Evaluating the effectiveness of reliability-assurance techniques
Journal of Systems and Software
Seesoft-A Tool for Visualizing Line Oriented Software Statistics
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
Software Visualization in the Large
Computer
Visualization of test information to assist fault localization
Proceedings of the 24th International Conference on Software Engineering
XML database support for program trace visualisation
APVis '04 Proceedings of the 2004 Australasian symposium on Information Visualisation - Volume 35
Countering Security Information Overload through Alert and Packet Visualization
IEEE Computer Graphics and Applications
Mining Edge-Weighted Call Graphs to Localise Software Bugs
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Runtime debugging using reverse-engineered UML
MODELS'07 Proceedings of the 10th international conference on Model Driven Engineering Languages and Systems
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Large test suites are frequently used to evaluate software systems and to locate errors. Unfortunately, this process can generate a huge amount of data that is difficult to interpret manually. We have created a system, Tarantula, that visually encodes test data to help find program errors. The system uses a principled color mapping to represent source lines in passed and failed tests. It also provides a flexible user interface for examining different perspectives that show the behavior of the source code on test sets, ranging from individual tests, to important subsets such as the set of failed tests, to the entire test suite.