Design-Space Exploration for Decision-Support Software

Ate Penders; Ana-Lucia Varbanescu; Gregor Pavlin; Henk Sips

doi:10.1145/3551349.3559502

Design-Space Exploration for Decision-Support Software

Ate Penders, Ana-Lucia Varbanescu, Gregor Pavlin, Henk Sips

Computer Architecture Design and Test for Embedded Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

Abstract

Presence monitoring or intrusion detection in a location/area are examples of decision-support applications. Decision-support applications are applications where monitoring is used to collect (heterogeneous) data and create situational awareness, which further requires decisions and/or actions. As such, decision-support software consists of different interconnected components with very diverse roles, whose communication and synchronization are essential for the application functionality and performance. Despite this complexity, software design for decision-support is often driven by short-term functional requirements and only supported by designers' previous experience. In the current non-systematic approach, mistakes can be easily made, and can be very difficult to repair. In this work, we describe our systematic method for efficient and effective decision-support software design, based on application design-space exploration (DSE). To this end, we describe how to build a design space and present structured methods to traverse the design space towards software solutions that meet user requirements for both functionality and performance.

Original language	English
Title of host publication	ASE '22
Subtitle of host publication	37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022
Editors	Mario Aehnelt, Thomas Kirste
Place of Publication	New York, NY
Publisher	Association for Computing Machinery
ISBN (Electronic)	978-1-4503-9624-0
ISBN (Print)	978-1-4503-9475-8
DOIs	https://doi.org/10.1145/3551349.3559502
Publication status	Published - 19 Sept 2022
Event	37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022 - Rochester, United States Duration: 10 Oct 2022 → 14 Oct 2022 Conference number: 37

Conference

Conference	37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022
Abbreviated title	ASE 2022
Country/Territory	United States
City	Rochester
Period	10/10/22 → 14/10/22

Keywords

Decision support systems
Design blueprint
Design patterns
Design space exploration
Influence graph
Software design
NLA

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10.1145/3551349.3559502

Cite this

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title = "Design-Space Exploration for Decision-Support Software",

abstract = "Presence monitoring or intrusion detection in a location/area are examples of decision-support applications. Decision-support applications are applications where monitoring is used to collect (heterogeneous) data and create situational awareness, which further requires decisions and/or actions. As such, decision-support software consists of different interconnected components with very diverse roles, whose communication and synchronization are essential for the application functionality and performance. Despite this complexity, software design for decision-support is often driven by short-term functional requirements and only supported by designers' previous experience. In the current non-systematic approach, mistakes can be easily made, and can be very difficult to repair. In this work, we describe our systematic method for efficient and effective decision-support software design, based on application design-space exploration (DSE). To this end, we describe how to build a design space and present structured methods to traverse the design space towards software solutions that meet user requirements for both functionality and performance.",

keywords = "Decision support systems, Design blueprint, Design patterns, Design space exploration, Influence graph, Software design, NLA",

author = "Ate Penders and Ana-Lucia Varbanescu and Gregor Pavlin and Henk Sips",

note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022, ASE 2022 ; Conference date: 10-10-2022 Through 14-10-2022",

year = "2022",

month = sep,

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language = "English",

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Penders, A, Varbanescu, A-L, Pavlin, G & Sips, H 2022, Design-Space Exploration for Decision-Support Software. in M Aehnelt & T Kirste (eds), ASE '22: 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022., 134, Association for Computing Machinery, New York, NY, 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022, Rochester, New York, United States, 10/10/22. https://doi.org/10.1145/3551349.3559502

Design-Space Exploration for Decision-Support Software. / Penders, Ate; Varbanescu, Ana-Lucia; Pavlin, Gregor et al.
ASE '22: 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022. ed. / Mario Aehnelt; Thomas Kirste. New York, NY: Association for Computing Machinery, 2022. 134.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Penders, Ate

AU - Varbanescu, Ana-Lucia

AU - Pavlin, Gregor

AU - Sips, Henk

N1 - Conference code: 37

PY - 2022/9/19

Y1 - 2022/9/19

N2 - Presence monitoring or intrusion detection in a location/area are examples of decision-support applications. Decision-support applications are applications where monitoring is used to collect (heterogeneous) data and create situational awareness, which further requires decisions and/or actions. As such, decision-support software consists of different interconnected components with very diverse roles, whose communication and synchronization are essential for the application functionality and performance. Despite this complexity, software design for decision-support is often driven by short-term functional requirements and only supported by designers' previous experience. In the current non-systematic approach, mistakes can be easily made, and can be very difficult to repair. In this work, we describe our systematic method for efficient and effective decision-support software design, based on application design-space exploration (DSE). To this end, we describe how to build a design space and present structured methods to traverse the design space towards software solutions that meet user requirements for both functionality and performance.

AB - Presence monitoring or intrusion detection in a location/area are examples of decision-support applications. Decision-support applications are applications where monitoring is used to collect (heterogeneous) data and create situational awareness, which further requires decisions and/or actions. As such, decision-support software consists of different interconnected components with very diverse roles, whose communication and synchronization are essential for the application functionality and performance. Despite this complexity, software design for decision-support is often driven by short-term functional requirements and only supported by designers' previous experience. In the current non-systematic approach, mistakes can be easily made, and can be very difficult to repair. In this work, we describe our systematic method for efficient and effective decision-support software design, based on application design-space exploration (DSE). To this end, we describe how to build a design space and present structured methods to traverse the design space towards software solutions that meet user requirements for both functionality and performance.

KW - Decision support systems

KW - Design blueprint

KW - Design patterns

KW - Design space exploration

KW - Influence graph

KW - Software design

KW - NLA

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BT - ASE '22

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A2 - Kirste, Thomas

PB - Association for Computing Machinery

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Y2 - 10 October 2022 through 14 October 2022

ER -

Design-Space Exploration for Decision-Support Software

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