Software testing increases confidence in the correctness of an application’s source code. Altering a test suite’s execution order enables earlier detection of defects and allows developers to fix errors sooner. The many existing prioritization methods produce different possible test suite orders from which to choose. We propose, implement in a free and open source system, and informally evaluate Interactive Coverage Effectiveness Multiplots, an interactive visualization technique that allows software testers to quickly filter, appraise and compare the effectiveness of many test suite orders. Preliminary results show that researchers, students, and practitioners in the field of software testing find the system useful.
Smith, A. M., Geiger, J. J., Kapfhammer, G. M., Renieris, M., & Marai, G. E. (2009). Interactive coverage effectiveness multiplots for evaluating prioritized regression test suites. Compendium of the 15th Information Visualization Conference.
Want to cite this paper? Look in the BiBTeX file of gkapfham/research-bibliography for the key "Smith2009a".