Assessing the evidence from the use of SPC in monitoring, predicting & improving software quality

Computers and Industrial Engineering

Volumn 37, Issue 1, 1999, Pages 157-160

  Lewis, Nigel D C ^a  

^a CITY UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; COMPUTER SOFTWARE MAINTENANCE; COMPUTER SOFTWARE SELECTION AND EVALUATION; NEURAL NETWORKS; SOFTWARE ENGINEERING; STATISTICAL PROCESS CONTROL;

BAYESIAN BELIEF NETWORK; CONTINUOUS PROCESS IMPROVEMENT; PROCESS MODEL;

QUALITY CONTROL;

EID: 0032599573     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0360-8352(99)00044-3     Document Type: Article

References (9)

1. Arthur, L.J. (1983) Programmer Productivity. John Wiley & Sons. New York.
2. Florae WA., Park, R.E, Carleton, A.D., 1997, Practical Software Measurement: Measuring for Process Management and Improvement. Software Engineering Institute. Carnegie Mellon University. Pittsburgh.
3. Fenton, N.F., Pfleeger, S.L.(1997). Software Metrics. International Thomson Publishing Inc. London.
4. Haworth, D.A.(1996). Regression control charts to manage software maintenance. Software Maintenance: Research and Practice,8,35-48.
5. Lewis, N.D.C. (1998). Continuous process improvement using Bayesian Belief Networks. Proceedings of the 24th Conference on Computers and Industrial Engineering Elsevier Publishing.
6. Luke, S.R., Jacobs, D.A., Reed, B.M., (1993) Statistical process control for software in the maintenance phase. Naval Engineers Journal, May.
7. Ng, C.H., Case, K.E.(1993). Control limits and the ARL: Some surprises. Proceeding of the First Industrial Engineering Research Conference. 127:129.
8. Ould, M. (1997). SPC mistake of the '90s?, Software Reliability and Metrics Club Newsletter, May,1-2.
9. rd Annual Quality Congress Transactions, Milwaukee, WI: ASQC Quality Press.