Making Architecture Optimization Transparent with Tactic-Based Explanations

  • J. Andres Diaz-Pace ISISTAN Research Institute, CONICET and UNICEN University
  • David Garlan School of Computer Science, Carnegie Mellon University Pittsburgh
Palabras clave: architecture optimization, tactics, explainability, toolsupport, user study

Resumen

Over the past decade, a number of automated techniques and tools have been developed for optimizing architectural designs with respect to quality-attribute goals. In these systems, the optimization process is typically seen as a black box, since it is not possible for a human to have access to the decisions that led to a particular solution generated by an optimization tool. Even when these decisions are available for inspection, the amount of information can be overwhelming for the architect. As a result, humans might not completely understand the rationale behind a given solution or trust that a tool made correct decisions. To mitigate this problem, we propose a semi-automated approach for generating textual explanations for any architectural solution produced by a tool. This kind of explanation provides a summary of the key architectural tactics that were applied to achieve an optimized architecture that satisfies a set of quality-attribute objectives. In this paper, we discuss two procedures for determining the key tactics to be explained. As an initial experiment, we used a popular optimization tool to generate solutions and explanations for a small but non-trivial design space involving performance, reliability, and cost objectives. We also performed an exploratory user study to assess the e↵ectiveness of these explanation

Publicado
2022-12-15
Cómo citar
Diaz-Pace, J. A., & Garlan, D. (2022). Making Architecture Optimization Transparent with Tactic-Based Explanations. Memorias De Las JAIIO, 8(3), 74-74. Recuperado a partir de https://publicaciones.sadio.org.ar/index.php/JAIIO/article/view/306
Sección
ASSE - Argentine Symposium on Software Engineering