KIPS Transactions on
Software and Data Engineering

Published by KIPS (Korea Information Processing Society)
Frequency: Monthly, ISSN 2287-5905 (Print), ISSN 2734-0503 (Online)

KIPS Trans. Softw. and Data Eng. was merged and renamed from The KIPS Transaction: Part B (1598-284X) and The KIPS Transaction: Part D (1598-2866), which were first published in 1994. After the official meeting of the Korea Information Processing Society in April 13, 2012 in Seoul, Korea, the board members of the Society decided to publish the journal dealing with software and data engineering research not only in Korea but also in the world. This work was supported by the Korean Federation of Science and Technology Societies (KOFST) grant funded by the Korean Government, indexed by Korea Science, Korea Citation Index (KCI), and EBSCO.

Online Submission

Highlights more

A Study on Improving Performance of Software Requirements Classification Models by Handling Imbalanced Data

Software requirements written in natural language may have different meanings from the stakeholders’ viewpoint. When designing an architecture based on quality attributes, it is necessary to accurately classify quality attribute requirements because...
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Extending StarGAN-VC to Unseen Speakers Using RawNet3 Speaker Representation

Voice conversion, a technology that allows an individual’s speech data to be regenerated with the acoustic properties(tone, cadence, gender) of another, has countless applications in education, communication, and entertainment. This paper proposes a...
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A Study on Classification Models for Predicting Bankruptcy Based on XAI

Efficient prediction of corporate bankruptcy is an important part of making appropriate lending decisions for financial institutions and reducing loan default rates. In many studies, classification models using artificial intelligence technology hav...
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Detecting Common Weakness Enumeration(CWE) Based on the Transfer Learning of CodeBERT Model

Recently the incorporation of artificial intelligence approaches in the field of software engineering has been one of the big topics. In the world, there are actively studying in two directions: 1) software engineering for artificial intelligence an...
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Most Downloaded Papers (2022 ~ 2024) more

Temporal Fusion Transformers and Deep Learning Methodsfor Multi-Horizon Time Series Forecasting
InKyung Kim, DaeHee Kim, Jaekoo Lee
KIPS Transactions on Software and Data Engineering, Vol. 11, No. 2, pp. 81-86, Feb. 2022
Keywords: Time Series, Multi-variate Data Analysis, Multi-horizon Forecasting, Deep Learning, Neural Networks

Electric Power Demand Prediction Using Deep Learning Model with Temperature Data
Hyoup-Sang Yoon, Seok-Bong Jeong
KIPS Transactions on Software and Data Engineering, Vol. 11, No. 7, pp. 307-314, Jul. 2022  
Keywords: Electric Power Demand Prediction, Deep Learning, WaveNet, Temperature Data

Deep Learning Based Semantic Similarity for Korean Legal Field
Sung Won Kim, Gwang Ryeol Park
KIPS Transactions on Software and Data Engineering, Vol. 11, No. 2, pp. 93-100, Feb. 2022
Keywords: NLP, LegalTech, Semantic similarity, BERT, Legal

Design of Robot Arm for Service Using Deep Learning and Sensors
Myeong Suk Pak, Kyu Tae Kim, Mo Se Koo, Young Jun Ko, Sang Hoon Kim
KIPS Transactions on Software and Data Engineering, Vol. 11, No. 5, pp. 221-228, May. 2022
Keywords: Robot Arm, Deep Learning, Inverse Kinematics, Force Sensor

De Novo Drug Design Using Self-Attention Based Variational Autoencoder
Piao Shengmin, Jonghwan Choi, Sangmin Seo, Kyeonghun Kim, Sanghyun Park
KIPS Transactions on Software and Data Engineering, Vol. 11, No. 1, pp. 11-18, Jan. 2022  
Keywords: De Novo Drug Design, SMILES, Deep Learning, self-attention, Variational AutoEncoder

Latest Publication | (Vol. 13, No.1, Jan. 2024)|

Analysis of the Effectiveness of Big Data-Based Six Sigma Methodology: Focus on DX SS
Kim Jung Hyuk, Kim Yoon Ki
KIPS Transactions on Software and Data Engineering, Vol. 13, No. 1, pp. 1-16, Jan. 2024
Keywords: Big data, 6 Sigma, Effectiveness Analysis, Key Success Policy

Kernel-Based Video Frame Interpolation Techniques Using Feature Map Differencing
Dong-Hyeok Seo, Min-Seong Ko, Seung-Hak Lee, Jong-Hyuk Park
KIPS Transactions on Software and Data Engineering, Vol. 13, No. 1, pp. 17-27, Jan. 2024
Keywords: Deep Learning, Frame Differencing, Video Frame Interpolation, U-net

Exploring the Motivational Factors Influencing on Learner Participation of
JungHyun Park, Ji Su Park, Jin Gon Shon
KIPS Transactions on Software and Data Engineering, Vol. 13, No. 1, pp. 28-34, Jan. 2024
Keywords: Adult Learner, E-learning, Learning Motivation, Motivational Factor, Learner Participation

Analysis of Research Trends in Deep Learning-Based Video Captioning
Lyu Zhi, Eunju Lee, Youngsoo Kim
KIPS Transactions on Software and Data Engineering, Vol. 13, No. 1, pp. 35-49, Jan. 2024
Keywords: Video Captioning, computer vision, Natural Language Processing, Deep Learning

Publication Ethics

With regard to ethical standards, KTSDE (KIPS Transactions on Software and Data Engineering) takes plagiarism very seriously and thoroughly checks all articles. KTSDE defines research ethics as securing objectivity and accuracy in the execution of research and the conclusion of results without any unintentional errors resulting from negligence or incorrect knowledge, etc. and without any intentional misconduct such as falsification, plagiarism, etc. When an author submits a paper to the KTSDE online submission and peer-review system, he/she should also upload the separate file "author check list" which contains a statement that all his/her research has been performed in accordance with ethical standards.

Among the KTSDE editorial board members, there are vice editor-in-chiefs who support KTSDE by dealing with any ethical problems associated with the publication process and give advice on how to handle cases of suspected research and publication misconduct. When the KTSDE manuscript editor (or the KTCCS secretary) looks over submitted papers and checks that they are suitable for further processing, the manuscript editor also routes them to the CrossCheck service provided by iThenticate. Based on the results provided by the CrossCheck service, the KTSDE vice editor-in-chiefs inform the KTSDE editor-in-chief of any plagiarism that is detected in a paper. Then, the KTSDE editor-in-chief communicates such detection to the author(s) while rejecting the paper.

  Open Access

Since 2012, all papers published in KTSDE are subjected to a peer review and upon acceptance are immediately made permanently available free of charge for everyone worldwide to read and download from the journal’s homepage ( without any subscription fee or personal registration. They are 'Open Access' papers distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. This policy supports and encourages the publication of quality papers, making the journal an international forum for the exchange of different ideas and experiences.

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