Demystifying Defects: Test Case Purification for Augmented Fault Localization in Data-Centric Software Regression

Demystifying Defects: Test Case Purification for Augmented Fault Localization in Data-Centric Software Regression

Registration ID: IJNRD_221656

Published ID: IJNRD2405486

DOI: Click Here to Get

BINOOP KUMAR C A , SUDHA P

Regression testing is a crucial process in software development, aimed at validating modified or added functionality and detecting faults introduced to previously tested code. However, the execution cost of regression testing can be substantial, particularly for large software systems with extensive test suites. This paper presents a novel approach to improve fault localization in regression testing for database applications by employing test case purification techniques. The proposed method involves clustering test cases based on their access to database entities, followed by the application of spectrum-based fault localization algorithms on purified test cases. Test case purification is a process that generates refined test cases containing a single assertion, thereby enhancing the discrimination power of fault localization techniques. The research evaluates the effectiveness of this approach using two database-driven software products, "Estafeta" and "Silabo," and compares the performance of three spectrum-based fault localization methods: Tarantula, Ochiai, and Jaccard. The results demonstrate that test case purification can significantly improve fault localization capabilities, with the Tarantula method outperforming the others in terms of fault detection rates. The proposed approach offers a promising solution for efficient and cost-effective regression testing in database applications, contributing to improved software quality and reduced development costs

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"Demystifying Defects: Test Case Purification for Augmented Fault Localization in Data-Centric Software Regression", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.e811-e813, May-2024, Available :https://ijnrd.org/papers/IJNRD2405486.pdf

Volume 9 Issue 5, May-2024

Pages : e811-e813

Paper Reg. ID: IJNRD_221656

Published Paper Id: IJNRD2405486

Downloads: 000121125

Research Area: Computer Science & Technology 

Country: PALAKKAD, KERALA, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405486.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405486

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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