Improving IT Change Management Processes with Automated Risk Assessment

  • Authors:
  • Juliano Araujo Wickboldt;Luís Armando Bianchin;Roben Castagna Lunardi;Fabrício Girardi Andreis;Weverton Luis Costa Cordeiro;Cristiano Bonato Both;Lisandro Zambenedetti Granville;Luciano Paschoal Gaspary;David Trastour;Claudio Bartolini

  • Affiliations:
  • Federal University of Rio Grande do Sul, Porto Alegre, Brazil;Federal University of Rio Grande do Sul, Porto Alegre, Brazil;Federal University of Rio Grande do Sul, Porto Alegre, Brazil;Federal University of Rio Grande do Sul, Porto Alegre, Brazil;Federal University of Rio Grande do Sul, Porto Alegre, Brazil;Federal University of Rio Grande do Sul, Porto Alegre, Brazil;Federal University of Rio Grande do Sul, Porto Alegre, Brazil;Federal University of Rio Grande do Sul, Porto Alegre, Brazil;Hewlett Packard Laboratories, Bristol, UK;Hewlett Packard Laboratories, Palo Alto, USA

  • Venue:
  • DSOM '09 Proceedings of the 20th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management: Integrated Management of Systems, Services, Processes and People in IT
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

The rational management of IT infrastructures is a goal of modern organizations that aim to deliver high quality services to their customers in an affordable way. Since changes are imminent in such a dynamic environment, failures during this process may directly affect business continuity. Hence, risk assessment is a key process in IT change management. Despite its importance, risks are usually assessed by humans based on empirical knowledge, leading to inaccurate basis for decision making. In this paper, we present a solution for automating the risk assessment process, which combines historical data from previous changes and analyzes impact of changes over affected elements. A prototypical system was developed to evaluate the solution on an emulated IT infrastructure. The results achieved show how the automated solution is capable of raising the quality of changes, therefore reducing service disruption caused by changes.