Common coupling and pointer variables, with application to a Linux case study-Reference-Cited by-同舟云学术

Common coupling and pointer variables, with application to a Linux case study

Published:2007-01-17 Issue:1 Volume:15 Page:99-113
ISSN:0963-9314
Container-title:Software Quality Journal
language:en
Short-container-title:Software Qual J

Author:

Schach Stephen R.,Adeshiyan Tokunbo O. S.,Balasubramanian Daniel,Madl Gabor,Osses Esteban P.,Singh Sameer,Suwanmongkol Karlkim,Xie Minhui,Feitelson Dror G.

Publisher

Springer Science and Business Media LLC

Subject

Safety, Risk, Reliability and Quality,Software

Link

http://link.springer.com/content/pdf/10.1007/s11219-006-9005-0.pdf

Reference14 articles.

1. Binkley, A.B., Schach, S.R. 1998. Validation of the coupling dependency metric as a predictor of run-time failures and maintenance measures. In: 20th Intl Conf. Softw. Eng. pp. 452–455.

2. Feitelson, D.G., Adeshiyan, T.O.S., Balasubramanian, D., Etsion, Y., Madl, G., Osses, E.P., Singh, S., Suwanmongkol, K., Xie, M., Schach, S.R. 2007. Fine-grain analysis of common coupling and its application to a Linux case study. J Syst. Softw., to appear.

3. Hollander, M., Wolfe, D.A. 1973. Nonparametric Statistical Methods. John Wiley & Sons.

4. Johnson, J., Boucher, K.D., Connors, K., Robinson, J. 2001. Project management: the criteria for success. Softwaremag.com, URL www. softwaremag.com/archive/2001feb/CollaborativeMgt.html.

5. Jones, C. 1995. Patterns of Software System Failure and Success. Intl Thomson Computer Pr (Sd).

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