@inproceedings {Simula.simula.1584,
	title = {ARCS: Aligning Research on Code Smells},
	journal = {9th joint meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2013)},
	year = {2013},
	publisher = {ACM},
	type = {Workshop},
	abstract = {Code smells are a metaphor to describe issues with source code that are associated with bad program design and bad programming practices which negatively affect software comprehensibility and maintainability. As such, code smells could be ideal indicators to monitor the \&ldquo;health\&rdquo; of a system throughout its evolution, and to guide refactoring efforts to sustain comprehensibility and maintainability. Much code smell related work by both researchers and tool vendors has focused on the formalization and detection of code smells. Recently, studies have started to deeper investigate the impact of smells on software maintenance and evolution. However, there is a long road to go before code smell analysis can cost-efficiently drive exactly those refactorings that will improve the comprehensibility and maintainability of a given system. We identify four challenges to be tackled before we can reach this goal: (1) Lack of a common vocabulary to build a consistent knowledge base, (2) Lack of an ontological framework to compare/synthesize results across studies, (3) Lack of an evaluation framework to compare/evaluate the quality of detection approaches, and (4) Lack of a research agenda to make the knowledge/tools accessible to industrial contexts. The ARCS workshop will bring the members of this community together to establish a common research agenda addressing each of these challenges.},
	keywords = {Conference},
	isbn = {978-1-4503-2237-9},
	author = {Moonen, Leon and Yamashita, Aiko and Hall, Tracy and Counsell, Steve}
}
@book {Simula.approve.36,
	title = {11th International Conference on Product Focused Software Development and Process Improvement (PROFES2010) - Second Proceeding: Short Papers, Doctoral Symposium and Workshops},
	year = {2010},
	month = {June},
	publisher = {Universitalia},
	isbn = {978-88-6507-067-3},
	author = {Falessi, Davide and Zhang, He and Hall, Tracy and H{\"o}st, Martin and Niazi, Mahmood and Mishra, Alok}
}
@inproceedings {Simula.se.761,
	title = {Software Engineering Group Work - Personality, Patterns and Performance},
	journal = {Special Interest Group of the ACM on Management Information Systems and Special Interest Group of the ACM on Computer Personnel Research},
	year = {2010},
	pages = {43-47},
	publisher = {ACM},
	type = {Conference},
	abstract = {Software Engineering has been a fundamental part of many computing undergraduate courses for a number of years. Although many of the tools and techniques used to undertake software engineering have changed, the assessment has typically stayed the same. Students are commonly tasked with producing a number of software artefacts, for example designs using the Unified Modelling Language (UML). We recently attempted to extend the software engineering experience for a group of second year students with them participating in groups that attempt to replicate industrial practice. This paper reports our investigation into the correlation between the personality of group members, their approach with respect to using design patterns and their learning achievements.},
	isbn = {978-1-4503-0004-9},
	author = {Bell, David and Hall, Tracy and Jo Erskine {Hannay} and Pfahl, Dietmar and Silvia Teresita {Acu{\~n}a}},
	editor = {Downey, J. and Joseph, D.}
}
