A framework for software quality evaluation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2559, Issue , 2002, Pages 103-118

  Wong, Bernard ^a   Jeffery, Ross ^b  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

PROCESS ENGINEERING; QUALITY CONTROL; REGRESSION ANALYSIS; SOFTWARE TESTING;

COGNITIVE STRUCTURES; GOAL-QUESTION-METRIC; PRIMARY OBJECTIVE; QUALITY EVALUATION; SOFTWARE EVALUATION; SOFTWARE QUALITY EVALUATION; THEORETICAL FOUNDATIONS; THEORETICAL MODELING;

COMPUTER SOFTWARE SELECTION AND EVALUATION;

EID: 84949989926     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36209-6_11     Document Type: Conference Paper

References (33)

1. Wong, B. and Jeffery, R.: Cognitive Structures of Software Evaluation: A Means-End Chain Analysis of Quality, Proceedings of the Third International Conference, PROFES 2001, 2001, pp 6-26.
2. Wong, B: The Appropriateness of Gutman’s Means End Chain Model in Software Evaluation, Proceedings of the 2002 International Symposium on Empirical Software Engineering, ISESE 2002, pp 56-65.
3. Wong, B. and Jeffery, R.: Quality Metrics: ISO9126 and Stakeholder Perceptions, Proceedings of the Second Australian Conference on Software Metrics, 1995, pp 54-65.
4. Wong, B. and Jeffery, R.: A Pilot Study of Stakeholder Perceptions of Quality, Technical Report, CSIRO, 1996.
5. Rokeach: Beliefs, Attitudes and Values, San Francisco: Jossey Bass, 1968.
6. Yankelovich: New Rules, New York: Random House.
7. Gutman, J.: A Means-End Chain Model Based on Consumer Categorization Processes, Journal of Marketing, 46 (Spring): 60-72.
8. Gutman, J.: Means-End Chains as Goal Hierarchies, Psychology and Marketing, 14 (6):1997 545-560.
9. Bagozzi, R.: Goal-directed behaviours in marketing: cognitive and emotional, Psychology and Marketing, 14, Sept 1997, pp 539-543.
10. Valette-Florence, P.: A Causal Analysis of Means-End Hierarchies in a Crosscultural Context: Metholodogical Refinements, Journal of Business Research, v 42 No 2 June 1998, pp161-166.
11. Bagozzi, R. and Dabholkar, P.: Discursive psychology: an alternative conceptual foundation to means-end chain theory, Psychology and Marketing, 17, July 2000, pp 535-586.
12. Kahle L, Beatty S and Homer P.: Alternative Measurement Approaches to Consumer Values: The List of Values (LOV) and Values and Life Style (VALS), Journal of Consumer Research, 13 December, 1986, 405-409.
13. Oppenheim A: Questionnaire Design, Interviewing and Attitude Measurement, London: Pinter, 1992.
14. Payne S: The Art of Asking Questions, New Jersey: Princeton University, 1951.
15. Maddala G: Introduction to Econometrics, New York: Macmillan, 1992.
16. Kim J and Mueller C: Introduction to Factor Analysis. What it is and how to do it, London: Sage, 1978.
17. Anderson T and Zelditch M: Basic Course in Statistics, New York: Holt, Rinehart and Winston, 1968.
18. Wong, B: An Investigation of the Cognitive Structures used in Software Quality Evaluation, Unpublished PhD Thesis, University of New South Wales, 2002.
19. Wright S: The Method of Path Coefficients, Annals of Mathematical Statistics, 5, 1934, pp. 161-215.
20. Ullman J B: Structural Equation Modeling (in Using Multivariate Statistics, Third Edition, BG Tabachnick and LS Fidell Eds), HarperCollins College Publishers, New York, NY, 1996, pp. 709-819.
21. Bollen K A: Structural Equations with Latent Variables, John Wiley and Sons, New York, 1989.
22. Marsh H W, Balla J R and McDonald R P: Goodness of Fit Indices in Confirmatory Factor Analysis: The Effect of Samle Size, Psychological Bulletin, 103(3), 1988, pp. 391-410.
23. Tanaka J S: Multifaceted Conceptions of Fit in Structural Equation Model, in K.A. Bollen and J.Scott Long (Editors), Testing Structural Equation Models, Newbury Park, CA: Sage, 1993, pp. 10-39.
24. Hoyle R and Panter A: Writing About Structural Equation Models, in Structural Equation Modeling, Concepts, Issues and Applications, R.H. Hoyle (ed), Sage Publications, Thousand Oaks, CA 1995, pp. 158-176.
25. Chin W W: Issues and Opinion on Structural Equation Modeling, Management Information Systems Quarterly, 22(1), Mar 1998.
26. MacCallum R C, Wegener D T, Uchino B N, Fagbrigar L R: The Problem of Equivalent Models in Applications of Covaraiance Structure Analysis, Psychological Bulletin, 114(1), 1993, pp.185-199.
27. Breckler S J: Application of Covariance Structure Modeling in Psychology: Cause for Concern?, Psychological Bulletin, 107(2), 1990, pp. 260-372.
28. Jöreskog K G and Sörbom D: Lisrel 8: User’s Reference Guide, Chicago: Scientific Software, 1993.
29. Bentler P M: Drug use and personality in Adolescence and Young Adulthood: Structural Model with Nonnormal Variables, Child Development, 58, 1987, pp. 65-79.
30. Bentler P M and Bonnett D G: Significance Tests and Goodness of Fit in the Analysis of Covariance Structures, Psychological Bulletin, 88, 1980, pp. 588-606.
31. Bentler P M: Comparative Fit Indexes in Structural Model, Psychological Bulletin, 107, 1990, pp. 238-246.
32. Cohen J: Statistical Power Analysis for the Behavioural Sciences, 2nd Edition, Hillsdale,NJ: L. Erlbaum Associates, 1988.
33. Rombach D and Basili V: Practical Benefits of Goal-Oriented Measurement, Proceedings Annual Workshop of the Centre for Software Reliability: Reliability and Measurement, Garmisch-Partenkirchen, Germany: Elsevier, 1990.