20122013
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Personal profile

Biography

He is a lecturer (a.k.a. Assistant Professor) in Faculty of Information Technology, Monash University. My current research focuses on AI-Driven Software Quality Assurance in the Age of DevOps. Prior to that, he was a lecturer at the University of Adelaide, a research fellow at Queen's University, a JSPS fellow at Nara Institute of Science and Technology. 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".

Research interests

With the rise of software systems ranging from personal assistance to the nation's facilities, software defects become more critical concerns as they can cost millions of dollar as well as impact human lives. Yet, at the breakneck pace of rapid software development settings (like DevOps paradigm), the Quality Assurance (QA) practices nowadays are still time-consuming. Continuous Analytics for Software Quality (i.e., defect prediction models) can help development teams prioritize their QA resources and chart better quality improvement plan to avoid pitfalls in the past that lead to future software defects. Due to the need of specialists to design and configure a large number of configurations (e.g., data quality, data preprocessing, classification techniques, interpretation techniques), a set of practical guidelines for developing accurate and interpretable defect models has not been well-developed. 

The ultimate goal of my research aims to (1) provide practical guidelines on how to develop accurate and interpretable defect models for non-specialists; (2) develop an intelligible defect model that offer suggestions how to improve both software quality and processes; and (3) integrate defect models into a real-world practice of rapid development cycles like CI/CD settings. My research project is expected to provide significant benefits including the reduction of software defects and operating costs, while accelerating development productivity for building software systems in many of Australia's critical domains such as Smart Cities and e-Health.

Supervision interests

I'm available to supervise Honours/Master/PhD students. Please feel free to contact me if you are interested.

Keywords

  • Software Engineering
  • Empirical Software Engineering
  • Software Quality Assurance
  • Machine Learning
  • Statistical and Data Analysis
  • Deep Learning for Cyber Security
  • Artificial intelligence

Research Output 2012 2013

  • 3 Conference Paper

Mining A change history to quickly identify bug locations: A case study of the Eclipse project

Tantithamthavorn, C., Teekavanich, R., Ihara, A. & Matsumoto, K. I., 1 Dec 2013, 2013 IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2013. p. 108-113 6 p. 6688888

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Using co-change histories to improve bug localization performance

Tantithamthavorn, C., Ihara, A. & Matsumoto, K. I., 28 Oct 2013, SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. p. 543-548 6 p. 6598517

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Knowledge discovery in web traffic log: A case study of facebook usage in Kasetsart University

Tantithamthavorn, C. & Rungsawang, A., 24 Sep 2012, JCSSE 2012 - 9th International Joint Conference on Computer Science and Software Engineering. p. 247-252 6 p. 6261960

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Prizes

JSPS Research Fellowship

Chakkrit Tantithamthavorn (Recipient), 1 Apr 2014

Prize: Competitive Fellowships