ACM Home Page
Please provide us with feedback. Feedback
Validation of ultrahigh dependability for software-based systems
Full text PdfPdf (4.39 MB)
Source
Communications of the ACM archive
Volume 36 ,  Issue 11  (November 1993) table of contents
Pages: 69 - 80  
Year of Publication: 1993
ISSN:0001-0782
Authors
Bev Littlewood  City Univ., London, UK
Lorenzo Strigini  Italian National Research Council, Pisa, Italy
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 8,   Downloads (12 Months): 64,   Citation Count: 21
Additional Information:

references   cited by   index terms   review   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/163359.163373
What is a DOI?

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
Adams, E.N. Optimizing preventive service of software products. IBM J Res. Develop, 28, I (1984), 2-14.
 
3
Anderson, T., Barrett, P.A., Halliwell, D.N. and Moulding, M.R. Software fault tolerance: An evaluation IEEE Trans. Softw. Eng. SE-11, 12, (1985), 1502-1510.
 
4
Avizienis, A. and Kelly, J.P.J. Fault tolerance by design diversity: Concepts and experiments. IEEE Comput. 17 (1984), 67-80.
 
5
Barwise. J. Mathematical proofs of computer system correctness. Not. AMS 36 (Sept. 1989), 844-851.
 
6
Bishop, P.G. and Pullen, F.D. PODS revisited-A study of software failure behavior. In Proceedings of the Eighteenth International Symposium on fault- Tolerant Computing, (Tokyo, Japan, 1988). pp.1-8.
 
7
 
8
de Groot< M.H. Optimal Statistical Decisions. McGraw-Hill, New York, 1970.
 
9
Federal Aviation Administration Advisory Circular, AC 25, 1309-IA.
 
10
Garrick. B.J. The approach to risk analysis in three industries: Nuclear power, space systems, and chemical process. Reliability Eng. Syst. Safety 23 (1988), 195-205.
 
11
Giloth. F.K. and prantzen, K.D. can the freliability of digital telecommunication switching systems be predicted and measured In proceedings of the Thirteenth International symposium on Fault-tolerant Computin, (Milano, Italy, 1983), pp. 392-397.
 
12
Knight, J.C. and Leveson. N.G. An empircal study of failure probabilities in multi-version software. In proceedings of the Sixteenth International symposium on fault-Tolerant Computing (Vienna, Austria, 1986), pp. 165- 170.
13
 
14
Littlewood, B. Limits toevaluation of software dependabillity. In software Reliabilityy and Metrics (Proceedings of Seventh Annual CSR Conference, Garmisch-Partenkirchen), N. Fenton and B. Littlewood. Eds. Elsevier, London. pp. 81-110.
 
15
 
16
Miller, D.R. The role of statistical modeling and inferernce insoftware quality assurance. In Software Certification Elsevier, Barking, Essex, UK, 1989, pp. 135-152.
17
 
18
Perrow, C. Normal Accidents--Living with High Risk Technologies, Basic Books, New York, 1984.
 
19
Powell. D. Failure mode and assumption coverage. In Proceedings of the Twenty-Second International Aymposium on Fault-Tolerant Computing (Boston. Mass., 1992), pp. 186-395.
 
20
RTCA Committee SC-176, Software Considerations in Airbornbe systems and Equipment Certification. Draft DO-178-B.7, July 27, 1992. RTCA, (Requirements and Technical Concepts for Aviation), 1140 Connecticut Ave, NW, Suite 1020, Washington DC 20036.
 
21
RTCA/EUROCAE: (Radio Technical Commission for Aeronauticds and European Organization for Civil Aviation Electonics). Software Consideratopms om Airborne Systems and Equipment Certification, Doc. DO178A/EUROCAE ED-12A. 1985.
 
22
Wainwright, N. Software aspects of digital computer based protection systems. Assessment Guide AG3, Nuclear Installations Inspectrorate, Issue 1 (draft), 1991.
 
23
Wright, G. and Ayton, P. Judgemental Forecasting. Wiley and Sons, Chocjester. UK. 1987.

CITED BY  21


REVIEW

"Richard A. Baker, Jr. : Reviewer"

Littlewood and Strigini present a depressing summary of the use of software in ultrahigh-reliability applications. In situations where software must have a probability of failure less than 10-9 more...

Collaborative Colleagues:
Bev Littlewood: colleagues
Lorenzo Strigini: colleagues