C: Software & Data Engineering (217)
GJCST: C
An Overview of Recent Trends in Software Testing
Published In: GJCST Part: C: Software & Data Engineering Volume: 14 Issue: 8 In the field of search based software testing, genetic algorithm based testing has received a major share of attention among researchers during the last few years. Though there are advantages for this type of testing, there also exist some practical difficulties which can make this technique less attractive for software testing industry. The potential of program slicing in testing has no...
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Authors Anupama Surendran, Philip SamuelRead Journal Click Here
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Page No. 7 to 27
Data Link Layer Designing Issues: Error Controlâ€â€A Roadmap
Published In: GJCST Part: C: Software & Data Engineering Volume: 14 Issue: 8 Different networks are used to transfer data from one device to another with acceptable accuracy. For most applications, a system must guarantee that the data received are identical to the data transmitted. Transmission media are most error-prone link. In a network, the capacity of nodes is different and the rate at which the sender is sending data might not be the same rate at which the...
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Authors Monika Singh, Ruhi SaxenaRead Journal Click Here
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Page No. 1 to 5
Optimized Anomaly based Risk Reduction using PCA based Genetic Classifier
Published In: GJCST Part: C: Software & Data Engineering Volume: 14 Issue: 7 Security risk analysis is the thrust area for the information based world. The researchers in this field deployed numerous techniques to overcome the information security oriented problem. In this paper the researcher tried for a approach of using anomaly detection for the risk reduction. The hub initiative for this work is that the anomalies are the deviation which could increase the pe...
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Authors C.Kavitha, Dr. K.IyakuttiRead Journal Click Here
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Page No. 31 to 37
Job Stress in Software Companies: A Case Study of HCL Bangalore, India
Published In: GJCST Part: C: Software & Data Engineering Volume: 14 Issue: 7 In India software industry has become one of the fastest growing industries. The reason for choosing a particular software industry and its employees is that the level of stress these employees face is comparatively higher than employees in other private companies. Any kind of a job has targets and an employee becomes stressed when he or she is allotted with unachievable targets and are ...
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Authors Geeta Kumari, Dr. Gaurav Joshi, Dr. K.M. PandeyRead Journal Click Here
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Page No. 23 to 29
SDLC and Development Methodologies
Published In: GJCST Part: C: Software & Data Engineering Volume: 14 Issue: 7 The overall purpose of any design review is to make sure that the stakeholders understand the design, and that they can confirm that the project team understands their needs and that the project is on the right track. In specific terms that are relevant to SDLC, since SDLC, or Systems Development Life Cycle, is a cyclical methodology, phases repeat, so changes can be made to the design i...
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Authors Richard ScrogginsRead Journal Click Here
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Page No. 21 to 22
Gray Scale and Color Medical Image Compression by Lifting Wavelet; Bandelet and Quincunx Wavelets Transforms : A Comparison Study
Published In: GJCST Part: C: Software & Data Engineering Volume: 14 Issue: 7 The Quincunx wavelet , the lifting Scheme wavelet and the Second generation bandelet transform are a new method to offer an optimal representation for image geometric; we use this transform to study medical image compressed using the Quincunx transform coupled by SPIHT coder. We are interested in compressed medical image, In order to develop the compressed algorithm we compared our resul...
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Authors Boukli Hacene Ismail, A.BessaidRead Journal Click Here
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Page No. 13 to 19
An under-Sampled Approach for Handling Skewed Data Distribution using Cluster Disjuncts
Published In: GJCST Part: C: Software & Data Engineering Volume: 14 Issue: 7 In Data mining and Knowledge Discovery hidden and valuable knowledge from the data sources is discovered. The traditional algorithms used for knowledge discovery are bottle necked due to wide range of data sources availability. Class imbalance is a one of the problem arises due to data source which provide unequal class i.e. examples of one class in a training data set vastly outnumber e...
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Authors Syed Ziaur Rahman, Dr. G Samuel Vara Prasad Raju, Dr. Ali Mirza MahmoodRead Journal Click Here
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Page No. 1 to 11
Extended Edgecluster based Technique for Social Networking Collective Behavior Learning System
Published In: GJCST Part: C: Software & Data Engineering Volume: 14 Issue: 6 Growing interest and continuous development of social network sites like Facebook, Twitter, Flicker, and YouTube etc.turn to several researchers for research study, planning and rigorous development. Exact people behavior prediction is the most important challenge of these on-line social networking websites. This research focus to learn to predict collective behavior in social media netw...
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Authors Umesh B.Shingote, Dr. Setu Kumar ChaturvediRead Journal Click Here
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Page No. 39 to 46
Strategy Design Pattern
Published In: GJCST Part: C: Software & Data Engineering Volume: 14 Issue: 6 Design patterns usually describe abstract systems of interaction between classes, objects, and communication flows. So, a description of a set of interacting classes that provide a generalized solution framework to a generalized/specific design problem in a specific context can be said as a design pattern. There are many design patterns that can be used to solve real-life problems, but i...
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Authors Mrs. Renu Bala, Mr. KapilKumar KaswanRead Journal Click Here
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Page No. 35 to 38
Enhanced Re-ranking and Semantic Similarity Algorithm for Image Search Goals using Click-through Logs
Published In: GJCST Part: C: Software & Data Engineering Volume: 14 Issue: 6 The objective of the proposal is to analyze the user search goals for a query which can be very useful in improving search engine relevance and user experience. Although the research on inferring user goals or intents for text search has received much attention, little has been proposed for image search with visual information. In this project, we propose a novel approach to capture user...
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Authors Shamali Kishor Kherdikar, Rajesh KulkarniRead Journal Click Here
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Page No. 29 to 34
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A Review-:Benefits and Critical Factors of Customer Relationship Management
Published In: GJCST Part: C: Software & Data Engineering Volume: 14 Issue: 6 Customer Relationship Management (CRM) is a technical jargon which is a blend of methodologies, software and internet, which are used by a company to achieve its goal through the identification and satisfaction of customer’s stated and unstated needs and wants. This software addresses customer life cycle management. This system manages company interactions with current a...
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Authors Pooja Nahar, Vijay Pal DhakaRead Journal Click Here
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Page No. 25 to 28
Measurement and Prediction of Software Performance by Models
Published In: GJCST Part: C: Software & Data Engineering Volume: 14 Issue: 6 Software Performance Engineering (SPE) provides a systematic, quantitative approach to constructing software systems that meet performance objectives. It prescribes ways to build performance into new systems rather than try to fix them later. Performance is a pervasive quality of software systems; everything affects it, from the software itself to all underlying layers, such as operating...
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Authors G.Kasi Reddy, Dr. D Sravan KumarRead Journal Click Here
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Page No. 17 to 23
Recognizing Human Affection: Smartphone Perspective
Published In: GJCST Part: C: Software & Data Engineering Volume: 14 Issue: 6 Touch-screen Smartphone has become an obligatory segment in the lives of billions of people around the world. Understanding the human affection or emotional state of the user enables efficient human computer interaction. Smartphone is one of the most frequently used electronic devices and the number of applications developed for it is increasing day by day. Emotion recognition of the use...
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Authors Mefta Sadat, Rasam Bin Hossain, Hasan MahmudRead Journal Click Here
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Page No. 9 to 16
A Cost Sensitive Machine Learning Approach for Intrusion Detection
Published In: GJCST Part: C: Software & Data Engineering Volume: 14 Issue: 6 The problems with the current researches on intrusion detection using data mining approach are that they try to minimize the error rate (make the classification decision to minimize the probability of error) by totally ignoring the cost that could be incurred. However, for many problem domains, the requirement is not merely to predict the most probable class label, since different types ...
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Authors Adamu Teshome, Dr.Vuda Sreenivasa RaoRead Journal Click Here
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Page No. 1 to 8