MetaCartSign in to MyCiteSeer

Include Citations | Advanced Search | Help

Include Citations | Advanced Search | Help

  The impact of software evolution on code coverage (2001) [7 citations — 2 self]

Download:
Download as a PDF | Download as a PS
by Sebastian Elbaum, David Gable, Gregg Rothermel
In Int’l. Conf. Softw. Maint
http://www.cs.orst.edu/~grother/papers/icsm01a.ps.gz
Add To MetaCart

Abstract:

Many tools and techniques for addressing software maintenance problems rely on code coverage information. Often, this coverage information is gathered for a specific version of a software system, and then used to perform analyses on subsequent versions of that system without being recalculated. As a software system evolves, however, modifications to the software alter the software's behavior on particular inputs, and code coverage information gathered on earlier versions of a program may not accurately reflect the coverage that would be obtained on later versions. This discrepancy may affect the success of analyses dependent on code coverage information. Despite the importance of coverage information in various analyses, in our search of the literature we find no studies specifically examining the impact of software evolution on code coverage information. Therefore, we conducted empirical studies to examine this impact. The results of our studies suggest that even relatively small modifications can greatly affect code coverage information, and that the degree of impact of change on coverage may be difficult to predict. 1

Citations

231 Optimally profiling and tracing programs – Ball, Larus - 1360
214 Dynamic program slicing – Agrawal, Horgan - 1990
211 Selecting software test data using data flow information – Rapps, Weyuker - 1985
97 A safe, efficient regression test selection technique – Rothermel, Harrold - 1997
89 Software Change Impact Analysis – Arnold, Bohner - 1996
88 Efficient program tracing – Larus - 1993
65 Experimental design: Procedures for the behavioral sciences (3rd ed – Kirk - 1995
56 Aristotle: A system for research on and development of program-analysis based tools – Harrold, Rothermel - 1997
56 Effect of test set minimization on fault detection e ectiveness – Wong, Horgan, et al. - 1998
48 A study of effective regression testing in practice – Wong, Horgan, et al. - 1997
43 Empirical evaluation of the textual differencing regression testing technique – Vokolos, Frankl - 1998
42 Prioritizing test cases for regression testing – Elbaum, Malishevsky, et al. - 2000
41 An empirical study of the effects of minimization on the fault-detection capabilities of test suites – Rothermel, Harrold, et al. - 1998
38 Test case prioritization: an empirical study – Rothermel, Untch, et al. - 1999
31 Using coverage information to predict the cost-effectiveness of regression testing strategies – Rosenblum, Weyuker - 1997
24 A firewall concept for both control-flow and data-flow in regression integration testing – White, Leung - 1992
19 Dynamic impact analysis: A cost-effective technique to enforce error-propagation – Goradia - 1993
14 Dynamic program slicing methods – Korel, Rilling - 1998
11 CLIC: A tool for the measurement of software system dynamics – Elbaum, Munson, et al. - 1998
9 Dynamic slicing of distributed programs – Kamkar, Krajina - 1995
8 Software testing and reliability – Horgan, Mathur - 1996
7 Revalidation during the software maintenance phase – Hartmann, Robson - 1989
6 Reducing and estimating the cost of test coverage criteria – Marre, Bertolino - 1996
2 Evaluating regression test suites based on their fault exposure capability – Elbaum, Munson
2 Estimating test effectiveness with dynamic complexity measurement – Munson, Hall - 1996
1 bash - Shell of the GNU operating system. http://www.gnu.org/gnulist/production/bash.html – Fox, Ramey
1 Learning the Bash Shell. O'Reilly Associates – Newham, Rosenblatt - 1998