July 2024

Software maintenance is one of the most debated phases in software development process for so many years. Having reputed as the most expensive phase of software development life cycle (SDLC), it utilizes the maximum share of the overall project costs as well as time. Agile software development provides opportunities to assess the direction of a project throughout the development lifecycle. However, it does not ideally map with the existing software maintenance process. One of the highlighted issues is the difficulty for searching of information as well as lack of knowledge to solve the maintenance problems within certain time frame. Thus, the main objective of this study is to improve the governance of software maintenance process in an Agile development team. In doing so, a tool named Axita is developed to assist the software maintenance team for storing of information in central data repository and managing projects in more efficient and timely manner. Based on the literature review as well as mapping between the agile software development and the existing ISO software maintenance process, we also proposed six best practices to better govern the software maintenance process in an Agile development team, to overcome the difficulty of information finding and reduce the time spent to solve the maintenance issues. We believe that our study and findings complement the efforts that have been put forth in improving the way we manage software maintenance thus enhance the efficiency of the software development process.Â Â
Real Time Productivity Monitoring System for Small and Medium Size Manufacturing Industry
Authors: Phaik-Ean Wong , Lee Abdullah Nasuha , Idrus Rosnah , Keikhosrokiani Pantea 
Published: July 2024

This paper attempts to propose a real-time knowledge management system to monitor productivity for production lines of small and Â medium size enterprises (SME). The proposed system hopes to empower managers in meeting the target of daily production output. The uniqueness is it provides real time productivity level to enhance visibility and control in the production lines. The system automates the process of data collection by using bar code scanners at the input and output stations. Productivity is calculated based on cycle time of each product and display in real time. Colour coded display indicating productivity level enables the line foreman to take immediate Â action. Apart from that, it can also send alert in the form of Whatsapps messages to relevant personnel in case of loss time issues. The system consists of two main modules, which are, data collection module and reporting module. It is developed as a web-based knowledge management system to ease setup, access, and maintenance to facilitate future upgrade into mobile application. The system can be implemented in any production line to monitor the line performance and helps to reduce loss time by providing an instantaneous response to solve issues.Â Â
The Role of Employee in Information Security Risk Management
Authors: Lau Keat Jin David , Hafizah Hassan Noor , Maarop Nurazean , Narayana Samy Ganthan , Che Mohd Yusof Rasimah 
Published: July 2024

Information security risk management (ISRM) is become essential for establishing safe and reliable environment for online and e-transactional activities. With the coming Industrial Revolution 4.0, there is a huge interest of the organization for involving user in their risk management activity to minimize any security incidents. Limited research has been conducted in investigating involvement of user in ISRM. Therefore, this paper examines the involvement of user in ISRM in financial organization. Besides, this paper discusses the existing theories of risk management use in assessing ISRM. This paper investigates user participation in ISRM implemented in the organization using mixed-method approach. This study use questionnaire survey and follow-up with interview in one financial organization. Besides, Strength, Weakness, Opportunities and Threat (SWOT) analysis is presented based on the result found for the organisation to focus on their improvements needed. This study shows that a well-known procedure and standards must be implemented in the organisation to ensure that employee participate more in the ISRM process and activities.Â Â
A Domain Ontology for Eliciting Usability Features
Authors: Wen Too Chian , Hassan Saâ€™adah , Azim Abdul Ghani Abdul , Din Jamilah 
Published: July 2024

One of the crucial factors that can influence user preferences of software is usability.Â It assesses the extent of which software able to facilitate user and use the software easily and effectively.Â Typically, usability requirements are specified at the design stage of software development due to its characteristic that is subjective in nature and hard to be elicited at the early stage. As a result, the lack identification and improper treatment of usability features always caused the failure of a software product. Consequently, it increased the cost and effort of rework. Essentially, it suggested that usability need to be specified at the requirements engineering stage to complement the software functional requirements.Â This paper presents a preliminary study on current efforts to support the activities in identifying usability attributes in the software functional requirements. The potential of adopting pattern and ontology for identifying usability features are also presented. The development of domain ontology is proposed to fill the gap of the current efforts where there is lack of usability driven semantic knowledge model to support the usability elicitation tasks. The designed domain ontology is expected to overcome the problems resulted from software developer that lack of sufficient knowledge or expertise in eliciting usability features at requirements engineering level. The main contribution is to provide a guideline to aid the requirements engineer to elicit and specify usability requirements start from the early stage of development phases. Â Â Â
Mobile Malware Classification
Authors: Kasiran Zolidah , Awang Norkhushaini , Nurhanani Rusli Fatin 
Published: July 2024

Android malware is growing in such an exponential pace which lead to the need of an efficient malware intrusionÂ detection technique. The single approach of clustering or classification technique in malware intrusion detection yield to high negative positive alarm rate.. This project had proposed clustering in intrusion detection method using hybrid learning approaches combining K-Means clustering and NaÃ¯ve Bayes classification had been proposed.Â The result had shown the improved false rate alarm in malware detection.Â Â