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A model for IS quality

Inger Eriksson, Aimo Törn

Open publisher page 32 citations

Abstract

Different concepts of software quality are reviewed and discussed in this paper. Based on this, a hierarchical model of information system (IS) quality concepts developed in the research project SOLE* is presented. This model aims at a division of quality concepts consistent with the different decision makers and decisions made during the software life-cycle. The main division is into IS cost effectiveness, IS use quality and IS work quality. The last two are further divided into requirement quality, interface quality, and efficient IS management, evolution quality and operation quality, respectively.

About this research paper

What this paper is about

Different concepts of software quality are reviewed and discussed in this paper. Based on this, a hierarchical model of information system (IS) quality concepts developed in the research project SOLE* is presented. This model aims at a division of quality concepts consistent with the different decision makers and decisions made during the software life-cycle. The main division is into IS cost effectiveness, IS use quality and IS work quality. The last two are further divided into requirement quality, interface quality, and efficient IS management, evolution quality and operation quality, respectively.

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OpenAlex reports 32 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Different concepts of software quality are reviewed and discussed in this paper. Based on this, a hierarchical model of information system (IS) quality concepts developed in the research project SOLE* is presented. This model aims at a division of quality concepts consistent with the different decision makers and decisions made during the software life-cycle. The main division is into IS cost effectiveness, IS use quality and IS work quality. The last two are further divided into requirement quality, interface quality, and efficient IS management, evolution quality and operation quality, respectively.

Key concepts: Computer science, Quality (philosophy), Physics, Quantum mechanics

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