He is a lecturer in the School of Computer Science, the University of Adelaide (one of the top 125 QS World Universities Ranking, and a Go8 Australian leading university). He pioneered research on the pitfalls of software analytics modelling in order to provide avoidance strategies. His research has been published at top-tier software engineering venues, such as IEEE Transactions on Software Engineering (TSE), Empirical Software Engineering (EMSE), and the International Conference on Software Engineering (ICSE). During his Ph.D. study, he won one of the most prestigious and selective sources of national funding in Japan, i.e., a JSPS Research Fellowship for Young Researchers and a Grants-in-Aid for JSPS Fellow, and won a "Best Ph.D. Student Award".

Interests: Empirical Software Engineering, Software Quality Assurance, Data Analytics, Mining Software Repository

Address: Level 4, Room 47, School of Computer Science, the University of Adelaide, SA, Australia.
Email: chakkrit.tantithamthavorn@adelaide.edu.au
Phone: +61-8-8313-3516

October 15, 2018
My paper on The Impact of Class Rebalancing Techniques on the Performance and Interpretation of Defect Prediction Models has been accepted at IEEE Transactions on Software Engineering (TSE)!
October 08, 2018
According to Google Scholar, my work on automated parameter optimization for defect prediction models is the 3rd highly-cited ICSE 2016 paper.
September 26, 2018
I was invited to be a member of the Open Science Board of Empirical Software Engineering Journal (ERA A).
September 11, 2018
I was invited to be a program committee of the ROSE (Recognizing and Rewarding Open Science in Software Engineering) for ESEC/FSE 2018.
August 27, 2018
I was invited to be a journal referee for Journal of Software Testing, Verification and Reliability (STVR) (Impact Factor: 1.556).
July 30, 2018
I was invited to be a program committee member for the Early Research Achievements (ERA) Track of the International Conference on Software Analysis, Evolution, and Reengineering (SANER 2019).
July 08, 2018
I was invited to give a seminar talk at the University of Wollongong, hosted by Dr. Hoa Dam during 8-15 July 2018.
July 03, 2018
I was invited to give a seminar talk at the University of Melbourne.
June 08, 2018
I was invited to be a journal referee for Journal of Software: Evolution and Process (Impact Factor: 1.033).
June 06, 2018
Super congrats to Jirayus Jiarpakdee (my first Ph.D. student) on his first accepted paper titled "AutoSpearman: Automatically Mitigating Correlated Software Metrics for Interpreting Defect Models" has been accepted at the the 34rd IEEE International Conference on Software Maintenance and Evolution (ICSME 2018) with an acceptance rate of 26% (37+8/174).
See more...

Today software development process depends on a variety of development tools (e.g., issue tracking systems, version control systems, code review, continuous integration, continuous deployment, Q&A website). For example, Github—the largest hosting service of source code in the world—currently hosts over 35 millions software repositories, while the last million repositories were generated within 2 months. Millions of software projects also generate large quantities of unstructured software artifacts at a high frequency (so-called Big Data) in many forms, like issue reports, source code, test cases, code reviews, execution logs, app reviews, developer mailing lists, and discussion threads.

Software analytics is a field that focuses on uncovering interesting and actionable knowledge from the unprecedented amount of data in such repositories in order to improve software development, maintenance, evolution, productivity, quality, and user experience. Indeed, many software organizations are eager to be empowered to make data-driven engineering decisions, rather than relying on gut feeling. Also, they use it to identify new opportunities, leading to smarter business moves, more efficient operations, higher profits and happier customers. For example, Microsoft’s data scientists uncover frequently-used commands of Microsoft Windows, which led to an important re-design of user interfaces. Therefore, such insights give the ability to software companies to work faster – and stay agile – give software organizations a competitive edge they didn't have before.