Self-adaptation of software using automatically generated control-theoretical solutions
(2019) p.35-55- Abstract
Control theory has contributed a set of foundational techniques to handle "change" at runtime in software applications. These techniques however have fundamental limitations as well: (i) they require the development and understanding of mathematical models; (ii) synthesizing solutions is often done on a per-problem basis, discouraging flexibility and generality. Software engineering, as a discipline, has always aimed at finding reusable and modular solutions. The combination of the desire to apply formally grounded control-theoretical principles and reuse existing solutions has motivated research on the topic of automatically generated control solutions. This research aims at designing control strategies in an automated way from data... (More)
Control theory has contributed a set of foundational techniques to handle "change" at runtime in software applications. These techniques however have fundamental limitations as well: (i) they require the development and understanding of mathematical models; (ii) synthesizing solutions is often done on a per-problem basis, discouraging flexibility and generality. Software engineering, as a discipline, has always aimed at finding reusable and modular solutions. The combination of the desire to apply formally grounded control-theoretical principles and reuse existing solutions has motivated research on the topic of automatically generated control solutions. This research aims at designing control strategies in an automated way from data that qualifies the given problem at hand. This chapter provides an overview of the research topic of automatically generated control-theoretical solutions, explaining the key research contributions and paving the way for future research.
(Less)
- author
- Shevtsov, Stepan ; Weyns, Danny and Maggio, Martina LU
- organization
- publishing date
- 2019
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Engineering adaptive software systems : Communications of nii shonan meetings - Communications of nii shonan meetings
- pages
- 35 - 55
- publisher
- Springer
- external identifiers
-
- scopus:85078198507
- ISBN
- 9789811321856
- 9789811321849
- DOI
- 10.1007/978-981-13-2185-6_2
- language
- English
- LU publication?
- yes
- id
- 22f46347-aeb8-4200-93f3-e7d5c64e464d
- date added to LUP
- 2020-02-03 15:31:08
- date last changed
- 2024-07-24 12:45:08
@inbook{22f46347-aeb8-4200-93f3-e7d5c64e464d,
abstract = {{<p>Control theory has contributed a set of foundational techniques to handle "change" at runtime in software applications. These techniques however have fundamental limitations as well: (i) they require the development and understanding of mathematical models; (ii) synthesizing solutions is often done on a per-problem basis, discouraging flexibility and generality. Software engineering, as a discipline, has always aimed at finding reusable and modular solutions. The combination of the desire to apply formally grounded control-theoretical principles and reuse existing solutions has motivated research on the topic of automatically generated control solutions. This research aims at designing control strategies in an automated way from data that qualifies the given problem at hand. This chapter provides an overview of the research topic of automatically generated control-theoretical solutions, explaining the key research contributions and paving the way for future research.</p>}},
author = {{Shevtsov, Stepan and Weyns, Danny and Maggio, Martina}},
booktitle = {{Engineering adaptive software systems : Communications of nii shonan meetings}},
isbn = {{9789811321856}},
language = {{eng}},
pages = {{35--55}},
publisher = {{Springer}},
title = {{Self-adaptation of software using automatically generated control-theoretical solutions}},
url = {{http://dx.doi.org/10.1007/978-981-13-2185-6_2}},
doi = {{10.1007/978-981-13-2185-6_2}},
year = {{2019}},
}