Significant References

A list of significant previous work that my research will build upon, base on, utilize, leverage ... This list will be updated as a result of adjustment of research direction due to the growth of my knowledge, enlightenment gained, or guidance received from supervisors.

Year of publication	Paper name	Level of influence	Reason for inclusion
2005	An Insight-Based Methodology for Evaluating Bioinformatics Visualizations	g75 (20-Mar-2010)	presented an controlled experiment with insight-based evaluation which is likely to be adapted for my experiment design
2006	Toward measuring visualization insight	g68 (20-Mar-2010)	argued why controlled experiment with benchmark tasks hindered revealation of insights facilitated by visualization; controlled experiment with insight-based approach relieves experimenter from having to design benchmark tasks which is a surprisingly difficult job; at the end, it states the need for both types of controlled experiment in practice but benchmark tasks should not precede open-ended insight-based portion
2009	Beyond Pretty Pictures: Examining the Benefits of Code Visualization for Open Source Newcomers	??	it presented a controlled experiment evaluating how visualization help OSS newcomers' information need, which relates very closely to my work in evaluating effectiveness/usefulness of Jigsaw visualizing OSS systems from the Qualitas Corpus
2005	The paradox of software visualization	g11 (21-Mar-2010)	controversial to a hypothesis we might put forward - "the inventor's paradox"; the author argues that "we shouldn't be thinking in terms of generic problems on yesterdays' systems, but rather thinking about how we can ... address specific problems on future systems"
2008	Visual Analytics: Definition, Process, and Challenges	g14 (27 Mar 2010)	provides a better definition of VA; supports our argument by pointing out "current diversification and dispersion of visual analytics research and development resulted from its focus onto specfic application areas", while this approach suits requirements of each specific application area, author believes " a more rigorous and overall scientific perspective will lead to a better understanding of the field and a more effective and effcient development of innovative methods and techniques; mentioned the challenges of VA evaluation due to complex and heterogeneous problem domains; The problems addressed by Visual Analytics are generic

Level of influence: number of citations reported by google scholar with query date