Towards LowDevSecOps Framework for Low-Code Development: Integrating Process-Oriented Recommendations for Security Risk Management

Gayane Sedrakyan, Maria Eugenia Iacob, Jos Hillegersberg

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

The increasing demand for software solutions in the coming years will surpass the availability of IT talent, driving interest in citizen development and low-code approaches. However, the lack of technical insight among citizen developers poses potential security risks. This research aims to support businesses adopting citizen development by providing a framework that helps to proactively identify security risks by also linking them to specific actors and tools needed during the system design and development process to mitigate those risks. Additionally, this framework helps to address knowledge gaps by outlining actionable steps to ensure secure low-code development practices. The research aims to answer the question: "How can contextual information be modeled in low-code platforms to proactively identify and address security-related issues, acting as a virtual mentor for citizen / low-code developers?". To answer this question, our research conceptualizes security risks from established frameworks and operational security methodologies into a practical framework that allows mapping security risks to the context of low-code development. This framework serves as a foundational platform for designing and integrating active process-oriented guidance within low-code platforms using model-based automated prompts. This approach additionally aligns with DevSecOps principles that allows enhancing the capacity for low-code approach and citizen development in areas that currently may include manual coding and integrations.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationMODELS 2024 - ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
PublisherAssociation for Computing Machinery
Pages886-894
Number of pages9
ISBN (Electronic)9798400706226
DOIs
Publication statusPublished - 31 Oct 2024
Event27th International Conference on Model Driven Engineering Languages and Systems, MODELS 2024 - Linz, Austria
Duration: 22 Sept 202427 Sept 2024
Conference number: 27

Conference

Conference27th International Conference on Model Driven Engineering Languages and Systems, MODELS 2024
Abbreviated titleMODELS 2024
Country/TerritoryAustria
CityLinz
Period22/09/2427/09/24

Keywords

  • 2025 OA procedure
  • DevSecOps
  • Low Code Development
  • Modeling
  • Recommenders
  • Security
  • DevOps

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