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AI-Powered Software Testing Tools: Full Autonomy Remains a Distant Goal

descriptionPublicationkeyboard_double_arrow_right Article 01 Jul 2025 United Kingdom Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Software, volume 42, pages 98-111 (issn: 0740-7459, eissn: 1937-4194, Copyright policy )Funded by:EC | HIVEMIND
Authors: Garousi, Vahid; Joy, Nithin; Taibi, Davide;

doi: 10.1109/ms.2025.3557895

AI-Powered Software Testing Tools: Full Autonomy Remains a Distant Goal

Abstract

As the new Tools column editor, Im excited to kick off this role by exploring one of the most rapidly evolving areas in software engineering: AI-powered testing tools. These tools promise to transform the way we approach test automation by improving efficiency, reducing the maintenance effort of test code, and enhancing defect detection.

Country
United Kingdom
Related Organizations
Keywords

generative AI, systematic tool review, artificial intelligence, /dk/atira/pure/subjectarea/asjc/1700/1712; name=Software, Software testing

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Top 10%
Top 10%
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