Comprehensive Maintenance of Data Quality with Software Design and Analysis

Title

Comprehensive Maintenance of Data Quality with Software Design and Analysis

Creator

Suresh, Shwetha; Kumar, Kukatlapalli Pradeep; Babu Kumar, S.

Description

Software development activities rely heavily on the maintenance of data quality to ensure that decisions are performed efficiently without glitches. The paper will be oriented toward an in-depth approach to ensuring data accuracy through the structured design of quality-assured software. Cross-functional collaboration, problem resolution, and data validation are some of the techniques that shed light upon the essence of having multiple quality checkpoints at every stage of the software development lifecycle. The methodology is illustrated by use case and sequence diagrams that explain the interaction between system components within data validation workflows. It introduces a case study within a startup environment, which could be applied practically to solve data inconsistencies and improve operational processes on a general level. Some of the solutions developed through this novel approach to overcoming common data management challenges would include error detection automation and real-time feedback mechanisms. This paper discusses the important activity of QA in relation to data integrity. From there, the said paper continues to discuss how that concept may be applied in real life. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

Source

Lecture Notes in Networks and Systems;Volume;1355 LNNS;pp.93-102

Date

01-01-2025

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Data quality; Data validation; Issue resolution; Quality assurance; Software design

Coverage

Suresh S., Christ University, Karnataka, Banglore, India; Kumar K.P., Christ University, Karnataka, Banglore, India; Babu Kumar S., Christ University, Karnataka, Banglore, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISSN: 23673370; ISBN: 978-981964882-5;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-96-4883-2_9

https://www.scopus.com/pages/publications/105010636117?origin=resultslist