Oregon State University

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MS Final Examination – Shalini Shamasunder


Thursday, June 14, 2012 12:00 PM - 2:00 PM

An empirical study - pairwise prediction of fault based on coverage

Researchers/engineers in the field of software testing have valued "coverage" as a testing metric for decades now. There have been various empirical results that have shown that as coverage increases the ability of the test program to detect a fault also increases. As a result numerous coverage techniques have been introduced. Which coverage criteria co-relates better with fault detection? Which coverage criteria on the other hand have lower correlation?  In other words, does it make more sense to achieve a higher percentage of 'c1' kind of coverage over a higher percentage of 'c2' coverage to gain good fault detection rate. Do the popular block and branch coverage perform better or does path coverage outperform them? Answering these questions will help future engineers/researchers in generating more efficient test suites and in gaining a better metric of measurement. This also helps in test suite minimization. This thesis studies the relationship between coverage and mutant kill-rates over large, randomly generated test suites for statement, branch, predicate, and path coverage of two realistic programs to answer the research questions and both confirms conventional wisdom about these coverage criteria and contains numerous surprises.

Major Advisor: Alex Groce
Committee: Bella Bose
Committee: Carlos Jensen
GCR: Jeffery Bethel 


Kelley Engineering Center (campus map)
1087
Shannon Thompson
1 541 737 7234
shannon.thompson at oregonstate.edu
Sch Elect Engr/Comp Sci
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