Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Suresh, Shwetha; Kumar, Kukatlapalli Pradeep; Babu Kumar, S. Title A name given to the resource Comprehensive Maintenance of Data Quality with Software Design and Analysis Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems;Volume;1355 LNNS;pp.93-102 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-4883-2_9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-4883-2_9</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105010636117?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105010636117?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Suresh S., Christ University, Karnataka, Banglore, India; Kumar K.P., Christ University, Karnataka, Banglore, India; Babu Kumar S., Christ University, Karnataka, Banglore, India Description An account of the resource 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. Subject The topic of the resource Data quality; Data validation; Issue resolution; Quality assurance; Software design Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981964882-5; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online