Capturing Risks in Agile Methods

Edzreena Odzaly, Desmond Greer, Darryl Stewart

Research output: Contribution to journalArticlepeer-review


Risk management is an important process in Software Engineering. However, it can be perceived as contrary to the more
lightweight processes used in Agile methods. Thus an appropriate and realistic risk management model is required as well as tool support that minimizes human effort. The Agile Risk Tool (ART) uses software agents to carry out risk management tasks and makes use of the data collected from the project environment to detect risks. This paper describes the underlying risk management model in ART and uses two case studies for evaluation. The results show that agents are of use for detecting risk and reacting dynamically to changes in project environment. Within the tool, risk data was collected and stored in a Risk Register. For ongoing assessment of risk a new measure, Total Risk Score (TRS) has been developed related to the Risk severity, the risk results later was assessed and presented in form of graphs.
Original languageEnglish
Pages (from-to) 1509–1513
Number of pages5
JournalAdvanced Science Letters
Issue number2
Publication statusPublished - 01 Feb 2018
EventInternational Conference on Information Systems and Technology 2016 - Sabah, Malaysia
Duration: 28 Nov 201630 Nov 2016


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