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Test Case Design using Black Box Testing Techniques for Data Mart

by Payal Pahwa, Renu Miglani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 3
Year of Publication: 2015
Authors: Payal Pahwa, Renu Miglani
10.5120/19169-0636

Payal Pahwa, Renu Miglani . Test Case Design using Black Box Testing Techniques for Data Mart. International Journal of Computer Applications. 109, 3 ( January 2015), 18-22. DOI=10.5120/19169-0636

@article{ 10.5120/19169-0636,
author = { Payal Pahwa, Renu Miglani },
title = { Test Case Design using Black Box Testing Techniques for Data Mart },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 3 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 18-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume109/number3/19169-0636/ },
doi = { 10.5120/19169-0636 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:43:50.173360+05:30
%A Payal Pahwa
%A Renu Miglani
%T Test Case Design using Black Box Testing Techniques for Data Mart
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 3
%P 18-22
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data Warehouse is a logical stockroom which accumulates and maintains enormous volume of data. It is very important for the enterprise that needs to analyze data obtained from heterogeneous sources to take tactical decisions. Any enterprise that wants to expand, survive and beat out the competition must have control over data. Any error or inconsistency in the data may lead to improper decision which may cause immense losses to enterprise. Data Warehouse testing is carried out to eliminate the errors and inconsistencies that arise due to data being collected from desperate sources in different formats. Data Warehouse testing is too expensive and time consuming practice as exhaustive testing is not possible. Therefore the concept of Data Mart comes into existence. Data Mart is a specialized subset of Data Warehouse which fulfills the data requirement of a specific group. Testing of a Data Mart is much easier and manageable process as compared to testing of a Data Warehouse. In order to test the data mart, there are a number of strategies that allow us to select a set of test cases and test data which are very effective in detecting errors. In our paper we have discussed black box and white box testing techniques concerning Data Mart in brief. We have explored black box techniques to select test cases as they have systematic approach to uncover a great number of errors. We have also proposed to design the test cases using Boundary Value Analysis, Equivalence Class Partitioning and the combination of both techniques. The test cases designed using these techniques are very successful to detect previously undetected errors or faults in a Data Mart. These are also proficient for testing the worst case and robustness of Data Mart.

References
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  4. Payal Pahwa and Renu Miglani, "Domain Level Analysis of Data Mart Quality Factors along with Best-fit Tests to minimize defects", International Journal of Engineering Sciences Paradigms and Researches, Vol. 02, Issue 01, December 2012.
  5. Neveen ElGamal, Ali, El BastaWissy and GalalGalal-Edeen,"Towards a Data Warehouse Testing Framework" , Ninth International Conference on ICT and Knowledge Engineering, 2011.
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  7. Mohd. Ehmer Khan , Farmeena Khan "A Comparative Study of White Box, Black Box and Grey Box Testing Techniques ", International Journal of Advanced Computer Science and Applications, Vol. 3, No. 6, 2012.
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Index Terms

Computer Science
Information Sciences

Keywords

Data Warehouse Data Mart Data Mart testing Black box testing technique White box testing technique Equivalence class partitioning Boundary value analysis