C: Software & Data Engineering (217)
GJCST: C
Artificial System for Prediction of Student’s Academic Success from Tertiary Level in Bangladesh
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 15
Every year a large scale of students in Bangladesh enrol in different Universities in order to pursue higher studies. With the aim to build up a prosperous career these students begin their academic phase at the University with great expectation and enthusiasm. However among all these enthusiastic and hopeful bright students many seem to become successful in their academic career and fou...
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Authors Dr. Linkon Chowdhury, Shahana YeasminRead Journal Click Here
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Page No. 55 to 63
Instructive of Ooze Information
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 13
We study the following problem: A data distributor has given sensitive data to a set of supposedly trusted agents (third parties). Some of the data are leaked and bring into being in an unconstitutional place (e.g., on the web or somebody’s laptop). The distributor must evaluate the likelihood that the leaked data came from one or more agents, as opposed to having been i...
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Authors Sudheer Kumar Kotha, CH.S.V.V.S.N.MurthyRead Journal Click Here
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Page No. 1 to 4
Clustering On Large Numeric Data Sets Using Hierarchical Approach: Birch
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 12
The paper is about the clustering on large numeric data sets using hierarchical method. In this BIRCH approach is used, to reduce the amount of data, for this a hierarchical clustering method was applied to pre-process the dataset. Now a day’s web information plays a prominent role in the web technology, large amount of data is consumed to communicate, but some with intr...
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Authors D. Pramodh Krishna,Dr. A. Senguttuvan,T. Swarna LathaRead Journal Click Here
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Page No. 29 to 32
Quantitative Analysis of Fault and Failure Using Software Metrics
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 12
It is very complex to write programs that behave accurately in the program verification tools. Automatic mining techniques suffer from 90–99% false positive rates, because manual specification writing is not easy. Because they can help with program testing, optimization, refactoring, documentation, and most importantly, debugging and repair. To concentrate on this proble...
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Authors ShitalV. Tate, S. Z. GawaliRead Journal Click Here
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Page No. 1 to 4
A Hybrid Random Forest based Support Vector Machine Classification Supplemented by Boosting
Published In: GJCST Part: C: Software & Data Engineering Volume: 14 Issue: 1
This paper presents an approach to classify remote sensed data using a hybrid classifier. Random forest, Support Vector machines and boosting methods are used to build the said hybrid classifier. The central idea is to subdivide the input data set into smaller subsets and classify individual subsets. The individual subset classification is done using support vector machines classifier. B...
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Authors Tarun Rao, T.V.RajinikanthRead Journal Click Here
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Page No. 43 to 54
A Naive Based Approach for Mapping Two ADL Models
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 11
In software engineering, we have identified and described the model correspondence problem. To Describe system architecture and artifacts uses models and diagrams. Models contains series of versions. To understand how versions correspondence are difficult. So, we designed a framework based on Search and Ammolite algorithms, which can cardinally finds the correspondence software models. M...
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Authors Dr. Sai Bharath Kadati, CH. Gouthami, K. K. Baseer, A. Rama Mohan ReddyRead Journal Click Here
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Page No. 47 to 58
Text Categorization and Machine Learning Methods: Current State Of The Art
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 11
In this informative age, we find many documents are available in digital forms which need classification of the text. For solving this major problem present researchers focused on machine learning techniques: a general inductive process automatically builds a classifier by learning, from a set of pre classified documents, the characteristics of the categories. The main benefit of the pre...
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Authors Durga Bhavani Dasari, Dr. Venu Gopala Rao. KRead Journal Click Here
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Page No. 37 to 46
An Extension of Description Logic AL
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 11
The research in the domain of knowledge representation and reasoning has always concentrated on the methods that give a good description in the domain where they are able to be used to construct intelligent applications. Description Logics are a family of languages of knowledge representation which can be used to represent knowledge of a field of applications by clear, formal and structu...
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Authors Dr. F. MamacheRead Journal Click Here
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Page No. 31 to 35
Data Stream Mining: A Review on Windowing Approach
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 11
In the data stream model the data arrive at high speed so that the algorithms used for mining the data streams must process them in very strict constraints of space and time. This raises new issues that need to be considered when developing association rule mining algorithms for data streams. So it is important to study the existing stream mining algorithms to open up the challenges and ...
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Authors Mr. Pramod S. and O.P VyasRead Journal Click Here
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Page No. 27 to 30
Diligence of Domain Engineering in Accounting Management System
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 11
This paper presents on domain feature modeling, domain architecture design and domain implementation in an enterprise. This paper demonstrates the accounting management feature modeling based on the extended (Feature-Oriented Domain Analysis) FODA method and system architecture of accounting management domain, integrates Aspect Object Oriented Programming technology with domain implement...
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Authors Dr. Mukesh Kumar, Pro. (Dr.) Parveen Kumar, SeemaRead Journal Click Here
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Page No. 21 to 25
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UML Modeling for Tea / Coffee Machine
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 11
Unified Modeling language (UML) is one of the important modeling languages used for the visual representation of the research problem. In the present paper, UML model is designed for the Tea / Coffee Machine which is used for the purpose of the public in the hotels or restaurants’. The class and use case diagrams are designed & performance is evaluated as a sample progra...
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Authors Dr. S. Venu Gopal, Mr. H. Venkateswara Reddy, Mr. G. SreenivasuluRead Journal Click Here
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Page No. 1 to 2
Developing an Embedded Model for Test suiteprioritization process to optimize consistency rules forinconsistencies detection and model changes
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 11
Software form typically contains a lot of contradiction and uniformity checkers help engineers find them. Even if engineers are willing to tolerate inconsistencies, they are better off knowing about their existence to avoid follow-on errors and unnecessary rework. However, current approaches do not detect or track inconsistencies fast enough. This paper presents an automated approach for...
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Authors Dr. Muzammil H Mohammed, Sultan AljahdaliRead Journal Click Here
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Page No. 3 to 15
Application of Information TechnologyIn Consumer Indexing Through Geographical Information System For Power Utilities
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 10
DC, DR, MSSQL, SOA, Microsoft BizTalk, CRM, VRF, NLD, MPLS. ...
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Authors Dr. Jalpesh Solanki, Utkarsh SeethaRead Journal Click Here
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Page No. 21 to 25
Approach to Quality Testing
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 12
Time is the most important resource for any activity. Software development is no exception. With an increase in the competition in the market, it is very essential for the companies to release their products into the market at the earliest with good quality to earn profit. In order to develop the products early, companies implement various techniques like Rapid Application development an...
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Authors Dr.Drakshaveni GRead Journal Click Here
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Page No. 23 to 27
