Journal of Open Source Developments
Volume 7, Issue 3 (2020)
Published
Table of contents
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A Review of Code Defect Likelihood Using ML Methods
Abstract: AbstractSoftware begets defects and defects are inevitable in software design and coding. This paper focused on five machine learning analysis models (MLAM); Support Vector Machine, Random Forest, K-Nearest Neighbor, Classification and Regression Tree, and Linear Discriminant Analysis. These models are trained to detect software defects using the software defect dataset from Promise data repository. The collected dataset is preprocessed to reduce the amount of redundant features using a dimension reduction …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 1–6 Read article
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A Survey on Datamining Techniques and its Uses on Real-Time Applications
Abstract: AbstractData mining is one of the area gaining lot of sensible significance and is progressing at a brisk pace with new methods, methodologies and findings in diverse packages associated with remedy, computer science, bioinformatics and stock market prediction, climate forecast, textual content, audio and video processing to name a few. Data occurs to be the key difficulty in statistics mining. With the massive online facts generated from several sensors, Internet …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 12–17 Read article
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Big Data: A Survey Paper on MapReduce Big Data
Abstract: AbstractHadoop MapReduce is processed for analysis large volume of data through multiple nodes in parallel. However, MapReduce has two function Map and Reduce, large data is stored through HDFS. Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range. Currently, over This survey intends to assist the …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 18–27 Read article
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Sustainability in Requirement Analysis and Quality Assurance: An Improved and Enhanced SDLC
Abstract: AbstractIn each and every field of today’s world, information technology has established its remarkable and unavoidable footprint. Along with all its positive side, some negative issues are also associated with it. The objective of this paper is to highlight some major issues and their adverse impact on society and environment. This paper has also analysed the role of sustainability in software engineering and how sustainability can enhance software engineering process …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 28–31 Read article
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A Study on K-Nearest Neighbor Techniques with Other Techniques
Abstract: AbstractThe closest neighbor (NN) system is basic, exceptionally proficient and feasible in the field of example acknowledgment, content arrangement, object acknowledgment and so forth. Its straightforwardness is its primary preferred position; however, the impediments cannot be overlooked even. The memory necessity and calculation unpredictability are moreover matters. Numerous methods are created to defeat these restrictions. NN procedures are comprehensively ordered into structure less and structure-based procedures. In this paper, we …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 7–11 Read article