Showing items related by title, author, creator and subject.

• A Systematic literature review on fault prediction performance in software engineering 

  Hall, Tracy; Beecham, Sarah; Bowes, David; Gray, David; Counsell, Steven (IEEE Computer Society, 2011)

  Background: The accurate prediction of where faults are likely to occur in code can help direct test effort, reduce costs and improve the quality of software. Objective: We investigate how the context of models, the ...
• SLuRp – a tool to help large complex systematic literature reviews deliver valid and rigorous results 

  Bowes, David; Hall, Tracy; Beecham, Sarah (Association for Computing Machinery, 2012)

  Background: Systematic literature reviews are increasingly used in software engineering. Most systematic literature reviews require several hundred papers to be examined and assessed. This is not a trivial task and can ...
• Introduction to the EASE 2016 special section:evidence-based software engineering: past, present, and future 

  Beecham, Sarah; Bowes, David; Stol, Klaas-Jan (Elsevier, 2017)

  The International Conference on Evaluation and Assessment in Software Engineering (EASE) had its twentieth anniversary in 2016, with that year’s edition hosted in Limerick, Ireland. Founded in 1997, the EASE conference ...
• Experimental assessment of software metrics using automated refactoring 

  Ó Cinnéide, Mel; Tratt, Laurence; Harman, Mark; Counsell, Steven; Hemati-Moghadam, Iman (Association for Computing Machinery, 2012)

  A large number of software metrics have been proposed in the literature, but there is little understanding of how these metrics relate to one another. We propose a novel experimental technique, based on search-based ...
• Towards a global software development community Web: identifying patterns and scenarios 

  Monasor, Miguel J; Vizcaíno, Aurora; Piattini, Mario; Noll, John; Beecham, Sarah (IEEE Computer Society, 2013)

  Sources of Global Software Development (GSD) information, such as academic literature, often focus on highlevel issues rather than on specific problems. Researchers tend to generalize problems and solutions; however, ...