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

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arxiv 2505.03624 v1 pith:W4PS3QDE submitted 2025-05-06 cs.SE

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

classification cs.SE
keywords analysisarchitecturesoftwareimradtradeoffarchitecturalarchitecturesmethodology
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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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Cited by 1 Pith paper

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  1. Architecture-Derived CBOMs for Cryptographic Migration: A Security-Aware Architecture Tradeoff Method

    cs.CR 2026-03 conditional novelty 5.0

    SATAM adapts scenario-based architecture evaluation to produce CBOMs with security intent, architectural traceability, and migration-risk annotations.