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MAINTAINABILITY PREDICTORS FOR RELATIONAL DATABASE-DRIVEN SOFTWARE APPLICATIONS: EXTENDED RESULTS FROM A SURVEY

MEHWISH RIAZ

Department of Computer Science, The University of Auckland, 38 Princes Street, Auckland, New Zealand

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EWAN TEMPERO

Department of Computer Science, The University of Auckland, 38 Princes Street, Auckland, New Zealand

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MUHAMMAD SULAYMAN

Department of Computer Science, The University of Auckland, 38 Princes Street, Auckland, New Zealand

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, and

EMILIA MENDES

College of Computing, Blekinge Institute of Technology, Karlskrona, Sweden

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https://doi.org/10.1142/S0218194013500149Cited by:2 (Source: Crossref)

Abstract

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.

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