Details
| Original language | English |
|---|---|
| Title of host publication | Requirements Engineering |
| Subtitle of host publication | Foundation for Software Quality : 28th International Working Conference, REFSQ 2022, Birmingham, UK, March 21–24, 2022, Proceedings |
| Editors | Vincenzo Gervasi, Andreas Vogelsang |
| Place of Publication | Cham |
| Publisher | Springer Nature Switzerland AG |
| Pages | 26-32 |
| Number of pages | 7 |
| ISBN (electronic) | 978-3-030-98464-9 |
| ISBN (print) | 978-3-030-98463-2 |
| Publication status | Published - 9 Mar 2022 |
| Event | 28th International Working Conference on Requirement Engineering: Foundation for Software Quality - Aston, Birmingham, United Kingdom (UK) Duration: 21 Mar 2022 → 24 Mar 2022 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 13216 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
[Context and motivation] In our modern society, software systems are highly integrated into our daily life. Quality aspects such as ethics, fairness, and transparency have been discussed as essential for trustworthy software systems and explainability has been identified as a means to achieve all of these three in systems. [Question/problem] Like other quality aspects, explainability must be discovered and treated during the design of those systems. Although explainability has become a hot topic in several communities from different areas of knowledge, there is only little research on systematic explainability engineering. Yet, methods and techniques from requirements and software engineering would add a lot of value to the explainability research. [Principal ideas/results] As a first step to explore this research landscape, we held an interdisciplinary workshop to collect ideas from different communities and to discuss open research questions. In a subsequent working group, we further analyzed and structured the results of this workshop to identify the most important research questions. As a result, we now present a research roadmap for explainable systems. [Contribution] With our research roadmap we aim to advance the software and requirements engineering methods and techniques for explainable systems and to attract research on the most urgent open questions.
Keywords
- Explainability, Explainability engineering, Explainable artificial intelligence, Interpretability, Requirements engineering, Research roadmap, Software engineering, Software transparency
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
Requirements Engineering: Foundation for Software Quality : 28th International Working Conference, REFSQ 2022, Birmingham, UK, March 21–24, 2022, Proceedings. ed. / Vincenzo Gervasi; Andreas Vogelsang. Cham: Springer Nature Switzerland AG, 2022. p. 26-32 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13216 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Quo Vadis, Explainability?
T2 - 28th International Working Conference on Requirement Engineering: Foundation for Software Quality
AU - Brunotte, Wasja
AU - Chazette, Larissa
AU - Klös, Verena
AU - Speith, Timo
N1 - Funding Information: This work was supported by the research initiative Mobilise between the Technical University of Braunschweig and Leibniz University Hannover, funded by the Ministry for Science and Culture of Lower Saxony and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany?s Excellence Strategy within the Cluster of Excellence PhoenixD (EXC 2122, Project ID 390833453). Work on this paper was also funded by the Volkswagen Foundation grant AZ 98514 ?Explainable Intelligent Systems? (EIS) and by the DFG grant 389792660 as part of TRR 248.
PY - 2022/3/9
Y1 - 2022/3/9
N2 - [Context and motivation] In our modern society, software systems are highly integrated into our daily life. Quality aspects such as ethics, fairness, and transparency have been discussed as essential for trustworthy software systems and explainability has been identified as a means to achieve all of these three in systems. [Question/problem] Like other quality aspects, explainability must be discovered and treated during the design of those systems. Although explainability has become a hot topic in several communities from different areas of knowledge, there is only little research on systematic explainability engineering. Yet, methods and techniques from requirements and software engineering would add a lot of value to the explainability research. [Principal ideas/results] As a first step to explore this research landscape, we held an interdisciplinary workshop to collect ideas from different communities and to discuss open research questions. In a subsequent working group, we further analyzed and structured the results of this workshop to identify the most important research questions. As a result, we now present a research roadmap for explainable systems. [Contribution] With our research roadmap we aim to advance the software and requirements engineering methods and techniques for explainable systems and to attract research on the most urgent open questions.
AB - [Context and motivation] In our modern society, software systems are highly integrated into our daily life. Quality aspects such as ethics, fairness, and transparency have been discussed as essential for trustworthy software systems and explainability has been identified as a means to achieve all of these three in systems. [Question/problem] Like other quality aspects, explainability must be discovered and treated during the design of those systems. Although explainability has become a hot topic in several communities from different areas of knowledge, there is only little research on systematic explainability engineering. Yet, methods and techniques from requirements and software engineering would add a lot of value to the explainability research. [Principal ideas/results] As a first step to explore this research landscape, we held an interdisciplinary workshop to collect ideas from different communities and to discuss open research questions. In a subsequent working group, we further analyzed and structured the results of this workshop to identify the most important research questions. As a result, we now present a research roadmap for explainable systems. [Contribution] With our research roadmap we aim to advance the software and requirements engineering methods and techniques for explainable systems and to attract research on the most urgent open questions.
KW - Explainability
KW - Explainability engineering
KW - Explainable artificial intelligence
KW - Interpretability
KW - Requirements engineering
KW - Research roadmap
KW - Software engineering
KW - Software transparency
UR - http://www.scopus.com/inward/record.url?scp=85127080985&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-98464-9_3
DO - 10.1007/978-3-030-98464-9_3
M3 - Conference contribution
SN - 978-3-030-98463-2
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 26
EP - 32
BT - Requirements Engineering
A2 - Gervasi, Vincenzo
A2 - Vogelsang, Andreas
PB - Springer Nature Switzerland AG
CY - Cham
Y2 - 21 March 2022 through 24 March 2022
ER -