Rita Ganguly; Anirban Sarkar

Evaluation of Quality for Semi-Structured Database System

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Author(s)

Rita Ganguly ^1,* Anirban Sarkar ²

1. Department of Computer Applications; Dr.B.C.Roy Engineering College; Durgapur: 713206; West Bengal; India

2. Department of Computer Science; National Institute of Technology; Durgapur;713209; West Bengal; India

* Corresponding author.

DOI: https://doi.org/10.5815/ijcnis.2019.12.04

Received: 25 Oct. 2019 / Revised: 9 Nov. 2019 / Accepted: 17 Nov. 2019 / Published: 8 Dec. 2019

Index Terms

TCSS, Semi-structured, Metrics, Empirical Validation, GQL-SS, Quality Evaluation

Abstract

The quality evaluation of transactional calculus for semi-structured database system develops metrics for data quality. A conceptual data model of higher quality leads to a higher quality information system. Quality of a data model may affect with effectiveness i.e. the quality of results and the efficiency like time, effort etc. of development of information system. Hence, boosting up the data model quality is also prone to improve quality of delivered system. An array of metrics for quality has been proposed for the semi-structured data model with proper blend of metrics framework suitable for transactional calculus for data model of semi-structured. This paper proposes a framework for quality evaluation of transactional calculus for semi-structured database system using TCSS X-Query. In the proposed quality evaluation, the viewpoint has been described using a set of proposed quality measurements. Each of these quality measurements is linked with set of related metrics. The framework comprised of direct and indirect metrics for the purpose of quality evaluation. The framework facilities a double-fold view point using a set of quality measurement. In quality evaluation two viewpoint quality dimensions are focused: like designer level viewpoint and user level viewpoint. The proposed metrics set and measurements have been validated empirically. The purpose of empirical validation is to establish the metrics are practically useful for the assessment of quality measurements and operability factor.

Cite This Paper

Rita Ganguly, Anirban Sarkar, "Evaluation of Quality for Semi-Structured Database System", International Journal of Computer Network and Information Security(IJCNIS), Vol.11, No.12, pp.30-39, 2019. DOI:10.5815/ijcnis.2019.12.04

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