Making architecture optimization transparent with tactic-based explanations

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 d...

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Detalles Bibliográficos
Autores principales:	Díaz Pace, Jorge Andrés, Garlan, David
Formato:	Objeto de conferencia Resumen
Lenguaje:	Inglés
Publicado:	2022
Materias:	Ciencias Informáticas Architecture optimization Tactics Explainability Toolsupport User study
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/151649 https://publicaciones.sadio.org.ar/index.php/JAIIO/article/download/306/255
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

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spelling	I19-R120-10915-1516492023-05-03T20:04:19Z http://sedici.unlp.edu.ar/handle/10915/151649 https://publicaciones.sadio.org.ar/index.php/JAIIO/article/download/306/255 issn:2451-7496 Making architecture optimization transparent with tactic-based explanations Díaz Pace, Jorge Andrés Garlan, David 2022-10 2022 2023-04-18T15:41:53Z en Ciencias Informáticas Architecture optimization Tactics Explainability Toolsupport User study 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 effectiveness of these explanation Sociedad Argentina de Informática e Investigación Operativa Objeto de conferencia Resumen http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 74-74
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Architecture optimization Tactics Explainability Toolsupport User study
spellingShingle	Ciencias Informáticas Architecture optimization Tactics Explainability Toolsupport User study Díaz Pace, Jorge Andrés Garlan, David Making architecture optimization transparent with tactic-based explanations
topic_facet	Ciencias Informáticas Architecture optimization Tactics Explainability Toolsupport User study
description	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 effectiveness of these explanation
format	Objeto de conferencia Resumen
author	Díaz Pace, Jorge Andrés Garlan, David
author_facet	Díaz Pace, Jorge Andrés Garlan, David
author_sort	Díaz Pace, Jorge Andrés
title	Making architecture optimization transparent with tactic-based explanations
title_short	Making architecture optimization transparent with tactic-based explanations
title_full	Making architecture optimization transparent with tactic-based explanations
title_fullStr	Making architecture optimization transparent with tactic-based explanations
title_full_unstemmed	Making architecture optimization transparent with tactic-based explanations
title_sort	making architecture optimization transparent with tactic-based explanations
publishDate	2022
url	http://sedici.unlp.edu.ar/handle/10915/151649 https://publicaciones.sadio.org.ar/index.php/JAIIO/article/download/306/255
work_keys_str_mv	AT diazpacejorgeandres makingarchitectureoptimizationtransparentwithtacticbasedexplanations AT garlandavid makingarchitectureoptimizationtransparentwithtacticbasedexplanations
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Making architecture optimization transparent with tactic-based explanations

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