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Sarah Beecham

Researcher at University of Limerick

Publications -  110
Citations -  4562

Sarah Beecham is an academic researcher from University of Limerick. The author has contributed to research in topics: Software development & Personal software process. The author has an hindex of 26, co-authored 110 publications receiving 3937 citations. Previous affiliations of Sarah Beecham include University of Hertfordshire & Brunel University London.

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A Systematic Literature Review on Fault Prediction Performance in Software Engineering

TL;DR: Although there are a set of fault prediction studies in which confidence is possible, more studies are needed that use a reliable methodology and which report their context, methodology, and performance comprehensively.
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Motivation in Software Engineering: A systematic literature review

TL;DR: The landscape of current reported knowledge in terms of what motivates developers, what de-motivates them and how existing models address motivation is plotted to indicate that there is no clear understanding of the Software Engineers' job, how they are motivated, or the outcome and benefits of motivating Software Engineers.
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Global software development and collaboration: barriers and solutions

TL;DR: It is found that the key barriers to collaboration are geographic, temporal, cultural, and linguistic distance; the primary solutions to overcoming these barriers include site visits, synchronous communication technology, and knowledge sharing infrastructure to capture implicit knowledge and make it explicit.
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Requirements problems in twelve software companies: an empirical analysis

TL;DR: The findings suggest that most requirements problems are organisational rather than technical, and that there is a relationship between companies' maturity and patterns of requirements problems.
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Models of motivation in software engineering

TL;DR: This paper constructed a new model of motivation in software engineering using the results from the previous systematic literature review (SLR), compared this new model with existing models and refined it based on this comparison.