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A Chemical Reaction Optimization Approach to Prioritize the Regression Test Cases of Object-Oriented Programs

Journal of ICT Research and Applications (JICTRA) · Vol. 11 No. 2 (2017) · pp. 113–130

DOI
10.5614/itbj.ict.res.appl.2017.11.2.1
ISSN
2338-5499, 2337-5787
Published
2017-08-31
Publisher
DRI - ITB
Language
eng

Abstract

Regression test case prioritization is used to improve certain performance goals. Limited resources force to choose an effective prioritization technique, which makes an ordering of the test cases so that the most suitable test case will be executed first. Executing regression test cases for a fixed time is all about time aware test case prioritization. Regression test case prioritization using chemical reaction optimization (CRO) for object-oriented programs is proposed in this paper. The effectiveness of the test case ordering was measured using average percentage of faults detected (APFD). Experiments on three object-oriented subject programs involving three different techniques were performed to judge the proposed approach. The empirical results indicate that the algorithm implemented using CRO gives a higher APFD value than the other two techniques.

Keywords

Collaboration network of the authors

4 authors · 4 co-authorship links · 3 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Koneru Lakshmaiah Education Foundation
  • Siksha O Anusandhan University
  • GMR Institute of Technology
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Sridevi GuttaKoneru Lakshmaiah Education Foundation1
Jayasri AngaraKoneru Lakshmaiah Education Foundation1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journals.itb.ac.id/index.php/jictra/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">A Chemical Reaction Optimization Approach to Prioritize the Regression Test Cases of Object-Oriented Programs</dc:title>
	<dc:creator>Mohapatra, Sudhir Kumar</dc:creator>
	<dc:creator>Prasad, Srinivas</dc:creator>
	<dc:subject xml:lang="en-US">APFD</dc:subject>
	<dc:subject xml:lang="en-US">chemical reaction optimization</dc:subject>
	<dc:subject xml:lang="en-US">regression testing</dc:subject>
	<dc:subject xml:lang="en-US">test case minimization</dc:subject>
	<dc:subject xml:lang="en-US">test case prioritization</dc:subject>
	<dc:subject xml:lang="en-US">test case reduction.</dc:subject>
	<dc:description xml:lang="en-US">Regression test case prioritization is used to improve certain performance goals. Limited resources force to choose an effective prioritization technique, which makes an ordering of the test cases so that the most suitable test case will be executed first. Executing regression test cases for a fixed time is all about time aware test case prioritization. Regression test case prioritization using chemical reaction optimization (CRO) for object-oriented programs is proposed in this paper. The effectiveness of the test case ordering was measured using average percentage of faults detected (APFD). Experiments on three object-oriented subject programs involving three different techniques were performed to judge the proposed approach. The empirical results indicate that the algorithm implemented using CRO gives a higher APFD value than the other two techniques.</dc:description>
	<dc:publisher xml:lang="en-US">DRI - ITB</dc:publisher>
	<dc:date>2017-08-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.itb.ac.id/index.php/jictra/article/view/2067</dc:identifier>
	<dc:identifier>10.5614/itbj.ict.res.appl.2017.11.2.1</dc:identifier>
	<dc:source xml:lang="en-US">Journal of ICT Research and Applications; Vol. 11 No. 2 (2017); 113-130</dc:source>
	<dc:source>2338-5499</dc:source>
	<dc:source>2337-5787</dc:source>
	<dc:source>10.5614/itbj.ict.res.appl.2017.11.2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jictra/article/view/2067/2839</dc:relation>
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