Introduction:
Professor Farn Wang obtained his Ph.D. degree from the Computer Sciences Department, University of Texas at Austin, USA. He obtained a BS. degree from National Taiwan University, Taiwan and a MS. degree from National Chiao-Tung University, Taiwan. He is interested at model-checking and software testing technology. He was the Steering Committee chair of International Symposium on Automated Technology for Verification and Analysis (ATVA) from 2003 to 2022 and an Advisory Committee member of ATVA from 2022. He was also an Associate Editor of the journal of Formal Method in System Design (FMSD), Speringer from 2013 to 2021.
As AI is Competing for Programmers’ Jobs, What Shall We Programmers Do? From A Software Testing Researcher's Peerspective
Abstract
KOL are warning that programmers’ job opportunities will be eliminated by AI.
More and more development teams prompt AI for program templates.
In this trend, although less and less programmers will be needed, job opportunities for requirement engineers and program QA engineers will become stronger than ever.
In this speech, we discuss how software test teams may adapt to and benefit from the huge opportunity of AI technology.
Finally, we present a new product concept and a business model for software testing service in the AI era.
