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Adoption of Automated Software Engineering Tools and Techniques in Thailand

Ragkhitwetsagul, Chaiyong; Krinke, Jens; Choetkiertikul, Morakot; Sunetnanta, Thanwadee; Sarro, Federica; (2024) Adoption of Automated Software Engineering Tools and Techniques in Thailand. Empirical Software Engineering , 29 , Article 90. 10.1007/s10664-024-10472-6.

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Abstract

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 study the adoption of ASE tools and techniques for software measurement, static code analysis, continuous integration, and software testing, and the respective challenges faced by software developers in Thailand, a developing country with a growing software economy which 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 (SSMEs) in developing countries.

Type: Article
Title: Adoption of Automated Software Engineering Tools and Techniques in Thailand
DOI: 10.1007/s10664-024-10472-6
Publisher version: https://doi.org/10.1007/s10664-024-10472-6
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: Automated software engineering, Empirical study, Online survey, Small and medium-sized software enterprises
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10188582
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