Six sigma for software application of hypothesis tests to software data

Software Quality Journal

Volumn 12, Issue 1, 2004, Pages 29-42

  Arul, Krishna ^a   Kohli, Harsh ^b  

^a MOTOROLA   (United Kingdom)

^b MOTOROLA INC   (United States)

Author keywords

ANOVA (Analysis of Variance); Categorical analysis; Comparative methods; Correspondence analysis; Cost of poor quality; Cost of quality; Global Software Group (GSG); Hypothesis test; JMP The Statistical Discovery Software (from SAS institute)

Indexed keywords

COSTS; DATA REDUCTION; SOFTWARE PROTOTYPING; STATISTICAL METHODS; TELECOMMUNICATION; TESTING;

ANOVA (ANALYSIS OF VARIANCE); CATEGORICAL ANALYSIS; COMPARATIVE METHODS; COST OF QUALITY; GLOBAL SOFTWARE GROUP (GSG);

COMPUTER SOFTWARE;

EID: 3543054091     PISSN: 09639314     EISSN: 15731367     Source Type: Journal    
DOI: 10.1023/B:SQJO.0000013357.75406.91     Document Type: Article

References (6)

1. Agresti, A. 1996. Introduction to Categorical Data Analysis. Wiley Series in Probability and Statistics: Probability Section, New York, Wiley.
2. Dovich, A.R. 1992. Quality Engineering Statistics. Milwaukee, WI, ASQ Quality Press.
3. IMP. 2001. The Statistical Discovery Software™, June, Version 4, Statistics and Graphics.
4. Eenton, N. and Pfleeger, S. 1997. Software Metrics: A Rigorous and Practical Approach, 2nd ed. London, Thomson Computer Press.
5. MU. 2000. Motorola University CIC 102 Comparative Methods, Version 2.0, February.
6. Rath & Strong. 2002. Rath & Strong's, Six Sigma Pocket Guide. New York, McGraw-Hill.