Tengku Nadzirah, Tengku Majani (2019) Trend analysis of software engineering scientific publications. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang.
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Abstract
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.
| Item Type: | Undergraduates Project Papers |
|---|---|
| Additional Information: | Project Paper (Bachelors of Computer Science (Software Engineering)) -- Universiti Malaysia Pahang – 2019, SV: PROF. DR. VITALIY MEZHUYEV, e-Thesis |
| Uncontrolled Keywords: | Trend analysis; scientific publications |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Mrs. Sufarini Mohd Sudin |
| Date Deposited: | 19 Dec 2019 03:17 |
| Last Modified: | 19 Dec 2019 03:17 |
| URI: | http://umpir.ump.edu.my/id/eprint/27053 |
| Download Statistic: | View Download Statistics |
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