Academic Journal
Artificial Intelligence as a Co-Creator in Software Development.
| Τίτλος: | Artificial Intelligence as a Co-Creator in Software Development. |
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| Συγγραφείς: | ARSENE, Sabin-Marian1 arsenesabin21@stud.ase.ro |
| Πηγή: | Informatica Economica. Jun2026, Vol. 39 Issue 2, p60-70. 11p. |
| Θεματικοί όροι: | *Artificial intelligence, *Computer software development, *Defect tracking (Computer software development), *Computer programmers, *Software engineering, Language models, Prediction models |
| Περίληψη: | This paper explores the paradigm shift in software engineering by positioning Artificial Intelligence (AI) as an active co-creator within the Software Development Life Cycle (SDLC). While traditional AI tools function as passive assistants, the proposed framework integrates large language models and predictive analytics to foster a collaborative environment between human developers and machine intelligence. Through a Retrieval-Augmented Generation (RAG) approach, the study evaluates improvements in requirements analysis, code generation, and proactive defect detection. Experimental simulations indicate a 57% reduction in lead time and a 37% decrease in defect density, highlighting significant productivity gains. However, the research also identifies the "Reviewer's Paradox," where the cognitive load shifts toward verification and architectural oversight. The findings suggest that AI-human co-creation not only optimizes resource allocation but also necessitates a fundamental redefinition of developer roles in the era of AI-native software engineering. [ABSTRACT FROM AUTHOR] |
| Copyright of Informatica Economica is the property of Informatica Economica 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.) | |
| Βάση Δεδομένων: | Business Source Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:bsx&genre=article&issn=14531305&ISBN=&volume=39&issue=2&date=20260601&spage=60&pages=60-70&title=Informatica Economica&atitle=Artificial%20Intelligence%20as%20a%20Co-Creator%20in%20Software%20Development.&aulast=ARSENE%2C%20Sabin-Marian&id=DOI:10.24818/issn14531305/30.2.2026.05 Name: Full Text Finder (for New FTF UI) (ns324271) Category: fullText Text: Full Text Finder MouseOverText: Full Text Finder |
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| Items | – Name: Title Label: Title Group: Ti Data: Artificial Intelligence as a Co-Creator in Software Development. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22ARSENE%2C+Sabin-Marian%22">ARSENE, Sabin-Marian</searchLink><relatesTo>1</relatesTo><i> arsenesabin21@stud.ase.ro</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Informatica+Economica%22">Informatica Economica</searchLink>. Jun2026, Vol. 39 Issue 2, p60-70. 11p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+software+development%22">Computer software development</searchLink><br />*<searchLink fieldCode="DE" term="%22Defect+tracking+%28Computer+software+development%29%22">Defect tracking (Computer software development)</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+programmers%22">Computer programmers</searchLink><br />*<searchLink fieldCode="DE" term="%22Software+engineering%22">Software engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Language+models%22">Language models</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper explores the paradigm shift in software engineering by positioning Artificial Intelligence (AI) as an active co-creator within the Software Development Life Cycle (SDLC). While traditional AI tools function as passive assistants, the proposed framework integrates large language models and predictive analytics to foster a collaborative environment between human developers and machine intelligence. Through a Retrieval-Augmented Generation (RAG) approach, the study evaluates improvements in requirements analysis, code generation, and proactive defect detection. Experimental simulations indicate a 57% reduction in lead time and a 37% decrease in defect density, highlighting significant productivity gains. However, the research also identifies the "Reviewer's Paradox," where the cognitive load shifts toward verification and architectural oversight. The findings suggest that AI-human co-creation not only optimizes resource allocation but also necessitates a fundamental redefinition of developer roles in the era of AI-native software engineering. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Informatica Economica is the property of Informatica Economica 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.24818/issn14531305/30.2.2026.05 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 60 Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: Computer software development Type: general – SubjectFull: Defect tracking (Computer software development) Type: general – SubjectFull: Computer programmers Type: general – SubjectFull: Software engineering Type: general – SubjectFull: Language models Type: general – SubjectFull: Prediction models Type: general Titles: – TitleFull: Artificial Intelligence as a Co-Creator in Software Development. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: ARSENE, Sabin-Marian IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 14531305 Numbering: – Type: volume Value: 39 – Type: issue Value: 2 Titles: – TitleFull: Informatica Economica Type: main |
| ResultId | 1 |