Enhancing Incident Management

Insights from a Case Study at ING

Conference Paper (2024)
Authors

Eileen Kapel (ING Bank)

Luis Cruz (TU Delft - Software Engineering)

Diomidis Spinellis (TU Delft - Software Engineering)

Arie Van Deursen (TU Delft - Software Engineering)

Research Group
Software Engineering
To reference this document use:
https://doi.org/10.1145/3643665.3648048
More Info
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Publication Year
2024
Language
English
Research Group
Software Engineering
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
1-8
ISBN (electronic)
979-8-4007-0568-7
DOI:
https://doi.org/10.1145/3643665.3648048
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Abstract

An incident management process is necessary in businesses that depend strongly on software and services. A proper process is essential to guarantee that incidents are well-handled, especially in a financial software-defined business needing to adhere to guidelines and regulations. This paper aims to enhance understanding of the current state of practice through a single-case exploratory case study, at the international bank ING, by interviewing 15 subject matter experts on the incident management process. The research identifies eight core observations on tool usage, the challenges experienced and future opportunities. Core challenges include monitoring data quality, the complexity of the environment, and the balance between minimising incident resolution time and following procedural guidelines. Future opportunities can lessen these challenges by making better use of available tooling and employing machine learning approaches. This requires tight supervision on the use of best practices and good monitoring data quality. The findings emphasise the need for a strengthened focus on improving the quality of monitoring data, handling environment complexity, incident clustering, and better support for regulatory compliance.

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