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dc.date.accessioned | 2023-04-18T15:41:53Z | |
dc.date.available | 2023-04-18T15:41:53Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | http://sedici.unlp.edu.ar/handle/10915/151649 | |
dc.description.abstract | 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 | en |
dc.format.extent | 74-74 | es |
dc.language | en | es |
dc.subject | Architecture optimization | es |
dc.subject | Tactics | es |
dc.subject | Explainability | es |
dc.subject | Toolsupport | es |
dc.subject | User study | es |
dc.title | Making architecture optimization transparent with tactic-based explanations | en |
dc.type | Objeto de conferencia | es |
sedici.identifier.uri | https://publicaciones.sadio.org.ar/index.php/JAIIO/article/download/306/255 | es |
sedici.identifier.issn | 2451-7496 | es |
sedici.creator.person | Díaz Pace, Jorge Andrés | es |
sedici.creator.person | Garlan, David | es |
sedici.subject.materias | Ciencias Informáticas | es |
sedici.description.fulltext | true | es |
mods.originInfo.place | Sociedad Argentina de Informática e Investigación Operativa | es |
sedici.subtype | Resumen | es |
sedici.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | |
sedici.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
sedici.date.exposure | 2022-10 | |
sedici.relation.event | Simposio Argentino de Ingeniería de Software (ASSE 2022) - JAIIO 51 (Modalidad virtual y presencial (UAI), octubre 2022) | es |
sedici.description.peerReview | peer-review | es |