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Maintainability Predictors For Relational Database-Driven Software Applications: Extended Results From A Survey
Blekinge Institute of Technology, School of Computing.
2013 (English)In: International Journal of Software Engineering and Knowledge Engineering, ISSN 0218-1940 , Vol. 23, no 4, 507-522 p.Article in journal (Refereed) Published
Abstract [en]

Software maintainability is a very important quality attribute. Its prediction for relational database-driven software applications can help organizations improve the maintainability of these applications. The research presented herein adopts a survey-based approach where a survey was conducted with 40 software professionals aimed at identifying and ranking the important maintainability predictors for relational database-driven software applications. The survey results were analyzed using frequency analysis. The results suggest that maintainability prediction for relational database-driven applications is not the same as that of traditional software applications in terms of the importance of the predictors used for this purpose. The results also provide a baseline for creating maintainability prediction models for relational database-driven software applications.

Place, publisher, year, edition, pages
world scientific , 2013. Vol. 23, no 4, 507-522 p.
Keyword [en]
Software maintainability, relational database-driven software applications, survey, predictors, frequency analysis
National Category
Software Engineering Computer Science
Identifiers
URN: urn:nbn:se:bth-6811DOI: 10.1142/S0218194013500149ISI: 000322397000005Local ID: oai:bth.se:forskinfo87BC51D7C3321DBFC1257BC8001EDBCBOAI: oai:DiVA.org:bth-6811DiVA: diva2:834358
Available from: 2013-12-17 Created: 2013-08-15 Last updated: 2015-06-30Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
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Output format
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