🤖 AI Summary
This paper addresses the misalignment between industrial practice (ATRAF framework) and academic conventions (IMRaD format) in software architecture evaluation research. We propose a systematic alignment method that maps ATRAF’s four-phase spiral model onto the IMRaD structure, enabling bidirectional traceability between evaluation processes and scholarly writing norms. Our approach introduces a unified, iterative workflow spanning all abstraction levels—integrating scenario-driven view modeling, multi-attribute sensitivity analysis (e.g., performance, modifiability, security), and quantitative risk assessment. This enhances rigor, transparency, and reproducibility of architecture evaluation studies. Empirical validation across multiple academic case studies demonstrates the method’s expressive power and practical utility, effectively bridging the gap between industrial evaluation practices and scholarly reporting standards.
📝 Abstract
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.