A NOVEL APPROACH TO TEST SUITE REDUCTION USING DATA MINING

Journal Title: Indian Journal of Computer Science and Engineering - Year 2011, Vol 2, Issue 3

Abstract

Software testing is the most important and time consuming part of software development lifecycle. The time spent in testing is mainly concerned with generating the test cases and testing them. Our goal is to reduce the time spent in testing by reducing the number of test cases. For this we have incorporated data mining techniques to reduce the number of test cases. Data mining finds similar patterns in test cases which helped us in finding out redundancy incorporated by automatic generated test cases. We proposed a methodology based on clustering by which we can significantly reduce the test suite. The final test suite is tested for coverage which yielded good results.

Authors and Affiliations

KARTHEEK MUTHYALA , RAJSHEKHAR NAIDU P

Keywords

Related Articles

Performance Optimization in SMF with PMD and PDL using MPO Technique

Polarization Mode Dispersion and Polarization Dependent Loss in Single Mode fiber can cause significant pulse broadening and leads to system degradation. In this paper, Multi Parameter Multi-output optimization technique...

SOFTWARE RELIABILITY OF PROFICIENT ENACTMENT

A software reliability exemplary projects snags the random process as disillusionments which were the culmination yield of two progressions: emerging faults and initial state values. The predominant classification uses t...

VERIFICATION OF BEHAVIOR PRESERVATION IN UML SEQUENCE DIAGRAMS USING GRAPH MODELS

The verification of model transformations is gaining significant attention recent years. This paper presents an approach for verifying the behavioral preservance property of UML behavioral models that have been subjected...

Discovering Non-Redundant Association Rules using MinMax Approximation Rules

Frequent pattern mining is an important area of data mining used to generate the Association Rules. The extracted Frequent Patterns quality is a big concern, as it generates huge sets of rules and many of them are redund...

KEYWORD EXTRACTION FOR PUNJABI LAGUAGE

This paper introduces keyword extraction for Punjabi language. Keywords are the index terms that contain the most important information about the contents of the document. Automatic keyword extraction is the task to iden...

Download PDF file
  • EP ID EP85708
  • DOI -
  • Views 182
  • Downloads 0

How To Cite

KARTHEEK MUTHYALA, RAJSHEKHAR NAIDU P (2011). A NOVEL APPROACH TO TEST SUITE REDUCTION USING DATA MINING. Indian Journal of Computer Science and Engineering, 2(3), 500-505. https://europub.co.uk./articles/-A-85708