Explainability as a non-functional requirement: challenges and recommendations

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Chazette, L.; Schneider, K.: Explainability as a non-functional requirement: challenges and recommendations. In: Requirements Engineering 25 (2020), S. 493-514. DOI: https://doi.org/10.1007/s00766-020-00333-1

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/11032

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Sum total of downloads: 115




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Abstract: 
Software systems are becoming increasingly complex. Their ubiquitous presence makes users more dependent on their correctness in many aspects of daily life. As a result, there is a growing need to make software systems and their decisions more comprehensible, with more transparency in software-based decision making. Transparency is therefore becoming increasingly important as a non-functional requirement. However, the abstract quality aspect of transparency needs to be better understood and related to mechanisms that can foster it. The integration of explanations into software has often been discussed as a solution to mitigate system opacity. Yet, an important first step is to understand user requirements in terms of explainable software behavior: Are users really interested in software transparency and are explanations considered an appropriate way to achieve it? We conducted a survey with 107 end users to assess their opinion on the current level of transparency in software systems and what they consider to be the main advantages and disadvantages of embedded explanations. We assess the relationship between explanations and transparency and analyze its potential impact on software quality. As explainability has become an important issue, researchers and professionals have been discussing how to deal with it in practice. While there are differences of opinion on the need for built-in explanations, understanding this concept and its impact on software is a key step for requirements engineering. Based on our research results and on the study of existing literature, we offer recommendations for the elicitation and analysis of explainability and discuss strategies for the practice. © 2020, The Author(s).
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2020
Appears in Collections:Fakultät für Elektrotechnik und Informatik

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 58 50.43%
2 image of flag of United States United States 24 20.87%
3 image of flag of China China 5 4.35%
4 image of flag of Slovakia Slovakia 3 2.61%
5 image of flag of Saudi Arabia Saudi Arabia 3 2.61%
6 image of flag of Israel Israel 3 2.61%
7 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 2 1.74%
8 image of flag of France France 2 1.74%
9 image of flag of Ireland Ireland 1 0.87%
10 image of flag of Ecuador Ecuador 1 0.87%
    other countries 13 11.30%

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