Academic Journal
Application Generators in Enterprise Front-End Platforms: Architectural Principles, Governance Patterns, and Sustainable Delivery.
| Τίτλος: | Application Generators in Enterprise Front-End Platforms: Architectural Principles, Governance Patterns, and Sustainable Delivery. |
|---|---|
| Συγγραφείς: | Chennuru, Anilraj |
| Πηγή: | International Journal of Computer Information Systems & Industrial Management Applications; 2026 Supplement, Vol. 18, p322-335, 14p |
| Θεματικοί όροι: | Program generators (Computer programs), Computer software development, Software engineering, Artificial intelligence, Software frameworks |
| Περίληψη: | Enterprise front-end development at scale is characterized by a persistent tension between the need for organizational consistency and the demand for product-team autonomy. Left unresolved, this tension produces fragmented codebases, duplicated infrastructure decisions, inconsistent security postures, and compounding onboarding costs. Application generators address this problem by encoding architectural standards, security defaults, and delivery contracts directly into the project creation process. Rather than relying on documentation and developer discipline to propagate platform conventions, generators make correct behavior the automatic outcome of project initialization. This article examines application generators as first-class platform infrastructure across their full operational lifecycle. The scope covers scaffold design and baseline contract definition, governance and security enforcement through generated defaults, extensibility architecture that preserves product-team autonomy without sacrificing platform coherence, pipeline and observability integration, developer experience as a technical requirement, shared asset distribution, and the governance models required to prevent generator sprawl. The article further addresses the implications of AI-assisted development for generator design, arguing that embedded static analysis and dependency governance become especially critical as AI-generated code enters enterprise codebases at an increasing rate. The article establishes that generator value is not realized at project creation alone. It builds up over time through consistent delivery pipelines, less time spent on compliance remediation, faster onboarding, and measuring at the portfolio level. Sustaining that value requires treating the generator as a versioned, owned, and actively maintained platform product, governed by the same rigor applied to the applications it produces. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Computer Information Systems & Industrial Management Applications is the property of Cerebration Science Publishing Co., Limited 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: | Complementary Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edb DbLabel: Complementary Index An: 196863140 RelevancyScore: 1041 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1041.06665039063 |
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| Items | – Name: Title Label: Title Group: Ti Data: Application Generators in Enterprise Front-End Platforms: Architectural Principles, Governance Patterns, and Sustainable Delivery. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chennuru%2C+Anilraj%22">Chennuru, Anilraj</searchLink> – Name: TitleSource Label: Source Group: Src Data: International Journal of Computer Information Systems & Industrial Management Applications; 2026 Supplement, Vol. 18, p322-335, 14p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Program+generators+%28Computer+programs%29%22">Program generators (Computer programs)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+development%22">Computer software development</searchLink><br /><searchLink fieldCode="DE" term="%22Software+engineering%22">Software engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Software+frameworks%22">Software frameworks</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Enterprise front-end development at scale is characterized by a persistent tension between the need for organizational consistency and the demand for product-team autonomy. Left unresolved, this tension produces fragmented codebases, duplicated infrastructure decisions, inconsistent security postures, and compounding onboarding costs. Application generators address this problem by encoding architectural standards, security defaults, and delivery contracts directly into the project creation process. Rather than relying on documentation and developer discipline to propagate platform conventions, generators make correct behavior the automatic outcome of project initialization. This article examines application generators as first-class platform infrastructure across their full operational lifecycle. The scope covers scaffold design and baseline contract definition, governance and security enforcement through generated defaults, extensibility architecture that preserves product-team autonomy without sacrificing platform coherence, pipeline and observability integration, developer experience as a technical requirement, shared asset distribution, and the governance models required to prevent generator sprawl. The article further addresses the implications of AI-assisted development for generator design, arguing that embedded static analysis and dependency governance become especially critical as AI-generated code enters enterprise codebases at an increasing rate. The article establishes that generator value is not realized at project creation alone. It builds up over time through consistent delivery pipelines, less time spent on compliance remediation, faster onboarding, and measuring at the portfolio level. Sustaining that value requires treating the generator as a versioned, owned, and actively maintained platform product, governed by the same rigor applied to the applications it produces. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of International Journal of Computer Information Systems & Industrial Management Applications is the property of Cerebration Science Publishing Co., Limited 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: 10.70917/ijcisim-2026-4741 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 322 Subjects: – SubjectFull: Program generators (Computer programs) Type: general – SubjectFull: Computer software development Type: general – SubjectFull: Software engineering Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Software frameworks Type: general Titles: – TitleFull: Application Generators in Enterprise Front-End Platforms: Architectural Principles, Governance Patterns, and Sustainable Delivery. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chennuru, Anilraj IsPartOfRelationships: – BibEntity: Dates: – D: 18 M: 01 Text: 2026 Supplement Type: published Y: 2026 Identifiers: – Type: issn-print Value: 21507988 Numbering: – Type: volume Value: 18 Titles: – TitleFull: International Journal of Computer Information Systems & Industrial Management Applications Type: main |
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