eprintid: 3064
rev_number: 11
eprint_status: archive
userid: 69
dir: disk0/00/00/30/64
datestamp: 2016-02-12 13:04:06
lastmod: 2016-04-06 07:58:07
status_changed: 2016-02-12 13:04:06
type: book_section
metadata_visibility: show
creators_name: Bruni, Roberto
creators_name: Corradini, Andrea
creators_name: Gadducci, Fabio
creators_name: Hölzl, Matthias
creators_name: Lluch Lafuente, Alberto
creators_name: Vandin, Andrea
creators_name: Wirsing, Martin
creators_id: 
creators_id: 
creators_id: 
creators_id: 
creators_id: 
creators_id: andrea.vandin@imtlucca.it
creators_id: 
title: Reconciling White-Box and Black-Box Perspectives on Behavioral Self-adaptation
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: none
keywords: Autonomic Computing; Behavioral Adaptation; Requirements Engineering; Software Engineering; Linear-time Properties; Games
abstract: This paper proposes to reconcile two perspectives on behavioral adaptation commonly taken at different stages of the engineering of autonomic computing systems. Requirements engineering activities often take a black-box perspective: A system is considered to be adaptive with respect to an environment whenever the system is able to satisfy its goals irrespectively of the environment perturbations. Modeling and programming engineering activities often take a white-box perspective: A system is equipped with suitable adaptation mechanisms and its behavior is classified as adaptive depending on whether the adaptation mechanisms are enacted or not. The proposed approach reconciles black- and white-box perspectives by proposing several notions of coherence between the adaptivity as observed by the two perspectives: These notions provide useful criteria for the system developer to assess and possibly modify the adaptation requirements, models and programs of an autonomic system.
date: 2015
date_type: published
series: Lecture Notes in Computer Science
number: 8998
publisher: Springer
pagerange: 163-184
pages: 21
id_number: 10.1007/978-3-319-16310-9_4
refereed: TRUE
isbn: 978-3-319-16309-3
book_title: Software Engineering for Collective Autonomic Systems. The ASCENS Approach
official_url: http://link.springer.com/chapter/10.1007%2F978-3-319-16310-9_4
projects: IP 257414 ASCENS
projects: PRIN 2010LHT4KM CINA
citation:   Bruni, Roberto and Corradini, Andrea and Gadducci, Fabio and Hölzl, Matthias and Lluch Lafuente, Alberto and Vandin, Andrea and Wirsing, Martin  Reconciling White-Box and Black-Box Perspectives on Behavioral Self-adaptation.   In:  Software Engineering for Collective Autonomic Systems. The ASCENS Approach.   Lecture Notes in Computer Science  (8998).  Springer, pp. 163-184.  ISBN 978-3-319-16309-3      (2015)