Assessing the Capability and Priority of Enterprise Architecture Implementation in Malaysian Public Sector

Enterprise Architecture (EA) is an integrated approach of information systems, processes, organisation and people in aligning business and information technology together. However, there is a discrepancy in public sector EA implementation whereby the developing countries are still grappling with issues in the implementation while those developed countries are already harvesting the EA benefits and value. Hence, this study aims to investigate the capability and priority of public sector of the developing countries in implementing the EA by proposing an assessment model. The assessment model is based on Balanced Scorecard (BSC) and Analytic Hierarchy Process (AHP) approach. There are 27 EAI capability and priority criteria identified and grouped into six categories according to BSC perspectives namely Internal Process, Learning and Growth, Authority Support, Cost, Technology and Talent Management. Followed by AHP pairwise comparison in calculating the rank of each criterion which is presented via three case studies from Malaysian Public Sector agencies

Cloud denial of service detection by dendritic cell mechanism

The term cloud computing is not new anymore in computing technology. This form of computing technology previously considered only as marketing term, but today cloud computing not only provides innovative improvements in resource utilization but it also creates a new opportunities in data protection mechanisms where the advancement of intrusion detection technologies are blooming rapidly. From the perspective of security, cloud computing also introduces concerns about data protection and intrusion detection mechanism especially cloud computing are exposed to Denial of Service (DoS) attacks. This paper aims to provide DoS detection mechanism for cloud computing environment. As a result, we provide an experiment to examine the capability of the proposed system. The result shows that the proposed system was able to detect DoS attacks that conducted during the experiment with 94.4% detection rate. We conclude the paper with a discussion on the results, then we include together with a graphical summary of the experiment's result

A systematic review of enterprise architecture establishment process

Enterprise Architecture (EA) is gaining its importance and has become significant agenda in any Information Technology reform in most organisations. Despite many claimed benefits, establishment of EA can be challenging due to by many different EA views, methodologies and frameworks that exist at present. Therefore this study provides a systematic review of Enterprise Architecture (EA) establishment process with the aim to review the EA establishment process from the existing EA frameworks. 16 papers were selected in the synthesis process and finally only six EA frameworks were chosen for further analysis. The result shows there are 43 processes related to EA establishment and each EA framework has their own limitation and additional features. Results also indicate that these processes can be grouped into seven common EA processes across all frameworks which are used by all frameworks

A systematic review of enterprise architecture assessment models

This article provides a systematic review of Enterprise Architecture (EA) assessment model. The review main goal is to identify the existing EA assessment models and to categorize the models according to EA phases as well as to analyze the models limitation. The review result shows that there are 16 EA assessment models proposed across both industry and academic areas that fit in three EA phases mentioned

Enterprise architecture implementation model: Measurement from experts and practitioner perspectives

Enterprise Architecture (EA) is vital element for organisation to ensure the viability of the organisation functionality. However, many organisations facing problem in EA implementation due to complexity of the EA frameworks, rigidity of business function and the chaotic IT structure. Various suggestions for better EA implementation in previous studies are yet to be verified by the EA practitioners in real case scenario. Therefore, this paper aims to measure the influential factors in EA implementation process from both experts and practitioners perspectives. This EA implementation model was formulated based on 27 factors from six categories, (IP-Internal Process, LG-Learning and Growth, AS-Authority Support, CS-Cost, TC-Technology and TM-Talent Management) which are gathered from previous studies and case studies of Malaysian Public Sector organisations. To measure this model, survey questionnaire was conducted to both selected EA experts and practitioners with intention to identify any differences between the theoretical and practical aspects in EA implementation. Findings reveal that, there is no significance difference on the level of agreement between the EA experts and practitioners except for three factors which are IP6-Rules and Process, AS5-Political Influence and CS1-Financial Resources. Hence, it can be concluded that both experts and practitioner share the same opinion on the factors that influence the EA implementation process

Data understanding for flash flood prediction in urban areas

Flash flood has become one of the major disastrous events, especially in urban areas in Malaysia. It has become more prominent to city dwellers, causing massive loss of infrastructures, damage to people, and disruption in business and daily activities. Population growth and rapid development of urban areas have worsened the situation even more. Since the era of Big Data, the possibility to analyse complex data coming from heterogeneous sources, which can be used to predict flash flood, has given a different perspective and hope for finding innovative ways to reduce the impact of flood, especially in urban areas. The purpose of this study is to understand data needed to produce predictive visual analytics for flash flood forecasting using Cross-Industry Standard Process for Data Mining (CRISP-DM) Methodology. Focusing on understanding the flash flood data, this paper intends to characterize data pertaining to disaster management and identify the right data that can facilitate more accurate decision making by stakeholders. Literature review was done to determine which data are needed in the Malaysian urban setting. The research found the critical factors for determining flash flood occurrence in Malaysia are unique due to the tropical climate and urbanization. Therefore, it is important to understand and characterize these factors for more effective and accurate data collection and predictive analytics later. Based on the findings, the most significant factors identified for flash flood prediction are rainfall, urbanization, and fluvial flood which eventually lead to blocked drainage. Details of data under these categories will be analysed as part of data understanding of flash flood occurrence. This study intends to uncover the potential of using Predictive Visual Analytics in flood forecasting and also to discuss how prediction can bring values to the Malaysian environment and create a sustainable ecosystem

A Novel Effort Estimation Model For Software Requirement Changes During Software Development Phase

Software Requirements Changes is a typical phenomenon in any software development project. Restricting incoming changes might cause user dissatisfaction and allowing too many changes might cause delay in project delivery. Moreover, the acceptance or rejection of the change requests become challenging for software project managers when these changes are occurred in Software Development Phase. Where in Software Development Phase software artifacts are not in consistent state such as: some of the class artifacts are Fully Developed, some are Half Developed, some are Major Developed, some are Minor Developed and some are Not Developed yet. However, software effort estimation and change impact analysis are the two most common techniques which might help software project managers in accepting or rejecting change requests during Software Development Phase. The aim of this research is to develop a new software change effort estimation model which helps software project manager in estimating the effort for software Requirement Changes during Software Development Phase. Thus, this research has analyzed the existing effort estimation models and change impact analysis techniques for Softwrae Development Phase from the literature and proposed a new software change effort estimation model by combining change impact analysis technique with effort estimation model. Later, the new proposed model has been evaluated by selecting four small size software projects as case selections in applying experimental approch. The experiment results show that the overall Mean Magnitude Relative Error value produced by the new proposed model is under 25%. Hence it is concluded that the new proposed model is applicable in estimating the amount of effort for requirement changes during SDP

Software requirement change effort estimation model prototype tool for software development phase

In software development phase software artifacts are not in consistent states such as: some of the class artifacts are fully developed some are half developed, some are major developed, some are minor developed and some are not developed yet. At this stage allowing too many software requirement changes may possibly delay in project delivery and increase development budget of the software. On the other hand rejecting too many changes may increase customer dissatisfaction. Software change effort estimation is one of the most challenging and important activity that helps software project managers in accepting or rejecting changes during software development phase. This paper extends our previous works on developing a software requirement change effort estimation model prototype tool for the software development phase. The significant achievements of the tool are demonstrated through an extensive experimental validation using several case studies. The experimental analysis shows improvement in the estimation accuracy over current change effort estimation models

A user-centered design approaches for developing web information system for stroke care (WISS)

Optimizing resources from internet is important because effective stroke care require caregiver have a fruitful of information at increasing efficiency in acute stroke care. With the result shown that stroke becomes the third leading cause of death in world, there is an urge need for the information provided online is reliable. There is still limited information available online to assist in stroke care as well as the right medium to deliver the information to stroke patient. This paper discusses on User-Centered Design (UCD) approaches for designing the prototype for web information system for Stroke Care. The methodology uses are interviews, focus-group discussion and observation, questionnaires and card-sorting activity. This research covers four groups of users: stroke caregivers, two stroke rehab centers, therapists and doctors who handle the structure proposed using UCD approach