Evaluation of self-Adaptive systems: A women perspective

C. Raibulet; F.A. Fontana

doi:10.1145/3129790.3129825

Evaluation of self-Adaptive systems: A women perspective

C. Raibulet
, F.A. Fontana

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

Abstract

© 2017 ACM.Statistically, the number of women in computer science is significantly lower than the number of men working in the same domain. This applies also to the subarea of software architectures. We would like to outline that there may be also exceptions: There are more women than men leading and working in the evaluation of autonomic and self-Adaptive issues in software systems. In this paper, we introduce seven research approaches involving women in the evaluation of self-Adaptive systems. Further, we discuss the heterogeneity of these evaluation approaches from various points of view (e.g., types of systems addressed, types of evaluation, qualitative vs quantitative or static vs dynamic). The paper ends with our thoughts and perspectives on future needs and trends in the evaluation of self-Adaptive systems.

Original language	English
Title of host publication	Companion Proceedings - 11th European Conference on Software Architecture, ECSA 2017
Publisher	Association for Computing Machinery
Pages	23-30
ISBN (Electronic)	9781450352178
DOIs	https://doi.org/10.1145/3129790.3129825
Publication status	Published - 11 Sept 2017
Externally published	Yes
Event	11th European Conference on Software Architecture, ECSA 2017 - Canterbury, United Kingdom Duration: 11 Sept 2017 → 15 Sept 2017

Conference

Conference	11th European Conference on Software Architecture, ECSA 2017
Country/Territory	United Kingdom
City	Canterbury
Period	11/09/17 → 15/09/17

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title = "Evaluation of self-Adaptive systems: A women perspective",

abstract = "{\textcopyright} 2017 ACM.Statistically, the number of women in computer science is significantly lower than the number of men working in the same domain. This applies also to the subarea of software architectures. We would like to outline that there may be also exceptions: There are more women than men leading and working in the evaluation of autonomic and self-Adaptive issues in software systems. In this paper, we introduce seven research approaches involving women in the evaluation of self-Adaptive systems. Further, we discuss the heterogeneity of these evaluation approaches from various points of view (e.g., types of systems addressed, types of evaluation, qualitative vs quantitative or static vs dynamic). The paper ends with our thoughts and perspectives on future needs and trends in the evaluation of self-Adaptive systems.",

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AU - Fontana, F.A.

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N2 - © 2017 ACM.Statistically, the number of women in computer science is significantly lower than the number of men working in the same domain. This applies also to the subarea of software architectures. We would like to outline that there may be also exceptions: There are more women than men leading and working in the evaluation of autonomic and self-Adaptive issues in software systems. In this paper, we introduce seven research approaches involving women in the evaluation of self-Adaptive systems. Further, we discuss the heterogeneity of these evaluation approaches from various points of view (e.g., types of systems addressed, types of evaluation, qualitative vs quantitative or static vs dynamic). The paper ends with our thoughts and perspectives on future needs and trends in the evaluation of self-Adaptive systems.

AB - © 2017 ACM.Statistically, the number of women in computer science is significantly lower than the number of men working in the same domain. This applies also to the subarea of software architectures. We would like to outline that there may be also exceptions: There are more women than men leading and working in the evaluation of autonomic and self-Adaptive issues in software systems. In this paper, we introduce seven research approaches involving women in the evaluation of self-Adaptive systems. Further, we discuss the heterogeneity of these evaluation approaches from various points of view (e.g., types of systems addressed, types of evaluation, qualitative vs quantitative or static vs dynamic). The paper ends with our thoughts and perspectives on future needs and trends in the evaluation of self-Adaptive systems.

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M3 - Conference contribution

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Y2 - 11 September 2017 through 15 September 2017

ER -

Evaluation of self-Adaptive systems: A women perspective

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