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Singh, Gajendra
- Improvement and Implementation of Software Quality by Using Software Metrics
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Authors
Affiliations
1 Department of Computer Science and Engineering, Sri Satya Sai Institute of Science and Technology, Sehore (M.P), IN
1 Department of Computer Science and Engineering, Sri Satya Sai Institute of Science and Technology, Sehore (M.P), IN
Source
International Journal of Scientific Engineering and Technology, Vol 3, No 6 (2014), Pagination: 738-742Abstract
Without the software development and software product knowledge it’s very complicated to understand, keep away from improvement in the quality of software. There should be some dimension process to forecast the software development, and to appraise software products and its quality. In This paper provides a brief view on Software Metrics, Software Quality and Software Metrics techniques that will forecast and evaluate the specified superiority factors of software which will relate to quality. It additional discusses regarding the Quality as given through the principles like ISO, principal elements necessary for the Software Metrics and Software Quality as the measurement method to forecast the Quality in the Software. Java source code evolution are using for Software Metrics, like Defect Metrics, Size Metrics, and Complexity Metrics. Presented experiments are proving that, the software quality can be analyzed, observed, and enhanced through software metrics usage.Keywords
Software Product Metrics, Software Metrics, Quality, Software Code, Software Product Metrics, Software Quality Metrics, Software Metrics Usability.Full Text
- A Machine Learning Approach for Detection of Fraud Based on SVM
Abstract Views :113 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science and Information Technology, SSSIST, Sehore, M.P., IN
2 Aligarh Muslim University, Aligarh, IN
1 Department of Computer Science and Information Technology, SSSIST, Sehore, M.P., IN
2 Aligarh Muslim University, Aligarh, IN
Source
International Journal of Scientific Engineering and Technology, Vol 1, No 3 (2012), Pagination: 192-196Abstract
The growth of e-commerce increases the money transaction via electronic network which is designed for hassle free fast & easy money transaction but the facility involves greater risk of misuse of facility for fraud one of them is credit card fraud it can be happened by many types as by stolen card, by internet hackers who can hack your system & get important information about your card, or by information leakage during the transaction, although many person has proposed their work for credit card fraud detection by characterizing the user spending profile, but in this paper we are proposing the SVM(support vector machine) based method with multiple kernel involvement also including several fields of user profile instead of only spending profile & the simulation result shows improvement in TP(true positive), TN(true negative) rate, it also decreases the FP(false positive) & FN(false negative) rate.Keywords
Fraud Detection, Kernels, SVM (Support Vector Machine).Full Text