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University of Western Ontario

1. Miranskyy, Andriy. Models, Techniques, and Metrics for Managing Risk in Software Engineering.

Degree: 2011, University of Western Ontario

The field of Software Engineering (SE) is the study of systematic and quantifiable approaches to software development, operation, and maintenance. This thesis presents a set of scalable and easily implemented techniques for quantifying and mitigating risks associated with the SE process. The thesis comprises six papers corresponding to SE knowledge areas such as software requirements, testing, and management. The techniques for risk management are drawn from stochastic modeling and operational research. The first two papers relate to software testing and maintenance. The first paper describes and validates novel iterative-unfolding technique for filtering a set of execution traces relevant to a specific task. The second paper analyzes and validates the applicability of some entropy measures to the trace classification described in the previous paper. The techniques in these two papers can speed up problem determination of defects encountered by customers, leading to improved organizational response and thus increased customer satisfaction and to easing of resource constraints. The third and fourth papers are applicable to maintenance, overall software quality and SE management. The third paper uses Extreme Value Theory and Queuing Theory tools to derive and validate metrics based on defect rediscovery data. The metrics can aid the allocation of resources to service and maintenance teams, highlight gaps in quality assurance processes, and help assess the risk of using a given software product. The fourth paper characterizes and validates a technique for automatic selection and prioritization of a minimal set of customers for profiling. The minimal set is obtained using Binary Integer Programming and prioritized using a greedy heuristic. Profiling the resulting customer set leads to enhanced comprehension of user behaviour, leading to improved test specifications and clearer quality assurance policies, hence reducing risks associated with unsatisfactory product quality. The fifth and sixth papers pertain to software requirements. The fifth paper both models the relation between requirements and their underlying assumptions and measures the risk associated with failure of the assumptions using Boolean networks and stochastic modeling. The sixth paper models the risk associated with injection of requirements late in development cycle with the help of stochastic processes.

Subjects/Keywords: software engineering; risk; execution trace; entropy; defect rediscovery; extreme value theory; Kappa distribution; G/M/k queue; binary integer programming; customer profiling; escalated requirement; assumption; stochastic modeling; Boolean network; Other Applied Mathematics; Software Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Miranskyy, A. (2011). Models, Techniques, and Metrics for Managing Risk in Software Engineering. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/188

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Miranskyy, Andriy. “Models, Techniques, and Metrics for Managing Risk in Software Engineering.” 2011. Thesis, University of Western Ontario. Accessed June 19, 2019. https://ir.lib.uwo.ca/etd/188.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Miranskyy, Andriy. “Models, Techniques, and Metrics for Managing Risk in Software Engineering.” 2011. Web. 19 Jun 2019.

Vancouver:

Miranskyy A. Models, Techniques, and Metrics for Managing Risk in Software Engineering. [Internet] [Thesis]. University of Western Ontario; 2011. [cited 2019 Jun 19]. Available from: https://ir.lib.uwo.ca/etd/188.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Miranskyy A. Models, Techniques, and Metrics for Managing Risk in Software Engineering. [Thesis]. University of Western Ontario; 2011. Available from: https://ir.lib.uwo.ca/etd/188

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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