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Journal receives papers in continuous flow and we will consider articles from a wide range of Information Technology disciplines encompassing the most basic research to the most innovative technologies. Please submit your papers electronically to our submission system at http://jatit.org/submit_paper.php in an MSWord, Pdf or compatible format so that they may be evaluated for publication in the upcoming issue. This journal uses a blinded review process; please remember to include all your personal identifiable information in the manuscript before submitting it for review, we will edit the necessary information at our side. Submissions to JATIT should be full research / review papers (properly indicated below main title).

Journal of Theoretical and Applied Information Technology
March 2015 | Vol. 73 No.1

Title:	RANKING THE INFLUENCE USERS IN A SOCIAL NETWORKING SITE USING AN IMPROVED TOPSIS METHOD
Author:	A. MURUGANANTHAM, DR. G. MEERA GANDHI
Abstract:	With the wide spread popularity of social networking sites (SNS), enterprise organizations have started to explore the business opportunities in SNS such as Facebook to conduct targeted marketing and reputation management. Customers or users tend to trust the opinion of other customers or users, especially those with prior experience of a product or service, rather than company marketing. One of the important challenges to these enterprises is to conduct cost-effective marketing and reputation management on SNS through influencing users. When it comes to marketing, the users’ influence is associated with a certain topic or field on which people have different levels of preference and expertise is called homophily. In order to identify and predict influential users in a specific topic/subject more effectively, this paper introduces a new method to effectively identify the most influence users, who can generate the maximum of total benefit with respect to specific topics or business situations. This method uses homophily characteristics along with the technique for order preference by similarity to ideal solution (TOPSIS). Using this improved TOPSIS method, influencing users are identified and ranked on a Facebook dataset and compared against with TOPSIS method with no homophily. The experimental results show that how well the proposed technique precociously identify and rank influential users based on a certain topic or business situation.
Keywords:	Influence Users, Betweenness Centrality, Closeness Centrality, Eigenvector Centrality, Homophily, TOPSIS
Source:	Journal of Theoretical and Applied Information Technology 10^th March 2015 -- Vol. 73. No. 1 -- 2015
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Title:	USER ACCEPTANCE OF BANKING TECHNOLOGY WITH SPECIAL REFERENCE TO INTERNET BANKING
Author:	Y. AYSHA FATHIMA, DR. S. MUTHUMANI
Abstract:	How to attract customers to use internet banking technology in a country like India, where use of such technologies by the customers in banking services is still moderately slow? Is indeed an enormous task for the service providers to build strategies to promote usage of internet banking. In this study, researcher has tried to identify few predominant factors and their influence on behavioural intention to adopt internet banking technology. This empirical study proposes nine research hypotheses derived from previous other studies made on users of banking technology. A survey was conducted among 319 users of Internet banking and the data was further analyzed using statistical tools. Multiple regression analysis was done to identify the predominantly influencing factors on user acceptance. The results of the study are identified perceived usefulness, trust, perceived credibility and perceived ease of use as the most influential factors for user acceptance of internet banking technology. Based on the results, managerial implications were made.
Keywords:	User Acceptance, Technology Diffusion, Banking Technology, Internet Banking.
Source:	Journal of Theoretical and Applied Information Technology 10^th March 2015 -- Vol. 73. No. 1 -- 2015
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Title:	A PERSONALIZED FOOD ADVISORY SYSTEM FOR CHRONIC DISEASE PATIENTS
Author:	HMOOD AL-DOSSARI, AMR SALAH MAHMOUD
Abstract:	Chronic diseases, such as diabetes, heart disease and stroke, are the leading cause of mortality in the world. Recent studies show that 382 million people have diabetes in 2013 and the number will rise to 592 million by 2035. To mitigate the effect of chronic diseases, patients are advised to follow strict nutritional rules. However, with the widespread of processed food, it is hard for the chronic disease patients to recognize what kind of food that must be avoided. In this paper, we present a personalized food advisory system that can be used by chronic disease patients to manage and control their food intake. The proposed system evaluated by using interview approach with 15 experts from medical domain. The preliminary result confirms the importance of having such system to assist chronic diseases patients to follow the nutritional rules. Almost all the participants are willing to recommend the proposed system to their patients.
Keywords:	Mobile Application, Chronic Diseases, Food Ingredients, Recommendation
Source:	Journal of Theoretical and Applied Information Technology 10^th March 2015 -- Vol. 73. No. 1 -- 2015
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Title:	AN ANALYTICAL WAY TO IMPROVISE TEST EXECUTION AND REVIEW OF SOFTWARE METRICS FOR THE SOFTWARE QUALITY
Author:	CHANDU P.M.S.S
Abstract:	The escalating density of today’s software products, combined with ever-increasing costs of software breakdown have pushed the need for testing to new peaks. The successful execution of the control over software quality requires software metrics. Using effective software metrics we can monitor requirements, predict development resources, tracking development progress and minimize the maintenance cost. The main objective is to improvising the performance of testing with various attributes connection with metrics for gaining low cost and high quality Software. The propose research work is to identify the possible measuring attributes of software test execution and test review processes. This work introduces a novel framework called vector space model, to recognize software metrics related to test execution and test review phases also to identify the support of such metrics for the measurable attributes. Moreover, it is important to analyze the assumptions in the calculation of the metrics. The metrics studied against each attribute needs to be assessed for their practicality in terms of project’s context and benefits to the testing team.
Keywords:	Software metrics, Vector Space Model (VSM), software testing life cycle, Software complexity, Software Test Execution and Test Review
Source:	Journal of Theoretical and Applied Information Technology 10^th March 2015 -- Vol. 73. No. 1 -- 2015
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Title:	THE ACCURACY OF TIME-BASED HYBRID LOCALIZATION TECHNIQUE IN HETEROGENOUS WIRELESS NETWORK
Author:	SABARIAH BOHANUDIN, MAHAMOD ISMAIL, MARDINA ABDULAH
Abstract:	Localization of mobile users is very important feature that has been studied in location-based service (LBS). The accuracy of the estimation of mobile user’s position through wireless communication services is the main issue especially in the case of emergency. The main goal of this work is to analyze the accuracy of Hybrid Localization Determination Technique (HLDT) based on Time Difference of Arrival (TDOA) and Time of Arrival (TOA) in localizing of the mobile user which is located in the vicinity of area with the availability of heterogeneous network that consist of GSM, Wideband Code Division Multiple Access (WCDMA), WiMAX and Long Term Evolution (LTE) system. This localization method was chosen as the user equipment (UE) often experiences enough hearability for the trilateration method in urban area. Several drive tests have been observed in urban area sample from Shah Alam to Kuala Lumpur, Malaysia. Data from drive test of Received Signal Code Power (RSCP) of Node Bs have been used to simulate by using the simulation model with fixed input parameters. Then we proceed with analyze the data to gain the estimation of the localization by using time-based HLDT method. The accuracy of location estimation of mobile user has been observed and it resulted that at 67% and 95% of CDF plot shows the performance of localization with improving and fulfill the requirements of E911.
Keywords:	Location Based Service, Heterogeneous Network, Hybrid LDT, Hearability, Location Error
Source:	Journal of Theoretical and Applied Information Technology 10^th March 2015 -- Vol. 73. No. 1 -- 2015
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Title:	THE EFFECT OF HYBRIDIZING LOCAL SEARCH ALGORITHMS WITH HARMONY SEARCH FOR THE VEHICLE ROUTING PROBLEM WITH TIME WINDOWS
Author:	ESAM TAHA YASSEN, MASRI AYOB and MOHD ZAKREE AHMAD NAZRI
Abstract:	Harmony search algorithm is relatively a recent nature inspired algorithm that mimics the musical improvisation process in seeking agreeable harmony. It has been used to solve various optimization problems and shown to produce good results for many problems. However, harmony search algorithm has slow convergence that might decrease its efficiency in producing good quality solutions for constrained optimization problems. In order to overcome this shortcoming, we propose a hybrid harmony search algorithm that integrates a local search algorithm and harmony search algorithm to increase its exploitation process and to further improve the generated solution. Three well-known local search algorithms: hill climbing, simulated annealing, and reactive tabu search are hybridized with the harmony search algorithm. The proposed algorithm is tested on the standard public Solomon’s vehicle routing problem with time windows benchmark set. The computational experiment shows that each of the three hybrid algorithm produced good quality solution for certain instances only. However, all of them outperformed standard harmony search algorithm. Thus, it can be concluded that the integration of the local search with harmony search algorithm does improve its capability in producing good quality solutions.
Keywords:	Vehicle Routing Problem; Meta-Heuristics; Hybrid Algorithm; Hill Climbing; Simulated Annealing; Reactive Tabu Search; Harmony Search Algorithm
Source:	Journal of Theoretical and Applied Information Technology 10^th March 2015 -- Vol. 73. No. 1 -- 2015
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Title:	IMPLEMENTATION OF RANDOMIZED TEST PATTERN GENERATION STRATEGY
Author:	DR.T.PREM JACOB
Abstract:	Software testing involves running a piece of software on selected input data and checking the output for correctness. In order to test the software units randomized testing will be effective. Thoroughness depends on certain parameters settings like relative frequency on which the method are being called. This system that uses genetic algorithm for finding the parameters that optimize the test coverage of random unit testing. For designing the GA we have used the feature subset selection tool for accessing the content representation and the size within genetic algorithm. The proposed system ensures that all possibilities of errors in the code are randomly checked. It is an effective system to detect possibility of runtime errors. The randomized testing using genetic algorithm will call the test cases in a random manner. They will provide the inputs for testing also automatically and it starts testing by calling a test case of random length it will stop the working when it finds any error it can be viewed using minimization. It is faster than conventional testing methods and it is effective in finding the error in the code effectively.
Keywords:	Randomized Testing, Genetic Algorithm, Test Case, Unit Testing, Test Pattern.
Source:	Journal of Theoretical and Applied Information Technology 10^th March 2015 -- Vol. 73. No. 1 -- 2015
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Title:	RADIOLOGY DATA WAREHOUSE DEVELOPMENT AS A MEANS OF EDUCATION, RESEARCH, AND QUALITY ASSURANCE
Author:	VINA GEORGIANA, DANIEL KARTAWIGUNA, INDRAJANI
Abstract:	Today almost all of the data in the radiology department is already in digital form because it is one of the hospital departments that use many computerized systems. The data contains information that is essential for the development of health care. Data warehouse (DW) development has been widely used in business, but it also can be used in health care. The objective of this study is design a model of data warehouse that can be implemented in radiology department so it can be a source of knowledge of radiology science. The research method used on this study are 1) data collection through literature review, forum group discussion with radiologist, and observations; 2) design method of data warehouse using the fourth stages of data warehouse design methodology Kimball and Ross (2013). Through this research we will design a radiology data warehouse so the radiologist or researcher can analyze report requirement from case study of patient historical record and assess the accuracy of diagnosis by comparing the results of radiological diagnosis with laboratory test results and other medical record from anamneses, medical procedure, medical treatment, or patient questionnaire.
Keywords:	Radiology Data Warehouse
Source:	Journal of Theoretical and Applied Information Technology 10^th March 2015 -- Vol. 73. No. 1 -- 2015
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Title:	ANALYTICAL ANALYSIS OF BLOOD SPATTER TRAJECTORY FOR CRIME SCENE INVESTIGATION
Author:	NUSRAT JAHAN SHOUMY, SHAHRUL NIZAM YAAKOB, PHAKLEN EHKAN
Abstract:	This paper presents a noble theoretical method followed by an algorithm for analyzing the trajectory path of linear blood spatter drop in motion base on image of a crime scene. Linear blood spatter drop has some specific pattern with moderate droplet size (Reynolds number, Re >= 1) and elliptical or circular shaped stain. Their free flight trajectories are non-linear such as parabolic motion or motion with drag. So far, works been done using Stokes’ law only for blood-droplet free flight trajectory of motion with drag, which is suitable for very small droplet (Reynolds number, Re << 1), like mist. However, it is not suitable for moderate droplet size. Hence, we introduce two regions of the drag force working on the droplet, Stokes’ law and Newton’s law region depending on their size, velocity and Re values. It also takes into consideration the perturbed path for the droplet’s movement, given room for a small error, δ, for the angle and speed. Hence, more realistic reconstruction of trajectory path along with angle and speed of blood spatter drop compared to available ones. The proposed method could be very helpful for blood spatter image analysis for crime scene investigation in near future.
Keywords:	Newton’s Law, Stokes’ Law, Reynolds’ Number, Trajectory Construction, Blood Spatter Image Analysis.
Source:	Journal of Theoretical and Applied Information Technology 10^th March 2015 -- Vol. 73. No. 1 -- 2015
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Title:	SOFTWARE QUALITY MEASUREMENT AND IMPROVEMENT USING REFACTORING AND SQUARE METRIC METHODS
Author:	FEBY ARTWODINI MUQTADIROH, HANIM MARIA ASTUTI, ARTHA PATRA PRADANA
Abstract:	Software requirement is one of critical factors in a successful software development. Based on some existing researches, a good or poor design of software relies heavily on the quality of software requirements as a definition of software requirements is certainly an early stage in software development. In an IT project, such as a development of School of Social Network (SSN), some problems concerning software quality requirements may occur any time. The changes occurring in the software requirements and the mismatch among the needs, designs, and final result of the project, can lead to poor quality of the software produced. To minimize the problems, it is necessary to measure the quality of software requirements based on SQuaRE Metrics using Refactoring. First, it is to determine the characteristics of software quality requirements. The determination of quality characteristics of SSN is based on an expert experience and eventually sets 4 attributes of software quality requirements that are considered very important, namely: Correctness, Completeness, Consistency and Non-Ambiguity. Second, it is to give a weight on each quality characteristic to obtain the IRQ value. Third, the process of refactoring is conducted to improve the use-case scenarios. And the last step is to re-measure the quality of re-factored software requirement. The early measurements showed that the quality requirements of the SSN reached 39%. Through refactoring process, the improvement of software requirements caused an increase of 6 use cases. And after repair by using refactoring, it increased the quality of the requirements of SSN by 62%. Refactoring is definitely helpful for enhancing the understanding on software requirements without changing the software business process.
Keywords:	Software Requirements, Use Case Scenario, Software Quality, SQuaRE Metrics, Refactoring
Source:	Journal of Theoretical and Applied Information Technology 10^th March 2015 -- Vol. 73. No. 1 -- 2015
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Title:	AN AUTONOMOUS SOFTWARE APPROACH TO ENHANCE INFORMATION SHARING IN UNIVERSITY COURSE TIMETABLE PLANNING
Author:	NAJLAA ATEEQ MOHAMMED DRAIB, ABU BAKAR MD SULTAN
Abstract:	One of the major activities of university departments at the beginning of an academic semester is creating a course timetable. During course timetable creation, a department usually needs to book one or more courses from other departments. In order to book courses, a department needs to send request to another department that offers that course and exchange relevant information with it. This information is essential for the department in order to assign the academic provider resource to appropriate timeslot in its own courses timetable which has to satisfy specific conditions. Information sharing during timetable planning in academic departments still faces difficulties due to the low level of cross-department information sharing. These issues seriously restrict and delay the process of collaborative timetabling planning. In order to automate the information sharing between academic providers in timetabling planning we present a prototype of an autonomous and efficient information sharing tool. The aim of this tool is to reduce communication gaps among the departments. The proposed approach is applied on timetable planning for the department of Computer Science (CS) and Software Engineering (SE) at the Universiti of Putra Malaysia (UPM)
Keywords:	Information Sharing, University Course Timetabling, Sharing Academic Resources, Autonomous Software, Web-Based Decision Making Supporting Tool
Source:	Journal of Theoretical and Applied Information Technology 10^th March 2015 -- Vol. 73. No. 1 -- 2015
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Title:	ANALYTICAL TOOLS FOR VISUALISATION OF INTERACTIONS IN ONLINE E-LEARNING ACTIVITIES ON LMS AND SEMANTIC SIMILARITY MEASURES ON TEXT
Author:	YAHYA AL-ASHMOERY , ROCHDI MESSOUSSI , RAJA TOUAHNI
Abstract:	This paper aims to build an analytical tools system for Learning Management Systems (LMS) that will aid and support teachers and administrators to understand and analyse interaction patterns and knowledge constructions of the participants involved in ongoing online interactions. Most LMS commercial or open source software does not include any tools for comprehensive access tracking and log analysis capabilities They also lack the support for many aspects specific to evaluating participation level , analysing interactions , visually representing ongoing interactions , analysing of the content of messages Semantic .It is difficult and time consuming for the teachers and the educationalists to determine the number of participants, non-participants and lurkers in ongoing discussion. Our analytical tools take a novel approach of using Web log data generated by Learning management systems (LMS) to help instructors become aware of what is happening in distance learning classes. The measure of semantic similarity between texts used in our system, to find out the degree of relation between the messages. It gives the value of relevance in numerical format. The semantic similarity of text utilises WordNet as an underlying ontology for calculating semantic similarity. WordNet is a lexical database for English Language. It is organized as a network which consists of concepts or terms called Synsets (list of synonyms terms) and the relationship between them. There are different types of relationship existing in WordNet such as; is-a, part-of, synonym and antonym. The proposed methods can be used in a variety of applications that involve text knowledge representation and discovery.
Keywords:	Learning Analytics ,Virtual Learning Environments, Log Analysis ,Semantic Similarity, Wordnet
Source:	Journal of Theoretical and Applied Information Technology 10^th March 2015 -- Vol. 73. No. 1 -- 2015
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Title:	WINTERS EXPONENTIAL SMOOTHING AND Z-SCORE, ALGORITHMS FOR PREDICTION OF RAINFALL
Author:	KRISTOKO DWI HARTOMO, SUBANAR, EDI WINARKO
Abstract:	The detailed rainfall forecasting to districts in Indonesia are limited. The researches related to the rainfall forecasting are needed in order to support the development in different fields including agricultural areas. There is no one model or system integrating climatic classifications and the weather forecasting aiming at determination of the ideal cultivating season. This rainfall forecasting was developed by processing the previous rainfall data using the combination of Z-Score model, transformation function, and the Winters Triple Exponential Smoothing. The data resulted from the forecasting was used to determine the spatial-based climatic classification in Boyolali, Central Java, Indonesia using Oldeman method. The proposed model is able to predict the weather using climatic classification. The rainfall data resulted from the proposed forecasting model can be used for climatic classification using Oldeman method in the research area.
Keywords:	Climatic Classification, Forecasting, Model, Oldeman, Transformation, Winters, Z-Score
Source:	Journal of Theoretical and Applied Information Technology 10^th March 2015 -- Vol. 73. No. 1 -- 2015
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Title:	TSHIFTCOLUMN: A NEW TRANSFORMATION IN 128-BIT RIJNDAEL KEY EXPANSION TO IMPROVE SECURITY REQUIREMENTS
Author:	ZAITON MUDA, SALASIAH SULAIMAN, SHARIFAH MD YASIN, RAMLAN MAHMOD
Abstract:	Evolvement in technology has resulted in a large number of new proposals done on Rijndael block cipher. Even though there are many developments done on the enhancement of block cipher algorithm, the industry still requires more as long as security requirements are met. In this paper, we present a new approach called TShiftColumn transformation which is added to the original Rijndael key expansion algorithm to improve security requirements. This new approach follows the green cryptography concept through recycling the existing algorithm by enhancing and improving its security requirements. The TShiftColumn transformation has been tested with two types of tests for security measurement; confusion and diffusion tests. This new transformation has passed the security requirement with better result compared to original Rijndael key expansion algorithm.
Keywords:	Green Cryptography, TShiftcolumn, Rijndael Key Expansion, Confusion, Diffusion
Source:	Journal of Theoretical and Applied Information Technology 10^th March 2015 -- Vol. 73. No. 1 -- 2015
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Title:	A FRAMEWORK TO SUPPORT EVALUATION OF PROJECT IN-HAND AND SELECTION OF SOFTWARE DEVELOPMENT METHOD
Author:	DAYA GUPTA, RINKY DWIVEDI
Abstract:	A Large numbers of software projects fail during their development phases due to high reliance of inappropriate software development methods. It is not advisable to start with a randomly chosen software development methodology for successful completion of a project within budget and target time. All the development methodologies whether belongs to agile or non-agile domain have their merits and demerits. Traditional plan-based software development methods works extremely well if the requirements are static whereas for frequently changing project requirements these methodologies are often considered as slow and insensitive. Agile methods on the other hand are considered as light-weight methods that don’t produce requirement and design documentation needs but requires intensive communication between the developers and users. Here, we present a complete framework, Development Method Selection Framework (DMSF) that provides an overall context in terms of software project parameters for exploration of project-in-hand and selection of software development method.
Keywords:	Software Development Methodology, Impact Of Project Characteristics On Software Method Selection, Agile Software Development, Neural Network Approach For Methodology Selection.
Source:	Journal of Theoretical and Applied Information Technology 10^th March 2015 -- Vol. 73. No. 1 -- 2015
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Title:	INTEGRATED AND EFFICIENT ATTENDANCE MANAGEMENT SYSTEM BASED ON RADIO FREQUENCY IDENTIFICATION (RFID)
Author:	DEDY RAHMAN WIJAYA, IBNU ASROR
Abstract:	Mostly companies or organizations need systems to record their employee attendance. Employee attendance data is very important for companies as one of the parameters to assess performance and discipline of their employees. Nowadays, there are a variety of attendance recording mechanism from manual system to biometrics systems. In this study will be discussed about attendance management system based on Radio Frequency Identification (RFID) technology. RFID is one of enabler technology for Internet of Things (IoT) which is currently being developed. That application of IoT concept can provide solution for many problems that occur in the society, one of them is attendance management system. That system is part of Human Resource Management System (HRMIS) which is the system has been developed has high flexibility to integrate with another system, has transaction processing speed better than biometrics system, and requires an efficient investment for devices. Currently, attendance management system based on RFID has been deployed and running in the production environment and widely used in the Telkom University.
Keywords:	Internet of Things, Radio Frequency Identification, Attendance Management System
Source:	Journal of Theoretical and Applied Information Technology 10^th March 2015 -- Vol. 73. No. 1 -- 2015
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Title:	AN EFFICIENT METHOD FOR SEGMENTATION OF CT-SCAN IMAGE USING MULTIRESOLUTION ANALYSIS (MRA)
Author:	M.NIVAS, Dr.M.RAMAKRISHNAN
Abstract:	Classification of the cancer region from the human organs by means of shape or gray-level information is a demanding task; organs shape varies throw diverse portions in medical heap and the gray-level intensity overlie in soft tissues. Multiresolution analysis based segmentation united with thresholding as pre- and post-processing steps permit accurate detection of ROIs. Curvelet transform is a newest extension of wavelet and ridgelet transforms which focuses on compacting with exciting experiences taking place along curves. This paper focuses on developing an automatic image segmentation method for classifying region of interest (ROI) in medical images which are achieved from various medical scanners such as PET, CT or MRI. The proposed segmentation system utilizes wavelet, ridgelet and curvelet transforms based Multiresolution analysis (MRA). Results attained for curvelet, wavelet and ridgelet transforms experimented on medical data sets are evaluated. Comparison results demonstrate that exploiting curvelet significantly develops the classification of abnormal tissues in the scans and diminish the adjacent noise.
Keywords:	Multiresolution Analysis, Thresholding, Wavelet Transforms, Ridgelet Transforms, Curvelet Transforms,Wrapping
Source:	Journal of Theoretical and Applied Information Technology 10^th March 2015 -- Vol. 73. No. 1 -- 2015
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Title:	A MEDICAL VOLUME SEGMENTATION TECHNIQUE USING 3D DISCRETE WAVELET TRANSFORM (DWT)
Author:	M.NIVAS, Dr.M.RAMAKRISHNAN
Abstract:	3D medical image segmentation focuses at separating the voxels into 3D objects (sub-volumes) which show considerable physical entities. MRA permits for the preservation of an image based on specific levels of resolution or blurring. The superiority of this system makes it important in image compression, de-noising, and classification or segmentation. This paper aims at the implementation of a medical volume segmentation based on 3D MRA methods. Therefore, 3D discrete curvelet transform is proposed and evaluated with the discrete wavelet transform (DWT). An assessment study has been executed to evaluate 2D and 3D techniques which unveil that 3D approaches can exactly locate the region of interest in both phantom and real data.
Keywords:	A3D Image processing, Segmentation, Multi-Resolution Analysis,Discrete Wavelet Transform, Discrete Curvlet Transform.
Source:	Journal of Theoretical and Applied Information Technology 10^th March 2015 -- Vol. 73. No. 1 -- 2015
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Title:	FRAMEWORK FOR SELECTION OF TEST CASES USING AN ETCS APPROACH
Author:	Dr. A. PRAVIN
Abstract:	Inorder to authorize the application after reconstruction Regression Testing is conducted. A horde of analysts worked on this activity to upgrade this process. The regression test is time consuming and the cost involved is high. Our goal is to upgrade the value of fault detection and to diminish the time consumption. This can be done by selecting few test cases and are processed accordingly. The selection process automatically detects the fault during the earlier stage itself. In this paper a method based on the analysis that is carried out on the execution of each application .The analysis is done to find out how far the methods communicate with other and the result is captured. Based on the result obtained the test cases are selected from the set. The proposed Effective Test Case Selection method (ETCS) selects the test case once the application has been modified. The Effective Test Case Selection method will in turn increases the fault detection ratio by detecting faults earlier in the testing process.
Keywords:	ETCS, Regression Testing, Method analysis, Test Case, Test Behavior Extraction.
Source:	Journal of Theoretical and Applied Information Technology 10^th March 2015 -- Vol. 73. No. 1 -- 2015
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Title:	FACE SKIN DISEASE RECOGNATION USING FUZZY SUBTRACTIVE CLUSTERING ALGORITHM
Author:	ABDUL HARIS RANGKUTI, ZULFANY ERLISA RASJID, MUHAMMAD IMADUDDIN, ARIE SURYA CHANDRA, DENNY CHANCRA
Abstract:	Face skin is the most sensitive part of the body compared to other parts of the body and therefore need special attention. Face skin problems such as acne, comedo or wrinkles causes people to be insecure as well as a health hazard if it is not treated. This research is related to face skin disease, such as acne, blackheads or comedo, skin infection etc. In general, those diseases can become dangerous if it is not handled immediately. This research will facilitate user to determine the recommended treatments for this skin disease based on the symptoms, and the recommended medicines to treat the disease. The research include the analysis method through surveys, including interviews with several specialists who specializes in skin treatments and diseases. The data processing of patients’ is using fuzzy subtractive clustering algorithm to provide recommendation of treatments for the skin disease. After clustering and a series of inputs of symptoms, this research is able to provide an introduction of skin disease at the precision close to 100 percents and able to recommend correct treatments which is mostly the same as the treatment by a dermatologist.
Keywords:	Skin Disease, Skin Infection, Medicine, Fuzzy Subtractive Clustering,Skin Treatments
Source:	Journal of Theoretical and Applied Information Technology 10^th March 2015 -- Vol. 73. No. 1 -- 2015
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