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Comparative performance of fault-prone prediction classes with k-means clustering and MLP
(Association for Computing Machinery, 2016)
Software defect in today's era is most important in the field of software engineering. Most of the organizations used various techniques to predict defects in their products before they are delivered. Defect prediction ...
A systematic literature review: Refactoring for disclosing code smells in object oriented software
(Ain Shams University, 2016)
Context: Reusing a design pattern is not always in the favor of developers. Thus, the code starts smelling. The presence of "Code Smells" leads to more difficulties for the developers. This racket of code smells is sometimes ...
Classification of defective modules using object-oriented metrics
(Inderscience Enterprises Ltd., 2017)
Software defect in today's era is crucial in the field of software engineering. Most of the organisations use various techniques to predict defects in their products before they are delivered. Defect prediction techniques ...
Neural network based refactoring area identification in Software System with object oriented metrics
(Indian Society for Education and Environment, 2016)
Objectives of the Study (a) To study previously designed models for identification of refactoring area in Object Oriented Software Systems. (b) To design a general framework or model that helps to easily identify the ...
Code clone detection and analysis using software metrics and neural network: A Literature Review
(Eighth Sense Research Group, 2015)
Code clones are the duplicated code which degrade the software quality and hence increase the maintenance cost. Detection of clones in a large software system is very tedious tasks but it is necessary to improve the design, ...
Comparison and analysis of logistic regression, Na�ve Bayes and KNN machine learning algorithms for credit card fraud detection
(Springer Science and Business Media B.V., 2020-02-15)
Financial fraud is a threat which is increasing on a greater pace and has a very bad impact over the economy, collaborative institutions and administration. Credit card transactions are increasing faster because of the ...
Defect prediction model of static code features for cross-company and cross-project software
(Springer Science and Business Media B.V., 2018-12-06)
Software project metrics are seen needless in software industries but they are useful when some unacceptable situations come in the project (Satapathy et al., Proceedings of the 48th annual convention of CSI, vol 2, 2013). ...
Texture-Based Automated Classification of Ransomware
(Springer, 2020-10-31)
Reliance on digital data has been increased with easy availability of user friendly software to store and manipulate data with much less effort. This digital data can become very hard to maintain if no security mechanisms ...
Proposed Model for Context Topic Identification of English and Hindi News Article Through LDA Approach with NLP Technique
(Springer, 2021-08-14)
According to the survey, India has the world's second-largest newspaper market, with more than 100�K newspaper outlets, approx 240 million circulation, and 1300 million subscribers or readers. The topic modeling work is ...
Text Similarity Measures in News Articles by Vector Space Model Using NLP
(Springer, 2020-11-07)
The present global size of online news websites is more than 200 million. According to MarketingProfs, more than 2 million articles are published every day on the web, but Online News websites have also circulated editorial ...