Research Cluster

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ICT Mahidol Research Clusters

Software Engineering and Business Analytics Research Clusters (SEBA)

Cluster Director : Asst. Prof. Dr. Thanwadee Sunetnanta

E-mail: thanwadee.sun

mahidol.ac.th

SEBA Research Cluster Information

Focus:

The SEBA cluster will focus on the industry-based problems in software engineering (SE) and business analytics (BA). By leveraging the state-of-the-art techniques in both areas, we can increase the quality of software and business analytics, improve the software development and business analytics processes, and generate the business value.

Members:

Asst. Prof. Dr. Thanwadee Sunetnanta

Dr. Chaiyong Ragkhitwetsagul

Asst. Prof. Dr. Morakot Choetkiertikul

Asst. Prof. Dr. Srisupa Palakvangsa Na Ayudhya

Dr. Akara Supratak

Asst. Prof. Dr. Boonsit Yimwadsana

Asst. Prof. Dr. Preecha Tangworakitthaworn

Dr. Siripen Pongpaichet

Asst. Prof. Dr. Songsri Tangsripairoj

Dr. Wudhichart Sawangphol

Current Research Projects:

ASETSI: AUTOMATED SOFTWARE ENGINEERING FOR THAILAND SOFTWARE INDUSTRY

Team: Chaiyong Ragkhitwetsagul, Jens Krinke, Morakot Choetkiertikul, Thanwadee Sunetnanta, Federica Sarro
Funding: Industry Academia Partnership Programme – 18/19 (IAPP18-19\74)
Funding Agencies: Newton Fund, UK, Royal Academy of Engineering (RAEng), UK and Thailand Science, Research, and Innovation (TSRI), Thailand

Summary: This project aims to study the challenges Thai software development SMEs currently face and train them to adopt ASE to tackle such challenges, the quality and quantity of software products developed in Thailand will be tremendously increased. This project provides benefits to both the UK and the Thai partners. First, it provides knowledge transfer of ASE expertise from the UK to improve the capabilities of Thailand software companies. Second, the project enables the UK researchers to study the productivity gain through applying ASE techniques into SMEs. The project will include a series of training/hands-on workshop sessions held in Thailand on topics surrounding ASE with the trainers/facilitators from both the UK and Thai partners. This project is an important milestone to establish further UK-Thailand software engineering research collaboration. More info: https://muict-seru.github.io/ASETSI

SE4DS: APPLYING SOFTWARE ENGINEERING FOR IMPROVING THE DEVELOPMENT OF DATA SCIENCE APPLICATION

Team: Apirak Hoonlor, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Thanwadee Sunetnanta, Siripen Pongpaichet
Funding: Mahidol Mini Research Cluster Funding, 2021-2022
Funding Agency: Mahidol University

Summary: There has not been a study to identify a framework for applying software engineering to better develop and maintain data science applications. Thus, this project aims to answer the following research questions.

What software engineering modeling, methods, techniques, and standards have been applied in the creation of data science applications (or projects) as recorded in the literature (ACM Digital Library, IEEE Xplore, and Scopus)?
What software engineering modeling, methods, and techniques have been directly applied to develop and maintain data science applications by professionals (as seen from the GitHub repositories and the interviews/survey)? And what is their effectiveness?
What are the software engineering techniques used to develop and maintain data science applications? What SE framework can be used to better the management and maintenance of the DS projects?

EFFECTS OF COVID-19 TO SOFTWARE DEVELOPMENT IN THAILAND

Team: Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Thanwadee Sunetnanta, Srisupa Palakvangsa Na Ayudhya, Napaphat Satchanawakul

Summary: We study the effects of COVID-19 on Thai software developers to better understand such effects of COVID-19 in Thailand’s context. Due to the different in culture and society, Thai software developers may face different challenges and may need different supports from their organizations during and after the pandemic compared to the Wester culture and companies. This research also aims to further extend the investigation of effects from COVID-19 or similar kind of phenomenon to the productivity of software development teams, and organization.