CQUniversity
Browse

File(s) not publicly available

Poster: Enhancing partition testing through output variation

conference contribution
posted on 2018-11-28, 00:00 authored by H Liu, Pak PoonPak Poon, TY Chen
A major test case generation approach is to divide the input domain into disjoint partitions, from which test cases can be selected. However, we observe that in some traditional approaches to partition testing, the same partition may be associated with different output scenarios. Such an observation implies that the partitioning of the input domain may not be precise enough for effective software fault detection. To solve this problem, partition testing should be fine-tuned to additionally use the information of output scenarios in test case generation, such that these test cases are more fine-grained not only with respect to the input partitions but also from the perspective of output scenarios.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Start Page

805

End Page

806

Number of Pages

2

Start Date

2015-05-16

Finish Date

2015-05-24

eISSN

1558-1225

ISSN

0270-5257

ISBN-13

9781479919345

Location

Florence, Italy

Publisher

IEEE

Place of Publication

Los Alamitos, CA

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

RMIT University; Swinburne University of Technology

Era Eligible

  • No

Name of Conference

37th International Conference on Software Engineering (ICSE 2015)

Usage metrics

    CQUniversity

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC