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"Your AI is impressive, but my code does not have any bugs" managing false positives in industrial contexts.

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Title: "Your AI is impressive, but my code does not have any bugs" managing false positives in industrial contexts.
Authors: Stradowski, Szymon1,2 (AUTHOR) Szymon.stradowski@pwr.edu.pl, Madeyski, Lech2 (AUTHOR)
Source: Science of Computer Programming. Dec2025, Vol. 246, pN.PAG-N.PAG. 1p.
Subjects: Computer software developers, Machine learning, Machinery industry, Artificial intelligence, 5G networks
Abstract: "Your AI is impressive, but my code does not contain any bugs"— such a statement from a software developer is the antithesis of a quality mindset and open communication. What makes it worse is that it is oftentimes true. This paper analyses false positives' impact and related challenges in machine learning software defect prediction and describes the mitigation possibilities. We propose a broad-picture perspective on dealing with false positive predictions based on what we learned from our industrial implementation study in Nokia 5G. Accordingly, we draw a new direction in transitioning defect prediction into a well-established industry practice, as well as highlight potential emerging topics in predictive software engineering. Increasing human buy-in and the business impact of predictions significantly improves the chances of future software defect prediction industry adoptions to succeed. [ABSTRACT FROM AUTHOR]
Copyright of Science of Computer Programming is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 185747046
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: "Your AI is impressive, but my code does not contain any bugs"— such a statement from a software developer is the antithesis of a quality mindset and open communication. What makes it worse is that it is oftentimes true. This paper analyses false positives' impact and related challenges in machine learning software defect prediction and describes the mitigation possibilities. We propose a broad-picture perspective on dealing with false positive predictions based on what we learned from our industrial implementation study in Nokia 5G. Accordingly, we draw a new direction in transitioning defect prediction into a well-established industry practice, as well as highlight potential emerging topics in predictive software engineering. Increasing human buy-in and the business impact of predictions significantly improves the chances of future software defect prediction industry adoptions to succeed. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Science of Computer Programming is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=185747046
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      – Type: doi
        Value: 10.1016/j.scico.2025.103320
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      – Code: eng
        Text: English
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      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Machinery industry
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: 5G networks
        Type: general
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      – TitleFull: "Your AI is impressive, but my code does not have any bugs" managing false positives in industrial contexts.
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              M: 12
              Text: Dec2025
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              Y: 2025
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              Value: 246
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