DocumentCode
2210335
Title
A model-based regression test selection technique
Author
Naslavsky, Leila ; Ziv, Hadar ; Richardson, Debra J.
Author_Institution
Donald Bren Sch. of Inf. & Comput. Sci., Univ. of California, Irvine, CA, USA
fYear
2009
fDate
20-26 Sept. 2009
Firstpage
515
Lastpage
518
Abstract
Throughout their life cycle, software artifacts are modified, and selective regression testing is used to identify the negative impact of modifications. Code-based regression test selection retests test cases sub-set that traverse code modifications. It uses recovered relationships between code parts and test cases that traverse them to locate test cases for retest when code is modified. Broad adoption of model-centric development has created opportunities for software testing. It enabled driving testing processes at higher abstraction levels and demonstrating code to model compliance by means of Model-Based Testing (MBT). Models also evolve, so an important activity of MBT is selective regression testing. It selects test cases for retest based on model modification, so it relies on relationships between model elements and test cases that traverse those elements to locate test cases for retest. We contribute an approach and prototype that during test case generation creates fine-grained traceability relationships between model elements and test cases, which are used to support model-based regression test selection.
Keywords
program testing; regression analysis; code-based regression test selection technique; model-based regression test selection; model-based testing; selective regression testing; software artifacts; software testing; test case generation; Analytical models; Automatic testing; Drives; Information analysis; Life testing; Prototypes; Software quality; Software systems; Software testing; Unified modeling language;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Maintenance, 2009. ICSM 2009. IEEE International Conference on
Conference_Location
Edmonton, AB
ISSN
1063-6773
Print_ISBN
978-1-4244-4897-5
Electronic_ISBN
1063-6773
Type
conf
DOI
10.1109/ICSM.2009.5306338
Filename
5306338
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