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arxiv:2505.03624

ATRAF-driven IMRaD Methodology: Tradeoff and Risk Analysis of Software Architectures Across Abstraction Levels

Published on May 6

Abstract

The ATRAF-driven IMRaD Methodology aligns architectural evaluation phases with academic research sections, enhancing transparency and accessibility.

AI-generated summary

Software architecture research relies on key architectural artifacts -- Software Architectures, Reference Architectures, and Architectural Frameworks -- that underpin the design and analysis of complex systems. Evaluating these artifacts is essential to assess tradeoffs and risks affecting quality attributes such as performance, modifiability, and security. Although methodologies like the Architecture Tradeoff Analysis Method (ATAM) support software architecture evaluation, their industrial focus misaligns with the IMRaD (Introduction, Methods, Results, Discussion) format prevalent in academic research, impeding transparency and reproducibility. Our prior work introduced the Architecture Tradeoff and Risk Analysis Framework (ATRAF), extending ATAM through three methods -- ATRAM, RATRAM, and AFTRAM, addressing all abstraction levels, using a unified, iterative four-phase spiral model. These phases -- Scenario and Requirements Gathering, Architectural Views and Scenario Realization, Attribute-Specific Analyses, and Sensitivity, Tradeoff, and Risk Analysis -- ensure traceability and coherence. This paper presents the ATRAF-driven IMRaD Methodology, a concise method to align ATRAF's phases with IMRaD sections. This methodology enhances the rigor, transparency, and accessibility of software architecture research, enabling systematic reporting of complex evaluations.

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Paper author

The ATRAF-driven IMRaD Methodology was used to structure the presentation of the methods for developing and evaluating the LLM-based Agent Unified Modeling Framework (LLM-Agent-UMF). This work is detailed in a research paper published in Information Fusion, a top-4 journal worldwide in Artificial Intelligence and top-3 in Theory and Methods, available on ScienceDirect. A preprint is available on arXiv.

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