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Journal of Computer Science
Article . 2013 . Peer-reviewed
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Journal of Computer Science
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OPTIMIZATION OF TEST CASES BY PRIORITIZATION

Authors: Thangavel Prem Jacob; Thavasi Anandam Ravi;

OPTIMIZATION OF TEST CASES BY PRIORITIZATION

Abstract

Regression testing is testing the software in order to make sure that the modification made on the program lines does not affect the other parts of th e software, it is in maintenance phase and accounts for 80% of the maintenance cost and thus optimizing reg ression testing is one of the prime motives of software testers. Here we take the advantage of sel ecting test case information available in regressio n testing and prioritize them based on the number of modified lines covered by the test case, the test c ase which covers the most number of modified lines has the highest priority and is executed first and the one with the least coverage of modified lines has the l owest priority and is executed last provided deadli ne time is not reached, thus even if the testing is no t finished we will have covered maximum modified lines, the prioritization of the test cases are don e using the genetic algorithm, the genetic algorith m takes test case information from regression testing as in put and produces a sequence of test case to be exec uted such that the maximum number of modified code is covered.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    21
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Top 10%
Average
gold