Ensuring reliability of information provided by measurement systems

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

Volumn 5891 LNCS, Issue , 2009, Pages 1-16

  Staron, Miroslaw ^a   Meding, Wilhelm ^b  

^a UNIVERSITY OF GOTHENBURG   (Sweden)

^b ERICSSON RESEARCH   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED MEASUREMENT SYSTEMS; COMPLEX SOFTWARE; ERICSSON; INFORMATION QUALITY; ISO/IEC 15939; LARGE PROJECT; MEASUREMENT SYSTEM; RELIABILITY OF INFORMATION; SOFTWARE METRICS;

COMPUTER SOFTWARE SELECTION AND EVALUATION; DECISION MAKING; SOFTWARE ENGINEERING;

MEASUREMENTS;

EID: 78650646058     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-05415-0_1     Document Type: Conference Paper

References (23)

1. Umarji, M., Emurian, H.: Acceptance issues in metrics program implementation. In: 11th IEEE International Symposium Software Metrics (2005).
2. Iversen, J., Iversen, J., Mathiassen, L.: Lessons from implementing a software metrics program. In: Proceedings of the 33rd Annual Hawaii International Conference (2000).
3. Kilpi, T.: Implementing a Sw. Metrics Program at Nokia. IEEE Sw. 18(6), 72-77 (2001).
4. De Panfilis, S., Kitchenham, B., Morfuni, N.: Experiences introducing a measurement program. Computer Standards & Interfaces 21(2), 165-166 (1999).
5. Kitchenham, B., Linkman, S.: Design metrics in practice. Information and Software Technology 32(4), 304-310 (1990).
6. Garcia, F., et al.: Towards a consistent terminology for software measurement. Information and Software Technology 48(8), 631-644 (2006).
7. ISO/IEC International vocabulary of basic and general terms in metrology, 2nd edn., 59 p. ISO, Genève, Switzerland (1993).
8. Yingxu, W.: The measurement theory for software engineering. In: Canadian Conference on Electrical and Computer Engineering, 2003. IEEE CCECE 2003 (2003).
9. International Standard Organization, Software product evaluation 14598-1:1999 (1999).
10. International Standard Organization and International Electrotechnical Commission, ISO/IEC 15939 Software engineering - Software measurement process, Geneva (2007).
11. Staron, M., Meding, W., Nilsson, C.: A Framework for Developing Measurement Systems and its Industrial Evaluation. Inf. and Sw. Technology 51(4), 721-737 (2008).
12. Lee, Y.W., et al.: AIMQ: a methodology for information quality assessment. Information & Management 40(2), 133-146 (2002).
13. Kahn, B.K., Strong, D.M., Wang, R.Y.: Information Quality Benchmarks: Product and Service Performance. Communications of the ACM 45(5), 184-192 (2002).
14. Mayer, D.M., Willshire, M.J.: A Data Quality Engineering Framework. In: International Conference on Information Quality (1997).
15. Goodhue, D.L., Thompson, R.L.: Task-technology fit and individual performance. MIS Quarterly 19(2), 213-237 (1995).
16. Serrano, M., Calero, C., Trujillo, J., Luján-Mora, S., Piattini, M.: Empirical Validation of Metrics for Conceptual Models of Data Warehouses. In: Persson, A., Stirna, J. (eds.) CAiSE 2004. LNCS, vol. 3084, pp. 506-520. Springer, Heidelberg (2004).
17. Price, R., Shanks, G.: A semiotic information quality framework: development and comparative analysis. Journal of Information Technology 2005(20), 88-102 (2005). (Pubitemid 40818707)
18. Caballero, I., et al.: A Data Quality Meas. Inf. Model Based On ISO/IEC 15939 (2007).
19. Berry, M., Jeffery, R., Aurum, A.: Assessment of software measurement: an information quality study. In: Proceedings of 10th Int. Symposium on Software Metrics (2004).
20. Bellini, P., et al.: Comparing fault-proneness estimation models (2005).
21. Raffo, D.M., Kellner, M.I.: Empirical analysis in software process simulation modeling. Journal of Systems and Software 53(1), 31-41 (2000).
22. Stensrud, E., et al.: An empirical validation of the relationship between the magnitude of relative error and project size (2002).
23. Yuming, Z., Hareton, L.: Emp. Analysis of OO Design Metrics for Predicting High and Low Severity Faults. IEEE Trans. on Sw. Eng. 32(10), 771-789 (2006).