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Powering innovation in artificial intelligence with Open Access research...

Artificial intelligence (AI) and machine learning (ML) together represent a research frontier with a wide variety of discipline specific applications. At Strathclyde researchers in Computer & Information Sciences are exploring improved AI planning models to enable improved decision making by automous agents. Meanwhile, research conducted by the Aerospace Centre of Excellence is using AI and computational techniques to optimize the efficacy of certain astronautic applications. This includes 'global trajectory optimization' to aircraft and spacecraft design, from the planning and scheduling for autonomous vehicles to the synthesis of robust controllers for airplanes or satellites.

AI is also transforming the research agenda within Finance, where researchers are exploring the potential of AI and machine learning in evaluating banking risks and in new, emerging aspects of FinTech.

Explore some of this Open Access research from Computer & Information Sciences, Aerospace Centre of Excellence and Finance. Or explore all of Strathclyde's Open Access research...

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Number of items: 5.

Article

Davies, Steven and Roper, Marc and Wood, Murray (2014) Comparing text-based and dependence-based approaches for determining the origins of bugs. Journal of Software: Evolution and Process, 26 (1). pp. 107-139.

Book Section

Davies, Steven and Roper, Marc; (2014) What's in a bug report? In: IEEE International Symposium on Empirical Software Engineering and Measurement. ACM, GBR. ISBN 9781450327749

Davies, Steven and Roper, Marc; (2013) Bug localisation through diverse sources of information. In: 2013 IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2013. IEEE, USA, pp. 126-131. ISBN 9781479925520

Davies, Steven and Roper, Marc and Wood, Murray; (2011) A preliminary evaluation of text-based and dependency-based techniques for determining the origins of bugs. In: 18th Working Conference on Reverse Engineering (WCRE 2011). IEEE, IRL, pp. 201-210. ISBN 978-1-4577-1948-6

Conference or Workshop Item

Davies, Steven and Roper, Marc and Wood, Murray (2012) Using bug report similarity to enhance bug localisation. In: 19th Working Conference on Reverse Engineering, 2012-10-15 - 2012-10-18.

This list was generated on Fri Aug 7 11:24:20 2020 BST.