Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Knowledge management in software testing: A systematic snowball literature review
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
2018 (engelsk)Inngår i: e-Informatica Software Engineering Journal, ISSN 1897-7979, E-ISSN 2084-4840, Vol. 12, nr 1, s. 51-78Artikkel, forskningsoversikt (Fagfellevurdert) Published
Abstract [en]

Background: Software testing benefits from the usage of Knowledge Management (KM) methods and principles. Thus, there is a need to adopt KM to the software testing core processes and attain the benefits that it provides in terms of cost, quality, etc. Aim: To investigate the usage and implementation of KM for software testing. The major objectives include 1. To identify various software testing aspects that receive more attention while applying KM. 2. To analyse multiple software testing techniques, i.e. test design, test execution and test result analysis and highlight KM involvement in these. 3. To gather challenges faced by industry due to the lack of KM initiatives in software testing. Method: A Systematic Literature Review (SLR) was conducted utilizing the guidelines for snowballing reviews by Wohlin. The identified studies were analysed in relation to their rigor and relevance to assess the quality of the results. Results: The initial resulting set provided 4832 studies. From these, 35 peer-reviewed papers were chosen among which 31 are primary, and 4 are secondary studies. The literature review results indicated nine testing aspects being in focus when applying KM within various adaptation contexts and some benefits from KM application. Several challenges were identified, e.g., improper selection and application of better-suited techniques, a low reuse rate of software testing knowledge, barriers in software testing knowledge transfer, no possibility to quickly achieve the most optimum distribution of human resources during testing, etc. Conclusions: The study brings supporting evidence that the application of KM in software testing is necessary, e.g., to increase test effectiveness, select and apply testing techniques. The study outlines the testing aspects and testing techniques that benefit their users.

sted, utgiver, år, opplag, sider
Politechnika Wroclawska , 2018. Vol. 12, nr 1, s. 51-78
Emneord [en]
KM, Knowledge, Software testing, Systematic literature review, Application programs, Computer software reusability, Knowledge management, Testing, Literature reviews, Rigor and relevances, Software testing techniques, Systematic literature review (SLR), Test effectiveness, Testing knowledge
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-15737DOI: 10.5277/e-Inf180103ISI: 000438141300003Scopus ID: 2-s2.0-85039856186OAI: oai:DiVA.org:bth-15737DiVA, id: diva2:1172852
Merknad

open access

Tilgjengelig fra: 2018-01-11 Laget: 2018-01-11 Sist oppdatert: 2018-08-20bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopusKnowledge management in software testing

Personposter BETA

Wnuk, Krzysztof

Søk i DiVA

Av forfatter/redaktør
Wnuk, KrzysztofGarrepalli, Thrinay
Av organisasjonen
I samme tidsskrift
e-Informatica Software Engineering Journal

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 135 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf