ICSME 2025
Sun 7 - Fri 12 September 2025 Auckland, New Zealand

Readiness for the adoption of Automated Software Engineering (ASE) tools and techniques can vary according to the size and maturity of software companies. ASE tools and techniques have been adopted by large or ultra-large software companies. However, little is known about the adoption of ASE tools and techniques in small and medium-sized software enterprises (SSMEs) in emerging countries, and the challenges faced by such companies.

We empirically study the adoption of ASE tools and techniques for software measurement, static code analysis, continuous integration, software testing, and the respective challenges faced by software developers in Thailand, a developing country with a growing software economy that mainly consists of SSMEs (similar to other developing countries). Based on the answers from 103 Thai participants in an online survey, we found that Thai software developers are somewhat familiar with ASE tools and agree that adopting such tools would be beneficial. Most of the developers do not use software measurement or static code analysis tools due to a lack of knowledge or experience, but agree that their use would be useful. Continuous integration tools have been used with some difficulties. Lastly, although automated testing tools are adopted despite several serious challenges, many developers are still testing the software manually.

We call for improvements in ASE tools to be easier to use in order to lower the barrier to adoption in small and medium-sized software enterprises in developing countries.

Thu 11 Sep

Displayed time zone: Auckland, Wellington change

15:30 - 17:00
Session 11 - Human Factors 1Journal First Track / Research Papers Track at Case Room 3 260-055
Chair(s): Gregorio Robles Universidad Rey Juan Carlos, Alexander Serebrenik Eindhoven University of Technology
15:30
15m
Characterizing the System Evolution That is Proposed After a Software Incident
Research Papers Track
Matt Pope Brigham Young University, Jonathan Sillito Brigham Young University
15:45
15m
Social Media Reactions to Open Source Promotions: AI-Powered GitHub Projects on Hacker News
Research Papers Track
Prachnachai Meakpaiboonwattana Mahidol University, Warittha Tarntong Mahidol University, Thai Mekratanavorakul Mahidol University, Chaiyong Rakhitwetsagul Mahidol University, Thailand, Pattaraporn Sangaroonsilp Mahidol University, Raula Gaikovina Kula The University of Osaka, Morakot Choetkiertikul Mahidol University, Thailand, Kenichi Matsumoto Nara Institute of Science and Technology, Thanwadee Sunetnanta Mahidol University
16:00
15m
Does Editing Improve Answer Quality on Stack Overflow? A Data-Driven Investigation
Research Papers Track
Saikat Mondal University of Saskatchewan, Chanchal K. Roy University of Saskatchewan
Pre-print
16:15
15m
Accessibility Rank: A Machine Learning Approach for Prioritizing Accessibility User Feedback
Journal First Track
Xiaoqi Chai Beihang University (Work conducted at The University of Auckland), James Tizard University of Auckland, Kelly Blincoe University of Auckland
16:30
15m
Don't Settle for the First! How Many GitHub Copilot Solutions Should You Check?
Journal First Track
Julian Oertel University of Rostock, Jil Klünder University of Applied Sciences | FHDW Hannover, Regina Hebig Universität Rostock, Rostock, Germany
16:45
15m
Adoption of Automated Software Engineering Tools and Techniques in Thailand
Journal First Track
Chaiyong Rakhitwetsagul Mahidol University, Thailand, Jens Krinke University College London, Morakot Choetkiertikul Mahidol University, Thailand, Thanwadee Sunetnanta Mahidol University, Federica Sarro University College London