Dynamic adaptive search based software engineering

Mark HARMAN; Edmund BURKE; John A. CLARK; Xin YAO

doi:10.1145/2372251.2372253

Dynamic adaptive search based software engineering

Mark HARMAN, Edmund BURKE, John A. CLARK, Xin YAO

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

62 Citations (Scopus)

Abstract

Search Based Software Engineering (SBSE) has proved to be a very effective way of optimising software engineering problems. Nevertheless, its full potential as a means of dynamic adaptivity remains under explored. This paper sets out the agenda for Dynamic Adaptive SBSE, in which the optimisation is embedded into deployed software to create self-optimising adaptive systems. Dynamic Adaptive SBSE will move the research agenda forward to encompass both soft- ware development processes and the software products they produce, addressing the long-standing, and as yet largely unsolved, grand challenge of self-adaptive systems. Copyright 2012 ACM.

Original language	English
Title of host publication	International Symposium on Empirical Software Engineering and Measurement
Pages	1-8
Number of pages	8
DOIs	https://doi.org/10.1145/2372251.2372253
Publication status	Published - 19 Sept 2012
Externally published	Yes

Keywords

Autonomic computing
SBSE
Search based optimization
Self-adaptive systems

Access to Document

10.1145/2372251.2372253

Cite this

@inproceedings{d72b60d5c1ee4932b3be938c3f0e78a1,

title = "Dynamic adaptive search based software engineering",

abstract = "Search Based Software Engineering (SBSE) has proved to be a very effective way of optimising software engineering problems. Nevertheless, its full potential as a means of dynamic adaptivity remains under explored. This paper sets out the agenda for Dynamic Adaptive SBSE, in which the optimisation is embedded into deployed software to create self-optimising adaptive systems. Dynamic Adaptive SBSE will move the research agenda forward to encompass both soft- ware development processes and the software products they produce, addressing the long-standing, and as yet largely unsolved, grand challenge of self-adaptive systems. Copyright 2012 ACM.",

keywords = "Autonomic computing, SBSE, Search based optimization, Self-adaptive systems",

author = "Mark HARMAN and Edmund BURKE and CLARK, {John A.} and Xin YAO",

year = "2012",

month = sep,

day = "19",

doi = "10.1145/2372251.2372253",

language = "English",

pages = "1--8",

booktitle = "International Symposium on Empirical Software Engineering and Measurement",

}

TY - GEN

T1 - Dynamic adaptive search based software engineering

AU - HARMAN, Mark

AU - BURKE, Edmund

AU - CLARK, John A.

AU - YAO, Xin

PY - 2012/9/19

Y1 - 2012/9/19

N2 - Search Based Software Engineering (SBSE) has proved to be a very effective way of optimising software engineering problems. Nevertheless, its full potential as a means of dynamic adaptivity remains under explored. This paper sets out the agenda for Dynamic Adaptive SBSE, in which the optimisation is embedded into deployed software to create self-optimising adaptive systems. Dynamic Adaptive SBSE will move the research agenda forward to encompass both soft- ware development processes and the software products they produce, addressing the long-standing, and as yet largely unsolved, grand challenge of self-adaptive systems. Copyright 2012 ACM.

AB - Search Based Software Engineering (SBSE) has proved to be a very effective way of optimising software engineering problems. Nevertheless, its full potential as a means of dynamic adaptivity remains under explored. This paper sets out the agenda for Dynamic Adaptive SBSE, in which the optimisation is embedded into deployed software to create self-optimising adaptive systems. Dynamic Adaptive SBSE will move the research agenda forward to encompass both soft- ware development processes and the software products they produce, addressing the long-standing, and as yet largely unsolved, grand challenge of self-adaptive systems. Copyright 2012 ACM.

KW - Autonomic computing

KW - SBSE

KW - Search based optimization

KW - Self-adaptive systems

UR - http://www.scopus.com/inward/record.url?scp=84867570436&partnerID=8YFLogxK

U2 - 10.1145/2372251.2372253

DO - 10.1145/2372251.2372253

M3 - Conference paper (refereed)

SP - 1

EP - 8

BT - International Symposium on Empirical Software Engineering and Measurement

ER -

Dynamic adaptive search based software engineering

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this