Trend analysis of software engineering scientific publications

One of the most important problems for a researcher is how to identify the current trends and topics in the scientific publications. There is a diversity of specific keywords in the scientific journals and papers that had been published. The study aimed to analyse the existing methods and technique...

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Main Author: Tengku Nadzirah, Tengku Majani
Format: Undergraduates Project Papers
Language:English
Published: 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/27053/1/Trend%20analysis%20of%20software%20engineering%20scientific.pdf
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author Tengku Nadzirah, Tengku Majani
author_facet Tengku Nadzirah, Tengku Majani
author_sort Tengku Nadzirah, Tengku Majani
collection UMP
description One of the most important problems for a researcher is how to identify the current trends and topics in the scientific publications. There is a diversity of specific keywords in the scientific journals and papers that had been published. The study aimed to analyse the existing methods and technique to predict trends of scientific publications. To get the suitable solution to the problem, this work proposes an implementation of the algorithm for trend analysis in Software Engineering scientific literature. The estimation of the future trend is done by development of the algorithm linear regression algorithm in Matlab. With data collected from the main Science Direct database with of Software Engineering keywords, validation of the proposed algorithms on the case study was done. The implementation of the algorithm will help the users to see the trends and recognize patterns in Software Engineering scientific publications in future. In Matlab, the study focused on linear regression Matlab code to achieve the desire results.
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spelling UMPir270532019-12-19T03:17:40Z http://umpir.ump.edu.my/id/eprint/27053/ Trend analysis of software engineering scientific publications Tengku Nadzirah, Tengku Majani QA76 Computer software One of the most important problems for a researcher is how to identify the current trends and topics in the scientific publications. There is a diversity of specific keywords in the scientific journals and papers that had been published. The study aimed to analyse the existing methods and technique to predict trends of scientific publications. To get the suitable solution to the problem, this work proposes an implementation of the algorithm for trend analysis in Software Engineering scientific literature. The estimation of the future trend is done by development of the algorithm linear regression algorithm in Matlab. With data collected from the main Science Direct database with of Software Engineering keywords, validation of the proposed algorithms on the case study was done. The implementation of the algorithm will help the users to see the trends and recognize patterns in Software Engineering scientific publications in future. In Matlab, the study focused on linear regression Matlab code to achieve the desire results. 2019-01 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27053/1/Trend%20analysis%20of%20software%20engineering%20scientific.pdf Tengku Nadzirah, Tengku Majani (2019) Trend analysis of software engineering scientific publications. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://fypro.ump.edu.my/ethesis/index.php
spellingShingle QA76 Computer software
Tengku Nadzirah, Tengku Majani
Trend analysis of software engineering scientific publications
title Trend analysis of software engineering scientific publications
title_full Trend analysis of software engineering scientific publications
title_fullStr Trend analysis of software engineering scientific publications
title_full_unstemmed Trend analysis of software engineering scientific publications
title_short Trend analysis of software engineering scientific publications
title_sort trend analysis of software engineering scientific publications
topic QA76 Computer software
url http://umpir.ump.edu.my/id/eprint/27053/1/Trend%20analysis%20of%20software%20engineering%20scientific.pdf
work_keys_str_mv AT tengkunadzirahtengkumajani trendanalysisofsoftwareengineeringscientificpublications