SMUG: a Selective MUtant Generator tool.

Saved in:
Bibliographic Details
Title: SMUG: a Selective MUtant Generator tool.
Authors: Romano, Simone1 simone.romano@unibas.it, Scanniello, Giuseppe1 giuseppe.scanniello@unibas.it
Source: ICSE: International Conference on Software Engineering. 2017, p19-22. 4p.
Subjects: Prototype software, Java programming language, Plug-ins (Computer programs), Regression testing (Computer science), Code generators
Abstract: In this tool demo paper, we present a prototype of a tool for the selective generation of mutants in Java source code. We named this tool as SMUG (Selective MUtant Generator). Given two subsequent versions of a program, SMUG creates mutants by considering only those methods modified in, or added to, the second version. This is why it is a selective generator of mutants. On the basis of created mutants, SMUG generates a specified number of faulty versions of the program. We implemented SMUG as an Eclipse plug-in and employed this plug-in to assess regression test selection approaches. Therefore, SMUG has to be intended as a means to advance research in regression testing. We applied SMUG to create a total number of 200 faulty versions of 7 small-to-medium Java programs. [ABSTRACT FROM AUTHOR]
Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 125502369
AccessLevel: 6
PubType: Conference
PubTypeId: conference
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: SMUG: a Selective MUtant Generator tool.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Romano%2C+Simone%22">Romano, Simone</searchLink><relatesTo>1</relatesTo><i> simone.romano@unibas.it</i><br /><searchLink fieldCode="AR" term="%22Scanniello%2C+Giuseppe%22">Scanniello, Giuseppe</searchLink><relatesTo>1</relatesTo><i> giuseppe.scanniello@unibas.it</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22ICSE%3A+International+Conference+on+Software+Engineering%22">ICSE: International Conference on Software Engineering</searchLink>. 2017, p19-22. 4p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Prototype+software%22">Prototype software</searchLink><br /><searchLink fieldCode="DE" term="%22Java+programming+language%22">Java programming language</searchLink><br /><searchLink fieldCode="DE" term="%22Plug-ins+%28Computer+programs%29%22">Plug-ins (Computer programs)</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+testing+%28Computer+science%29%22">Regression testing (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Code+generators%22">Code generators</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In this tool demo paper, we present a prototype of a tool for the selective generation of mutants in Java source code. We named this tool as SMUG (Selective MUtant Generator). Given two subsequent versions of a program, SMUG creates mutants by considering only those methods modified in, or added to, the second version. This is why it is a selective generator of mutants. On the basis of created mutants, SMUG generates a specified number of faulty versions of the program. We implemented SMUG as an Eclipse plug-in and employed this plug-in to assess regression test selection approaches. Therefore, SMUG has to be intended as a means to advance research in regression testing. We applied SMUG to create a total number of 200 faulty versions of 7 small-to-medium Java programs. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=125502369
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/ICSE-C.2017.12
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 4
        StartPage: 19
    Subjects:
      – SubjectFull: Prototype software
        Type: general
      – SubjectFull: Java programming language
        Type: general
      – SubjectFull: Plug-ins (Computer programs)
        Type: general
      – SubjectFull: Regression testing (Computer science)
        Type: general
      – SubjectFull: Code generators
        Type: general
    Titles:
      – TitleFull: SMUG: a Selective MUtant Generator tool.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Romano, Simone
      – PersonEntity:
          Name:
            NameFull: Scanniello, Giuseppe
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: 2017
              Type: published
              Y: 2017
          Titles:
            – TitleFull: ICSE: International Conference on Software Engineering
              Type: main
ResultId 1