• Sunita Khurana
• Shakti Banerjee

In this paper we consider a software technique of orthogonal array testingapplying C programming approach. The main objective of a screening experiment is to identify significant factors of the studies. All the fields (Engineering, Medical, Agriculture etc.) require designs with minimum number of runs. Many designsuse the number of factors k equal ton-1, where n is the number of runs. But scientists can’t even afford the number of runs required for these designs. For this purpose we try designs to be used with C language for efficient work on enterprise applications to complete any statistical experimental design with minimum time and cost. Orthogonal array testing strategygenerates reduced numbers of test cases automatically. It is very highly desirable in the context of industrial experimentation.

Orthogonal Array Approach, Pairwise testing strategy,Mixed orthogonal array approach, Software Testing, Test Case Generation, Test Case Reduction, OATS(Orthogonal array testing Strategy)

"AN APPROACH FOR TEST CASES OPTIMIZATION IN REFERENCE TO HEALTH DATA USING SOFTWARE TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.31-37, September-2018, Available :http://www.jetir.org/papers/JETIRA006237.pdf

"AN APPROACH FOR TEST CASES OPTIMIZATION IN REFERENCE TO HEALTH DATA USING SOFTWARE TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp31-37, September-2018, Available at : http://www.jetir.org/papers/JETIRA006237.pdf