mdh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Model Based Testing for Non-Functional Requirements
Mälardalen University, School of Innovation, Design and Engineering. (Masters in Software Engineering)
Mälardalen University, School of Innovation, Design and Engineering. (Masters in Software Engineering)
2010 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Model Based Testing (MBT) is a new-age test automation technique traditionally used for Functional Black-Box Testing. Its capability of generating test cases by using model developed from the analysis of the abstract behavior of the System under Test is gaining popularity. Many commercial and open source MBT tools are available currently in market. But each one has its own specific way of modeling and test case generation mechanism that is suitable for varied types of systems. Ericsson, a telecommunication equipment provider company, is currently adapting Model Based Testing in some of its divisions for functional testing. Those divisions haven’t yet attempted adapting Model Based Testing for non-functional testing in a full-pledged manner. A comparative study between various MBT tools will help one of the Ericsson’s testing divisions to select the best tool for adapting to its existing test environment. This also helps in improving the quality of testing while reducing cost, time and effort. This thesis work helps Ericsson testing division to select such an effective MBT tool. Based on aspects such as functionality, flexibility, adaptability, performance etc., a comparative study is carried out on various available MBT tools and a few were selected among them: Qtronic, ModelJUnit and Elvior Motes.This thesis also helps to understand the usability of the selected tools for modeling of non-functional requirements using a new method. A brief idea of modeling the non-functional requirements is suggested in this thesis. A System under Test was identified and its functional behavior was modeled along with the non functional requirements in Qtronic and ModelJUnit. An experimental analysis, backed by observations of using the new proposed method indicates that the method is efficient enough to carry out modeling non-functional requirements along with modeling of functional requirements by identifying the appropriate approach.Model Based Testing (MBT) is a new-age test automation technique traditionally used for Functional Black-Box Testing. Its capability of generating test cases by using model developed from the analysis of the abstract behavior of the System under Test is gaining popularity. Many commercial and open source MBT tools are available currently in market. But each one has its own specific way of modeling and test case generation mechanism that is suitable for varied types of systems. Ericsson, a telecommunication equipment provider company, is currently adapting Model Based Testing in some of its divisions for functional testing. Those divisions haven’t yet attempted adapting Model Based Testing for non-functional testing in a full-pledged manner. A comparative study between various MBT tools will help one of the Ericsson’s testing divisions to select the best tool for adapting to its existing test environment. This also helps in improving the quality of testing while reducing cost, time and effort. This thesis work helps Ericsson testing division to select such an effective MBT tool. Based on aspects such as functionality, flexibility, adaptability, performance etc., a comparative study is carried out on various available MBT tools and a few were selected among them: Qtronic, ModelJUnit and Elvior Motes.

This thesis also helps to understand the usability of the selected tools for modeling of non-functional requirements using a new method. A brief idea of modeling the non-functional requirements is suggested in this thesis. A System under Test was identified and its functional behavior was modeled along with the non functional requirements in Qtronic and ModelJUnit. An experimental analysis, backed by observations of using the new proposed method indicates that the method is efficient enough to carry out modeling non-functional requirements along with modeling of functional requirements by identifying the appropriate approach.

Place, publisher, year, edition, pages
2010. , p. 72
Keywords [en]
Software testing, model based testing, non functional requirements, MBT tools, Qtronic, ModelJUnit
Identifiers
URN: urn:nbn:se:mdh:diva-9851OAI: oai:DiVA.org:mdh-9851DiVA, id: diva2:325635
Presentation
2010-06-08, MDH, Vasteras, 16:54 (Swedish)
Uppsok
Technology
Supervisors
Examiners
Available from: 2010-07-01 Created: 2010-06-18 Last updated: 2010-07-01Bibliographically approved

Open Access in DiVA

fulltext(2815 kB)4408 downloads
File information
File name FULLTEXT01.pdfFile size 2815 kBChecksum SHA-512
9e66163f6256692e6c975b0eb154836ddd5ca0d3840a578959cadaf77186bb6802e3c29d3408bd75265d5d46bcebc14c3bb7261c6f373d65e9f1bcacf1ff270e
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Cherukuri, Vijaya KrishnaGupta, Piyush
By organisation
School of Innovation, Design and Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 4408 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 725 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf